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https://events.snowflake.com/summit/sessions/agenda/session/1158548 | Generative AI’s Impact on Data Innovation in the Enterprise | 30/06/2025 05:00 PM | #NAME? | (45 min) | Caesars Palace, Octavius Ballroom | Keynote|Non-Technical|All Industries|BI / Analyst|Business Executive|Data Engineer|Data Scientist|DevOps|IT / DBA|Product Manager|Security Practitioner|Software Developer|Technical Executive|Generative AI & LLM|AI/ML | Nearly every enterprise is assessing the potential for Generative AI to better serve their users and customers. Join this CEO fireside chat with Jensen Huang from NVIDIA and Snowflake’s Frank Slootman to discuss trends in Generative AI and accelerated computing, the pace of disruption, and the impact on every industry and business model. Sarah Guo, former Greylock general partner and current founder and CEO of Conviction, will moderate.This session will be recorded. | Frank SlootmanSnowflakeChairman and Chief EJensen HuangNVIDIAFounder and CEOSarah GuoConvictionFounder & CEO |
https://events.snowflake.com/summit/sessions/agenda/session/1146807 | AT002: All-Female Hackathon: Empowering Change Through Insights | 30/06/2025 09:00 AM | - 3:00 PM | (6 hours) | Linq Hotel, Icon D | Activity | Snowflake in partnership with Women in Data is organising an all-female hackathon event to empower women through data and promote diversity and inclusion in the tech industry. The event will focus on various female-related topics such as the gender pay gap, education gap, gender bias, and inequalities in women's health. Women with SQL knowledge, regardless of their level of experience, are invited to join and explore the use of Snowflake technology to drive insights and create positive change. By bringing together a community of like-minded women, the hackathon aims to create a supportive and inclusive environment where participants can learn new skills, make connections, and make a meaningful impact in the industry. Don't miss out on this unique opportunity to be part of a movement that drives positive change and creates a more diverse and inclusive tech industry. This is an all-female hackathon. Basic SQL knowledge is recommended to participate | |
https://events.snowflake.com/summit/sessions/agenda/session/1159793 | IN107: Software Defined Manufacturing and Automotive:DXC+Snowflake Accelerating Innovation with Data | 03/07/2025 10:00 AM | #REF! | (20 min) | Caesars Forum, West Theater B | Industry Impact|Theater Session|Introductory | As we evolve to a software defined world, the manufacturing and automotive industries will undergo massive growth in data creation supporting the future and driving innovation for these industries. This data growth will impact all facets of the manufacturing industry and change the way we engage and interact with automobiles and transportation. This evolution can be successful only when the data silos of today are eliminated and replaced with modern data solutions. Enter the Snowflake Data Cloud applied to industry solutions. Learn how DXC + Snowflake are working together with their customers to create better insights and services from IoT and other sensor data that can generate efficiencies in cost, speed, and quality, while driving software defined manufacturing and automotive industry innovation. | Matthias BauhammerDXC TechnologyHead of Automotive, Sunil MenonDXC TechnologyManaging Director, H |
https://events.snowflake.com/summit/sessions/agenda/session/1116025 | MA208: Snowflake on Snowflake: Supercharge Marketing Analytics with Snowflake and Streamlit | 03/07/2025 10:00 AM | #REF! | (45 min) | Caesars Palace, Julius 7 | Marketing Analytics|Breakout Session|Intermediate|All Industries|BI / Analyst|Data Engineer|Data Scientist|Software Developer|Application Development|BI / Analytics|Customer 360|Marketing Analytics|AI/ML | The way users consume and interact with data has historically been limited to spreadsheets and dashboards that restrict their ability to gain dynamic insights. Empowered by the Data Cloud and Streamlit, the Snowflake Marketing Team has built custom, flexible, user-friendly applications in Python, which can be shared instantly with hundreds of stakeholders to offer them the analytics they need without restriction. Less technical users can now see complex visualizations from any of Python's plotting libraries, take action to write to tables in Snowflake, and even run machine learning models in real time. In this technical session, we will walk through how we built:- A user-segmentation app for lead data- Website analytics with complex path visualizations- Workflow automation for business development reps - A sales qualified opportunity forecasting dashboard This session will be recorded. | Branden CiranniSnowflakeBusiness IntelligencDaniel ChowSnowflakeData Scientist |
https://events.snowflake.com/summit/sessions/agenda/session/1148208 | DE208B: Data Engineering with Python in Snowflake (Repeat) | 03/07/2025 10:00 AM | #REF! | (45 min) | Caesars Forum, Academy 411 | Data Engineering|Breakout Session|Intermediate|All Industries|Data Engineer|Data Scientist|DevOps|Software Developer|Data Engineering & Pipelines|Modernize Pipelines|DevOps | Cloud Data Engineering for Dummies, Snowflake Special Edition, states: "Data engineering isn't something you do once. It's an ongoing practice that involves collecting, preparing, transforming, and delivering data." Snowpark Python presents a powerful new way to do data engineering. In this session, we'll focus building data engineering pipelines with Python. You'll see the end-to-end process of creating a robust data engineering pipeline using Snowpark Python stored procedures. That pipeline will process data incrementally, be orchestrated with Snowflake Tasks, and be deployed via a CI/CD pipeline. You'll also learn how to use Snowflake's new developer CLI tool and Visual Studio Code extension. (Repeat) This session will be recorded. | Jeremiah HansenSnowflakePrincipal Architect, |
https://events.snowflake.com/summit/sessions/agenda/session/1134892 | MD211: Data Autonomy in a Global Pharma CDP Platform by Bayer AG | 03/07/2025 10:00 AM | #REF! | (45 min) | Caesars Forum, Academy 416 | Modern Data Architectures|Breakout Session|Intermediate|Healthcare & Life Sciences|Data Engineer|IT / DBA|Customer 360|Marketing Analytics|Data Sharing & Collaboration | Bayer has set up a global commercial data platform in Snowflake by migrating 120 local data warehouses. This centralized platform enables access to data from all commercial markets Bayer operates in and builds a source for various BI, ML and Ad-hoc use cases.In addition to that globally managed platform users have the possibility to enrich global data in autonomy zones, which acts as a self-service area, where local files can be uploaded and joined together with global data. The roll-out of these autonomy zones is fully automated and those areas are more and more often used together with Snowpark. This session will be recorded. | Alina ZdrengheaBayerProduct Manager CommFrederik Dethlefsinitions GmbHBusiness Unit ManageJason SypniewskiBayer PharmaceuticalsDirector, Commercial |
https://events.snowflake.com/summit/sessions/agenda/session/1115900 | AD303: How Maxa's Automated ERP Insight Platform Evolved to Make Data Useful for Business and Code | 03/07/2025 10:00 AM | #REF! | (45 min) | Caesars Palace, Julius 16 | Application Development|Breakout Session|Advanced|All Industries|IT / DBA|Product Manager|Software Developer|Application Development|Powered by Snowflake|Snowflake Marketplace|Data Sharing & Collaboration | Maxa.ai has developed a self-service financial and operational data platform on Snowflake that provides all the necessary insights for operations and finance teams through the transformation of raw ERP data.During this session, you'll learn about the technological building blocks used by Maxa.ai - Python, SQL, and Dbt - and how Snowflake enables a flexible deployment model for their customers. You will discover how Maxa.ai began by building a managed app on Snowflake, and as their customer base grew, they developed a connected version of the app to meet customer needs, allowing their customers to use their own Snowflake accounts with Maxa.ai's platform. After learning about the Snowflake Native App Framework and recognizing the benefits it could bring to both them and their customers, they invested heavily into this deployment model and have already begun onboarding customers to this new method of application delivery. This session will be recorded. | Frédéric L'AnglaisMaxaDirector of ProductKevin McGinleySnowflakeTechnical Director, |
https://events.snowflake.com/summit/sessions/agenda/session/1115950 | DE201: How Aviva Accelerated Machine Learning Through Event-Driven Architecture | 03/07/2025 10:00 AM | #REF! | (20 min) | Caesars Forum, Industry Pavilion Theater South | Data Engineering|Theater Session|Intermediate|All Industries|Financial Services|Data Engineer|Data Engineering & Pipelines|AI/ML | Join this session to learn how Aviva used Snowflake to revolutionize a 328-year-old company and deliver a cutting-edge ESG insurance platform. You'll learn how they built on an event-driven architecture to accelerate advanced analytics and data science within their organization. | Niall ScottAvivaPrincipal Data EnginSarah PrestonAvivaLead Data Engineer |
https://events.snowflake.com/summit/sessions/agenda/session/1167434 | AA117: Powering Centene's Real-Time Enterprise Data Analytics with Upsolver | 03/07/2025 10:00 AM | #REF! | (20 min) | Caesars Forum, East Theater D | Accelerating Analytics|Theater Session|Introductory|Healthcare & Life Sciences | Centene is a leading healthcare enterprise that provides a full spectrum of managed healthcare products and services, primarily through Medicaid, Medicare, and commercial products. When Centene began to shift much of its on-premise infrastructure to the cloud, they chose the Snowflake Data Cloud. During their migration, they determined they were in need of an efficient and reliable way to continuously land large volumes of JSON events from Kafka in Snowflake. Centene turned to Upsolver and its data ingestion platform that solves data quality issues upon ingestion. Join this session to learn about Centene's data architecture, spanning on-premise and cloud systems, Centene's VPC-based Snowflake deployment, and how Centene on-boarded 50 users and built 100+ pipelines in 60 days. | Alexander AdamCenteneManager, Cloud PlatfSantona TuliUpsolverHead of Data |
https://events.snowflake.com/summit/sessions/agenda/session/1115882 | AA300: Unlocking Geospatial Analysis with Mapbox GEO | 03/07/2025 10:00 AM | #REF! | (45 min) | Caesars Forum, Academy 405 | Accelerating Analytics|Breakout Session|Advanced|All Industries|BI / Analyst|Business Executive|Data Engineer|Data Scientist|IT / DBA|Product Manager|Software Developer|Technical Executive|Application Development|BI / Analytics|Community|Cost Governance|IT Operations|Performance & Optimization | Geospatial data is more prevalent, inexpensive, and important than ever. Businesses in virtually every industry stand to benefit from geospatial analysis. But the process of validating and transforming geospatial data into a usable format is foreboding to most organizations. In this session, attendees will see three real-life examples that demonstrate how Snowflake users can validate, normalize, analyze, and visualize geospatial data in Snowflake and Streamlit with the help of Mapbox GEO, Mapbox's new Snowflake Native App. Mapbox will share the process and lessons learned from building a geospatial Snowlake Native App that brings high-quality geocoding (the conversion of addresses to geographic coordinates) to Snowflake. Attendees will also learn about Mapbox Boundaries, which enables Snowflake users to aggregate and visualize geospatial data. This session will be recorded. | Garrett MillerMapboxGM NavigationSean GraberMapboxHead of Search |
https://events.snowflake.com/summit/sessions/agenda/session/1116062 | ML207: Driving Value at Global Enterprise Scale with Snowflake, Kafka, and Feast | 03/07/2025 10:00 AM | #REF! | (20 min) | Caesars Forum, Data Heroes Theater | AI/ML|Theater Session|Intermediate|Healthcare & Life Sciences|Data Engineer|Data Scientist|Data Engineering & Pipelines|Modernize Pipelines|AI/ML | ResMed, a medical equipment company, needed to build a foundation supporting their rapidly growing machine learning footprint. This involved eliminating redundant feature pipelines, enhancing collaboration across a growing organization of data scientists while maintaining the highest level of governance, and accelerating time to production by eliminating separate infrastructure for batch and real-time data. ResMed decided to use Feast as the interface to discover and serve features and Snowflake as the governed platform to store and process features at scale. Join this session to learn how ResMed used Feast and Snowpark in Snowflake to flexibly implement feature definitions in SQL or Python, cost-efficiently scale the number of features in production, and serve features in batch or real time. This session will be recorded. | Ben TheyeResMed Inc.Director, Global DatNisha PatelResMed Inc.Manager, Global Data |
https://events.snowflake.com/summit/sessions/agenda/session/1138747 | DE107: Supercharging Your Data Transformations with Snowflake and Coalesce | 03/07/2025 10:00 AM | #REF! | (20 min) | Caesars Forum, East Theater C | Data Engineering|Theater Session|Introductory|All Industries|BI / Analyst|Data Engineer|Data Engineering & Pipelines|Modernize Pipelines|Performance & Optimization | Learn how to transform your data in Snowflake like never before. Join Doug Barrett, Principal Solutions Architect at Coalesce, and Michael Tantrum, National Sales Director at Resultant, as they unveil the latest in data transformation technology and demonstrate how automation and next-generation architecture enables data teams to easily build, manage, and execute complex data pipelines of any size. | Doug BarrettCoalescePrincipal Solutions Michael TantrumResultantNational Sales Direc |
https://events.snowflake.com/summit/sessions/agenda/session/1115932 | CY200: Best Practices for Compliance Automation: How Data and Cyber Teams Can Supercharge Success | 03/07/2025 10:00 AM | #REF! | (45 min) | Caesars Palace, Julius 23 | Cybersecurity|Breakout Session|Intermediate|All Industries|Public Sector|BI / Analyst|Business Executive|Data Engineer|Security Practitioner|Technical Executive|BI / Analytics|Cybersecurity|Data Engineering & Pipelines|Data Lakes|Data Mesh|Powered by Snowflake|Data Sharing & Collaboration|Governance & Compliance | As technology advances and cybersecurity grows in importance, compliance requirements continue to increase. In order to evolve the security compliance profession, we need a new way of performing compliance activities through automation. However, the path to compliance automation is challenging and time consuming. So where do you begin? During this session, we will discuss the required steps to build the data foundation for continuous monitoring, the challenges security compliance professionals face on their path to success, and tangible best practices forward-thinking compliance and teams can leverage as they build out their continuous monitoring program in today's ever-evolving cyber risk landscape. This session will be recorded. | John VollesAuditBoardDirector, InformatioRichard MarcusAuditBoardVice President of In |
https://events.snowflake.com/summit/sessions/agenda/session/1140846 | MD115: Deloitte's Migration Factory - Let's take you from what's now to what's next | 03/07/2025 10:00 AM | #REF! | (20 min) | Caesars Forum, West Theater A | Modern Data Architectures|Theater Session|All Industries | Organizations struggling with expensive legacy on-premises data and analytics ecosystems, siloed data, and disjointed technology strategies need to move to a modern platform. Getting there can be daunting, and a troubled initiative can disrupt the enterprise. Deloitte’s Migration Factory offering with Snowflake is your end-to-end solution for mitigating risk in data migration while expediting your move to a future-state platform. | Rupesh DandekarDeloitte Consulting LLPSnowflake Chief Tech |
https://events.snowflake.com/summit/sessions/agenda/session/1151435 | AA004B: Growing Old Together: From Adolescence to Maturity with Snowflake + Alteryx (Repeat) | 03/07/2025 10:00 AM | #REF! | (45 min) | Caesars Palace, Pompeian 1 | Accelerating Analytics|Breakout Session|Non-Technical|Financial Services|BI / Analytics|Data Engineering & Pipelines|Modernize Pipelines|Performance & Optimization | How do you build a data architecture that can grow with you? CUNA Mutual Group did it with Alteryx and Snowflake. In this session, CUNA Mutual Group will take you on their analytical journey over the past 7+ years and illustrate key change driver milestones, from eliminating legacy silos to expanding data science use cases. Learn how you can combine Snowflake with Alteryx to establish a unified stack that’s both scalable and self-service, growing with the business as you take on advanced analytical challenges. (Repeat)This session will be recorded. | Håkan SöderbomAlteryx, Inc.Sr. Director, TechnoSteve KonkolTruStageData, Analytics & Re |
https://events.snowflake.com/summit/sessions/agenda/session/1159789 | IN212: A New Tomorrow: Accelerating Your Digital Journey with Calibo | 03/07/2025 10:00 AM | #REF! | (25 min) | Caesars Forum, Industry Pavilion Theater North | Industry Impact|Theater Session|Intermediate|All Industries|Business Executive|IT Operations | Every enterprise wants "Faster Time to Market" with speed, agility as the cornerstone of digital journey. But the challenges associated with the people, process and technology aspects are growing multi-fold, putting enterprises at risk in realising effective business outcomes. The fast changing technology landscape, growing complexity, and innovations in the technology space have made everyone to think about simplifying the technology experience to achieve the desired business goals. But successful digital-first companies have found the success mantra already. Scott Sandschafer, CEO of Calibo, will be sharing his experiences and perspectives on best practices and innovations to help customers navigate through these challenges and become digital champions. Join us to learn about the latest trends and future of software development, self-service approach leveraging Integrated digital & data platforms. | Scott SandschaferCaliboChief Executive Offi |
https://events.snowflake.com/summit/sessions/agenda/session/1115886 | AD001: How the Snowflake Native App Framework Helps DTCC Run Hypothetical Market Scenarios | 03/07/2025 10:00 AM | #REF! | (45 min) | Caesars Palace, Neopolitan 3 | Application Development|Breakout Session|Non-Technical|Financial Services|Application Development|Snowflake Marketplace|Data Sharing & Collaboration | Each year, DTCC processes quadrillions of dollars in transactions. As part of their commitment to clients and the financial services industry, DTCC builds both "actual" and "hypothetical" portfolios that their analysts and clients can leverage to model and predict scenarios to be prepared to navigate market events. Clients are DTCC's top priority. Their goal is to spend more time on value-added services and less on platform management. The Snowflake Native App Framework allows DTCC to leverage compute capabilities directly where the data already lives within the end-customer's Snowflake account, and Streamlit allows them to build a rich UX for consumers to interact with. During this session, DTCC will discuss their journey building their Snowflake Native App. This session will be recorded. | Christopher WalshDTCCExecutive DirectorTim JonesSnowflakeDirector-Apps and Po |
https://events.snowflake.com/summit/sessions/agenda/session/1140456 | DE219: Maximizing Your Snowflake Investment with Collibra Data Quality & Observability | 03/07/2025 10:30 AM | #REF! | (20 min) | Caesars Forum, East Theater D | Data Engineering|Theater Session|Intermediate|All Industries|Data Engineer|IT / DBA|Data Engineering & Pipelines|Data Lakes|Maximize Economic Value|Performance & Optimization | In this session, we will explore how Collibra Data Quality & Observability can assist in measuring, monitoring, and enhancing the quality of data in Snowflake using both automated and manual controls. Collibra's data observability capabilities provide a comprehensive understanding of the data, identifying potential issues and enabling corrective action before they escalate. The session will include a live demonstration showcasing the use of SQL pushdown-based native integration with Snowflake for efficient data processing and auto-scaling, the discovery of behavioral patterns, outliers, and missing values in Snowflake data, and assessing data quality without the need to export or transfer data outside of Snowflake. | Nita DemblaCollibraDirector, Software E |
https://events.snowflake.com/summit/sessions/agenda/session/1148214 | WN205B: What's New: Application Development (Repeat) | 03/07/2025 10:30 AM | #REF! | (45 min) | Caesars Palace, Augustus 1 | What's New|Breakout Session|Intermediate|All Industries|Business Executive|DevOps|Product Manager|Software Developer|Technical Executive|Application Development|Monetization|Performance & Optimization|Powered by Snowflake|Snowflake Marketplace|DevOps | We've entered a new era of application development. Instead of bringing data to applications, developers are bringing their applications to the data. Join this session to learn about the latest enhancements to help you build, operate, scale, and distribute your applications in the Data Cloud. You'll hear best practices from builders who are leveraging different deployment models on Snowflake and learn from Snowflake product leaders about how you can build high-performance and differentiated applications with Snowflake's latest features. (Repeat) This session will be recorded. | Chris ChildSnowflakeSenior Director, Pro |
https://events.snowflake.com/summit/sessions/agenda/session/1148219 | WN200B: What's New: App Development with Streamlit (Repeat) | 03/07/2025 10:30 AM | #REF! | (45 min) | Caesars Palace, Augustus 3 | What's New|Breakout Session|Intermediate|All Industries|Data Engineer|Data Scientist|DevOps|Product Manager|Software Developer|Application Development|Data Engineering & Pipelines|DevOps|AI/ML | Join us to learn more about the latest enhancements to Snowflake's integration with Streamlit and how you can start quickly building apps using Python. (Repeat) This session will be recorded. | Aileen LuSnowflake IncProduct ManagerAmanda KellySnowflakeDirector of Product |
https://events.snowflake.com/summit/sessions/agenda/session/1138756 | AA106: Democratization of Insights: Accelerate Value with BlueCloud | 03/07/2025 10:30 AM | #REF! | (20 min) | Caesars Forum, West Theater B | Accelerating Analytics|Theater Session|Introductory|All Industries|Business Executive|Data Engineer|Data Scientist|Product Manager|Technical Executive|BI / Analytics|Cost Governance|Data Engineering & Pipelines|Maximize Economic Value|Monetization|Performance & Optimization|AI/ML | BlueCloud's flexible delivery model and joint investment in customer delivery, coupled with the ongoing expansion of solution accelerators across multiple workloads, allows our customers to see immediate value in the delivery of each use case. As an Elite Snowflake Services Partner, BlueCloud's team will share how you can accelerate your path to value with extensive experience spanning analytics, security, migration, usage optimization, data engineering, data science and machine learning. Hear from our Director, Solution Architecture and Chief Revenue Officer, on how many of our customers are realizing and measuring value through our premium, yet cost-effective delivery and accelerators. We are very pleased to review our newest initiatives from the BlueCloud Innovation center including: Spark to Snowflake Migration Accelerator, the Snowflake Value Calculator, ChatGPT integration with Snowflake, and Snowflake Industry Solutions. We look forward to our continued expansion with Snowflake. | Bill TennantBlueCloudChief Revenue OfficeJohn ThumaBlueCloudDirector, Solution A |
https://events.snowflake.com/summit/sessions/agenda/session/1115966 | DE303: See How Northern Trust Builds Dynamic Data Pipelines | 03/07/2025 10:30 AM | #REF! | (45 min) | Caesars Palace, Neopolitan 1 | Data Engineering|Breakout Session|Advanced|All Industries|Financial Services|Data Engineer|Data Engineering & Pipelines|Modernize Pipelines | While there are many ETL/ELT tools for building data pipelines, using all Snowflake features eliminates dependence on external tools and provides metadata within Snowflake for creating dynamic data pipelines. However, this requires creating a custom framework using different features of Snowflake. In this session, we'll learn about how to use the following features of Snowflake for building a dynamic data pipeline: Streams, Tasks, SQL (Session) Variables, Information Schema, and Javascript Stored Procedure. After building a simple data pipeline, you'll learn about other features you can add to the dynamic data pipeline like logging, error handling, and email notifications. This session will be recorded. | Pramod GuptaNorthern TrustDirector Software En |
https://events.snowflake.com/summit/sessions/agenda/session/1116063 | ML209: Why Snowflake Should Be Your Platform for Feature Engineering and Feature Stores | 03/07/2025 10:30 AM | #REF! | (45 min) | Caesars Forum, Academy 410 | AI/ML|Breakout Session|Intermediate|All Industries|Data Engineer|Data Scientist|Data Engineering & Pipelines|Modernize Pipelines|AI/ML | A big part of data science and machine learning workflows is data pre-processing and transformation for creating useful features that serve as inputs for ML models. Once useful features are defined and computed, they need to be kept up to date with new data and used consistently with a single source of truth across all use cases and across teams. In this session, we will show how Snowflake provides powerful functionality for supporting large-scale feature engineering through new capabilities for data transformation in Snowpark, and management of these features via feature store infrastructure linked to an end-to-end machine learning operations solution. This helps you bring feature engineering to where your data is, reducing need for unnecessary data movement and taking advantage of Snowflake's scalability, security, and governance. This session will be recorded. | Sandeep GuptaSnowflakeSenior Product ManagSimon FieldSnowflakeTechnical Director, |
https://events.snowflake.com/summit/sessions/agenda/session/1140449 | MA302: Composable CDP: Can data teams move away from being cost centers? | 03/07/2025 10:30 AM | #REF! | (45 min) | Caesars Palace, Julius 5 | Marketing Analytics|Breakout Session|Advanced|Technology|Business Executive|Data Engineer|Technical Executive|Marketing Analytics|Data Sharing & Collaboration | Data teams have long been seen as cost centers within organizations, which can make it difficult for data teams to be viewed as revenue-generating departments or profit centers. Traditional data warehouses and data tools can be expensive and inflexible, making it difficult for data teams to respond quickly to changing business needs. With the emergence of composable Customer Data Platforms, data teams can make the most of their existing infrastructure and work more collaboratively with other teams. By leveraging modular, reusable components and flexible data integration, they can re-use their existing data architecture and easily adapt to changing business needs. This allows them to drive business impact with their data investments and provide more value to marketing, sales, CS, and finance teams. As the saying goes, "nobody wants your dashboards. They want your data." With composable CDPs, data teams can provide valuable data to marketing teams in a more agile and responsive way. During this panel discussion, our experts will share their insights and experiences on how data teams can leverage composable CDPs to enable better collaboration between data engineers and Go-to-Market teams, and add more value to the business. This session will be recorded. | Boris JabesCensusCEO & Co-FounderMichelle BallenFutureHead of AnalyticsPeter RogersMerkleEVP, Head of Technol |
https://events.snowflake.com/summit/sessions/agenda/session/1155356 | AA115: Maximize Snowflake Effectiveness and Efficiency with Tableau | 03/07/2025 10:30 AM | #REF! | (25 min) | Caesars Forum, Industry Pavilion Theater South | Accelerating Analytics|Theater Session|Introductory | No matter where you are in your own Snowflake journey, you’re likely invested in a number of initiatives—things like managing costs, optimizing performance, mitigating risk, and ensuring adoption. To address these, Tableau has designed a number of dashboards in partnership with Snowflake to monitor compute costs & performance, measure user adoption, and keep track of errors. Join us in this session to learn how you can use Tableau’s out-of-the-box solution to maximize your Snowflake investment | |
https://events.snowflake.com/summit/sessions/agenda/session/1115972 | DE309: Real-Time CDC Ingestion & Transformation with Snowpipe Streaming & Dynamic Tables | 03/07/2025 10:30 AM | #REF! | (20 min) | Caesars Forum, Data Heroes Theater | Data Engineering|Theater Session|Advanced|All Industries|Data Engineer|DevOps|Data Engineering & Pipelines|Modernize Pipelines | Join this session to see a demonstration of Snowpipe Streaming and Dynamic Tables working together to address a very common use case, ingesting CDC events from source databases/applications and representing that data in Snowflake in multiple forms (current replica of the source tables, aggregation and summary tables, and full historical view of all table transactions using slowly changing dimensions). These two new features bring highly scalable, near real-time streaming ingestion and single-row insert capabilities to Snowflake-plus a new level of simplicity to merge and transform all those events into consumable data sets with minimal latency, greatly reducing files and micro-batch approach. Over 50K events/second throughput from a laptop, at-source tokenization and AES encryption, and more. This session will be recorded. | Steven MaserSnowflakeSenior Sales Enginee |
https://events.snowflake.com/summit/sessions/agenda/session/1150360 | DE221: Streaming in Snowflake: Pragmatically Pushing Forward the State of the Art | 03/07/2025 10:30 AM | #REF! | (45 min) | Caesars Forum, Alliance 304 | Data Engineering|Breakout Session|Intermediate|All Industries|Data Engineer|Data Engineering & Pipelines|Modernize Pipelines | What do you get when you build state-of-the-art stream processing primitives into the Data Cloud from the ground up? The simplest, most powerful streaming solution ever created. In this talk, I’ll discuss our vision for streaming in Snowflake, how we aim to conquer the biggest open challenges (like the ease of use and balancing cost vs latency), what the first pieces of that vision look like today, and what more to expect in the near future.This session is recorded. | |
https://events.snowflake.com/summit/sessions/agenda/session/1148216 | WN101B: What's New: Unstructured Data with Snowflake (Repeat) | 03/07/2025 10:30 AM | #REF! | (45 min) | Caesars Palace, Augustus 5 | What's New|Breakout Session|Introductory|All Industries|Data Engineer|Data Scientist|IT / DBA|Software Developer|Technical Executive|Application Development|Data Engineering & Pipelines|Data Lakes|Data Mesh|Migrations|Modernize Pipelines|Generative AI & LLM|AI/ML | Join us to learn about the latest Snowflake innovations and automations to help you understand and work with unstructured data at scale. (Repeat) This session will be recorded. | Bhanu PrakashSnowflakeSenior Product ManagSaurin ShahSnowflakeSr. Product manager |
https://events.snowflake.com/summit/sessions/agenda/session/1138726 | AD104: Unravel Carbon helps businesses measure, track, and reduce emissions using Snowflake | 03/07/2025 10:30 AM | #REF! | (45 min) | Caesars Forum, Academy 418 | Application Development|Breakout Session|Introductory|All Industries|Business Executive|Product Manager|Software Developer|Application Development | In this session, we will give an overview of how Unravel Carbon uses Snowflake to power its carbon engine, which helps companies measure, track, and reduce their emissions. We will explain how we used Snowflake to redesign our carbon database to power our SaaS platform and to centralize and democratize data access across the company. We will also cover how we leveraged Snowflake to comply with the Greenhouse Gas (GHG) Protocol accounting and reporting principles. This session will be recorded. | Kevin TengUnravel CarbonHead of Engineering |
https://events.snowflake.com/summit/sessions/agenda/session/1115987 | IN014: Single Source: Centralizing Data from Multiple Entities in Snowflake | 03/07/2025 10:30 AM | #REF! | (20 min) | Caesars Forum, Industry Pavilion Theater North | Industry Impact|Theater Session|Non-Technical|Healthcare & Life Sciences|Retail / CPG|BI / Analyst|Business Executive|Data Engineer|Data Scientist|DevOps|IT / DBA|Product Manager|Security Practitioner|Software Developer|Technical Executive|Application Development|BI / Analytics|Community|Cost Governance|Customer 360|Cybersecurity|Data Engineering & Pipelines|Data Lakes|Data Mesh|IT Operations|Marketing Analytics|Maximize Economic Value|Migrations|Modernize Pipelines|Monetization|Performance & Optimization|Powered by Snowflake|Snowflake Marketplace|Snowgrid|Supply Chain|Unistore|Data Sharing & Collaboration|DevOps|Governance & Compliance|AI/ML | In this session, we will present a successful case of using Snowflake as the centralized warehouse for our core business data. The need was born out of a merger of several different entities. The data was needed for many purposes: B2B2C marketing, patient experience, clinic performance benchmarking, and financial reports. We also used Snowflake Data Sharing and row-level access control to output the transformed data for our downstream clinic groups' transactional uses. We solved the multiple entity problem by using three Snowflake accounts, using dbt as the transformation tool and using Looker for visualizations. We worked closely with Snowflake support on our query optimization project, which resulted in a 30% reduction in our warehouse costs. We hope this case study serves as a good example and framework for organizations looking to unlock the potential of their data. | Jared ScarbroughVetsource, Inc.VP, Integration & AnWill WoodBrooklyn DataDirector of Data & A |
https://events.snowflake.com/summit/sessions/agenda/session/1138771 | DE111: Transforming the Ticketing Industry at AXS with Snowflake and dbt Cloud | 03/07/2025 10:30 AM | #REF! | (45 min) | Caesars Forum, Academy 404 | Data Engineering|Breakout Session|Introductory|Media / Entertainment / Advertising|BI / Analyst|Data Engineer|IT / DBA|Data Engineering & Pipelines|Modernize Pipelines|Performance & Optimization | What does "good data" mean — and why does it matter — to a company that manages ticketing for the NBA, NHL, NCAA, and Coachella? Join this session to hear why AXS, a leading global provider of sports and entertainment events, migrated to Snowflake and dbt Cloud. Learn what good data looks like to a company that processes 65+ million ticket transactions a year — and how a modernized data infrastructure helps them drive better in-venue experiences worldwide. This session will be recorded. | Michael ColellaAXSSenior Director, Dat |
https://events.snowflake.com/summit/sessions/agenda/session/1155363 | ML228: Running Open-Source LLMs on Snowflake | 03/07/2025 10:30 AM | #REF! | (20 min) | Caesars Forum, West Theater A | AI/ML|Theater Session|Intermediate|All Industries|Data Engineer|Data Scientist|Generative AI & LLM|AI/ML | Large Language Models (LLMs) and Generative AI show huge promise to make end users more productive, and to make enterprise data so much more valuable. Recently, open source LLMs have caught a lot of attention for their high quality results and compelling cost profile, especially when fine-tuned over proprietary data. In this session, we will demonstrate how you can install an off-the-shelf OSS model downloaded from the internet and run it on Snowflake. We will show you how you can use the LLM for common use cases like calling completion APIs, prompt engineering, context injection and also fine-tuning to optimize result quality of the LLM for your own data in Snowflake or from the Snowflake Marketplace. The session will also outline the data governance and privacy benefits of running LLMs within the security perimeter of your organization in Snowflake. | Caleb BaechtoldSnowflakeML/AI Field CTO |
https://events.snowflake.com/summit/sessions/agenda/session/1115870 | AA202: Digital Transformation Featuring Snowflake and Streamlit in the Medical Device Industry | 03/07/2025 10:30 AM | #REF! | (20 min) | Caesars Forum, East Theater C | Accelerating Analytics|Theater Session|Intermediate|All Industries|Healthcare & Life Sciences|BI / Analyst|Business Executive|Data Engineer|Data Scientist|IT / DBA|Technical Executive|Application Development|Customer 360|Data Engineering & Pipelines|AI/ML | Medtronic Diabetes focuses on transforming diabetes care for patients to improve outcomes and simplify diabetes management. Data platforms help with these goals by using large amounts of real-world patient device data (from continuous glucose monitors, insulin pumps etc.) to generate meaningful insights for patients and partners. In this session, the Principal AI/Data Science Engineer at Medtronic Diabetes will talk through how the team has used a Snowflake backend and Streamlit frontend to build powerful data and machine learning platforms that enable data exploration, experimentation, and automate insight generation. They'll also cover data-driven applications developed as a result of these data platforms with specific digital transformation use cases within the business. | Jasmine PlowsMedtronic DiabetesPrincipal A.I./Data |
https://events.snowflake.com/summit/sessions/agenda/session/1116057 | ML202: Snowpark Powering Data for Good Agenda at EDF Energy | 03/07/2025 10:30 AM | #REF! | (45 min) | Caesars Palace, Julius 13 | AI/ML|Breakout Session|Intermediate|Manufacturing|Data Scientist|Data Lakes|Performance & Optimization|AI/ML | Over the past year, EDF's data teams have completely transformed the data landscape for the organization by migrating all data sources into a single Snowflake data lake and building a new machine learning operations platform centered around Snowpark for Python. These changes led to a significant improvement in data access and increased efficiency for the data science team with a projected 4x uplift in data products for 2023. In this talk, EDF will share how the data lake migration to Snowflake and Snowpark for Python helped the team build a complete MLOps solution in just two months and how the platform enabled EDF to quickly deliver a brand-new demand flexibility service. By using Snowflake, EDF helped its customers save energy and helped the UK avoid blackouts during winter of 2022. This session will be recorded. | Alex ReadEDFSenior Manager of Da |
https://events.snowflake.com/summit/sessions/agenda/session/1115871 | AA203: Orange County Court's Analytics Blueprint: The Future of Judicial Systems | 03/07/2025 10:30 AM | #REF! | (45 min) | Caesars Palace, Julius 19 | Accelerating Analytics|Breakout Session|Intermediate|All Industries|Public Sector|BI / Analyst|Business Executive|Data Engineer|Data Scientist|Technical Executive|BI / Analytics|Data Sharing & Collaboration|AI/ML | Orange County Superior Court System (OCC) is the largest trial court system in the United States. It operates multiple courts for matters in criminal, traffic, civil, probate, juvenile, family law, and mental health cases. Their goal was to enable data-driven decision-making to create efficiency and streamline court operational processes. OCC's analytics program, known as the Court Analytics Virtual Environment (CAVE), combines data from multiple case management sources and enables a user-friendly data portal for ease of access and scalability. Join this session to learn more about the OCC's data analytics program, and how they scaled it globally as a blueprint for all court systems to leverage to support the future of judicial systems. This session will be recorded. | Darren DangOrange County Superior CourtsChief Financial and David YamasakiOrange County Superior CourtsCEO |
https://events.snowflake.com/summit/sessions/agenda/session/1116093 | OS304: Learn How to Optimize Your Snowflake Investment Through Workload Management | 03/07/2025 10:30 AM | #REF! | (45 min) | Caesars Forum, Academy 415 | Operating & Optimizing Snowflake|Breakout Session|Advanced|All Industries|Business Executive|Technical Executive|Cost Governance|Maximize Economic Value|Performance & Optimization | This workload management session helps you close the knowledge gap on Snowflake's workload management capabilities compared to those of legacy systems. Many customers do not understand that Snowflake has workload management concepts like other legacy data warehouse products. This session helps the customer understand Snowflake workload management concepts, how to analyze workload profiles, and how to improve warehouse utilization through proper sizing and scaling. This session will be recorded. | Scott ReddingSnowflakeSenior Solution ArchWalter AlexanderSnowflakeSenior Solutions Arc |
https://events.snowflake.com/summit/sessions/agenda/session/1115959 | DE209A: Building Pipelines with Dynamic Tables | 03/07/2025 11:00 AM | #REF! | (20 min) | Caesars Forum, Data Heroes Theater | Data Engineering|Theater Session|Intermediate|All Industries|Data Engineer|DevOps|Data Engineering & Pipelines|Modernize Pipelines|DevOps | With Dynamic Tables, Snowflake simplifies the creation and maintenance of data pipelines. Gone are the days when users had to manually consolidate their data. But how do you use Dynamic Tables exactly? What are the design decisions? How do you deal with errors and performance regressions? In this session, you'll learn how to set up a full data pipeline. We'll navigate common issues using the many metric sources that come with Dynamic Tables. Where necessary, we'll change our setup on the fly to ensure our business requirements are met and explain the effect of the target lag parameter, the difference between full and incremental refreshes, and the reasons for skipped refresh. After attending the talk, you will be able to start your own pipeline consisting of multiple connected Dynamic Tables and be familiar with the basic tools to monitor and adapt your pipeline. This session will be recorded. | Daniel MillsSnowflakeSenior Software EngiNikhil ShahSnowflakeSr.Manager Engineeri |
https://events.snowflake.com/summit/sessions/agenda/session/1115979 | IN006: How Snowflake Enables Agility for Enterprise Data at Novartis | 03/07/2025 11:00 AM | #REF! | (20 min) | Caesars Forum, Industry Pavilion Theater South | Industry Impact|Theater Session|Non-Technical|Healthcare & Life Sciences|Public Sector|BI / Analyst|Business Executive|Data Engineer|Data Scientist|DevOps|IT / DBA|Product Manager|Software Developer|Technical Executive|Application Development|BI / Analytics|Cost Governance|Data Engineering & Pipelines|Data Lakes|Data Mesh|IT Operations|Maximize Economic Value|Migrations|Modernize Pipelines|Performance & Optimization|Snowflake Marketplace|Snowgrid|Data Sharing & Collaboration|DevOps|Governance & Compliance|AI/ML | In a new economy where cost efficiency is a top priority, Snowflake has unlocked tremendous value for Novartis. Hear from Ashish Sharma, VP of Data Products at Novartis, as he discusses new and emerging technologies for the enterprise and how a cloud-agnostic mindset will unlock opportunities for business and IT leaders in life sciences. Organizations should not utilize technologies that require them to be locked into a single, rigid cloud service provider, and Ashish will share his best practices and lessons learned on this topic. | Ravi ShankarNovartisExecutive Director - |
https://events.snowflake.com/summit/sessions/agenda/session/1151412 | AA220: How Air Canada Improved Customer Loyalty Insights Using Dataiku's Self-Serve Business Capabilities | 03/07/2025 11:00 AM | #REF! | (45 min) | Caesars Palace, Pompeian 1 | Accelerating Analytics|Breakout Session|Intermediate|All Industries|Technical Executive|Marketing Analytics | Air Canada is putting the traveler in the hands of the business. In this session, you will learn how the Customer & Loyalty Analytics team built self-serve advanced analytics applications for business teams and created a virtuous circle by freeing up data scientists to drive higher value work that continuously enriches the self-serve applications outputs. With these applications, business teams can better understand customer and member needs and preferences for a superior customer experience, ultimately increasing customer satisfaction and loyalty. From customer segmentation and recommendation engines to incremental lift methodologies, learn how Air Canada embarked on an analytics journey with Dataiku and Snowflake that provides rich insights quickly and easily. | Luc GagnonAir CanadaDirector – AnalyticsSophie DionnetDataikuGM, Dataiku Business |
https://events.snowflake.com/summit/sessions/agenda/session/1151427 | AA221: Build a Scalable, Modern Architecture to Unleash the Power of Snowflake | 03/07/2025 11:00 AM | #REF! | (20 min) | Caesars Forum, East Theater C | Accelerating Analytics|Theater Session|Intermediate|Media / Entertainment / Advertising|Business Executive|IT / DBA|Technical Executive|BI / Analytics|Customer 360|Data Engineering & Pipelines|IT Operations|Maximize Economic Value|Performance & Optimization|Governance & Compliance | To increase the business value derived from data, you first need to understand the business outcomes you are trying to achieve. Many forward-thinking executives are initiating programs across their organizations to modernize enterprise data platforms. This helps to break down the fragmented, siloed sources of data within an organization to enable access to new insights throughout all areas of your enterprise. Collaborating with business partners allows you to serve a multitude of insights to different stakeholders and build a highly scalable and extensible architecture. Join this session to hear how Edwards Lifesciences and KPMG LLP have worked together to implement Snowflake to deliver far-reaching user experiences and unlock valuable insights. | Anand SekharKPMG LLPPrincipal |
https://events.snowflake.com/summit/sessions/agenda/session/1163646 | MD206B: Architecture Patterns with Snowflake (Repeat) | 03/07/2025 11:00 AM | #REF! | (45 min) | Caesars Forum, Alliance 305 | Modern Data Architectures|Breakout Session|Intermediate|All Industries|Data Engineer|IT / DBA|Technical Executive|Application Development|Data Engineering & Pipelines|Data Lakes|Data Mesh|AI/ML | Beyond traditional data warehousing, Snowflake's platform can be used for a variety of architecture patterns. Join this session to learn about the benefits of Snowflake for patterns including applications, streaming, machine learning and data science, and data lake. (Repeat)This session will be recorded. | Varun KhandelwalSnowflakeSenior Sales Enginee |
https://events.snowflake.com/summit/sessions/agenda/session/1140437 | MD213: How to Speak the Language of Data at the Intersection of Analytics, Governance and Security | 03/07/2025 11:00 AM | #REF! | (20 min) | Caesars Forum, West Theater B | Modern Data Architectures|Theater Session|Intermediate|All Industries|BI / Analyst|Business Executive|Data Engineer|Data Scientist|IT / DBA|Security Practitioner|Technical Executive|Cybersecurity|Maximize Economic Value|Migrations|Performance & Optimization|Governance & Compliance | Data teams and Security teams have long appeared to be on opposite sides of the data fence: Data teams want real-time unfettered access to data while Data Security teams need real-time, granular access controls. In other words, if a CDO and CISO walk into a bar, what happens next? If they both want the company to be successful, they’ll have to find a way to talk to each other, work together and collaborate to deliver on seemingly conflicting goals. Attend this session to learn how data analytics, governance and security teams can learn to speak the same language to deliver the maximum value from data. ALTR CEO & Founder James Beecham and Laura Malins, VP of Product, Matillion will explain the newly emerging data literacy, how real-time access and real-time security are necessary for cloud data migrations, the best way to streamline pipeline security integration, and finally demo ALTR’s tokenization and associated data policy applied directly in Matillion. | James BeechamALTRCEO and FounderLaura MalinsMatillionVP of Product |
https://events.snowflake.com/summit/sessions/agenda/session/1115883 | AA301: Optimizing Snowflake Query Performance | 03/07/2025 11:00 AM | #REF! | (45 min) | Caesars Forum, Academy 411 | Accelerating Analytics|Breakout Session|Advanced|All Industries|BI / Analyst|IT / DBA|Technical Executive|BI / Analytics|Cost Governance|Cybersecurity|Maximize Economic Value|Performance & Optimization | Are you using Auto Clustering, Materialized View, Search Optimization Service, and Query Accelerated Service to their full potential? Are you wondering what is the best combination of Snowflake performance features to boost workload performance? This workshop shares a comprehensive overview of Snowflake query performance features, including Auto Clustering, Materialized View, Search Optimization Service, and Query Accelerated Service, and covers topics such as the use cases for each of those features, best practices, tips, and considerations. This workshop will provide actionable insights and practical tips to help you improve your Snowflake query performance. Join this session to get a deeper understanding of the fundamentals of these Snowflake performance features and learn how they can optimize query performance for different scenarios. This session will be recorded. | Minzhen YangSnowflakePrincipal Engineer &Tim SanderSnowflakeProduct Manager |
https://events.snowflake.com/summit/sessions/agenda/session/1115923 | CO304: A Deep Dive into What's New: Global Data Clean Rooms | 03/07/2025 11:00 AM | #REF! | (45 min) | Caesars Forum, Academy 405 | Collaboration|Breakout Session|Advanced|All Industries|BI / Analyst|Data Engineer|Data Scientist|Product Manager|Security Practitioner|Software Developer|Technical Executive|Application Development|Data Sharing & Collaboration|Governance & Compliance | Global Data Clean Rooms continue to advance the state of the art in privacy-preserving collaboration. Leading media, advertising, and marketing firms now rely on this approach to securely share their most sensitive data assets without exposing the underlying data. Join our product leaders to learn what's new, including how user interfaces enable wider audiences to get value from clean rooms and how projection and aggregation constraints further protect sensitive data. The session will then explore how to ensure data providers can understand exactly what is happening with their data. A multi-party use case walkthrough will come next, describing what happens when more than two parties need to collaborate. Finally, the team will demonstrate using Snowpark in a Data Clean Room setting. If you have a need to share sensitive data, either internally or with partners, this is for you. This session will be recorded. | Gary McCoySnowflakePrincipal Product Ma |
https://events.snowflake.com/summit/sessions/agenda/session/1115937 | CY205: Snowflake on Snowflake: A Streamlit App for Addressing Cyber Data Hygiene | 03/07/2025 11:00 AM | #REF! | (45 min) | Caesars Palace, Neopolitan 3 | Cybersecurity|Breakout Session|Intermediate|All Industries|Financial Services|Healthcare & Life Sciences|Manufacturing|Media / Entertainment / Advertising|Public Sector|Technology|Telecom|BI / Analyst|Data Engineer|Data Scientist|DevOps|IT / DBA|Product Manager|Security Practitioner|Software Developer|Technical Executive|Application Development|Cybersecurity|Data Engineering & Pipelines|Data Lakes|Data Sharing & Collaboration|AI/ML | Data quality is a silent killer and, like cancer, unless detected and addressed at an early stage, it will grow until it results in fatal outcomes. Cybersecurity professionals need to shift from their obsession with just ingesting volumes of data to focus on the quality of data they are gathering. But how does one define data quality? And how does one handle a lack of data quality which could result in a breach? To understand, specify, monitor, and handle data-quality issues, Snowflake's security and data science teams are leveraging Streamlit, Snowpark, and other Snowflake features to create a no-code, no-expertise-required solution. This session will highlight how Snowflake's security organization leverages data science techniques that effortlessly dovetail with Snowflake's features to present a novel approach to handling data quality at large volumes. This session will be recorded. | Ameya SanzgiriSnowflake, Inc.Senior Security DataCameron TekiyehSnowflake, Inc.Manager, Security An |
https://events.snowflake.com/summit/sessions/agenda/session/1115975 | IN002: Modernizing Government Data Analytics Architecture with Deloitte and Snowflake | 03/07/2025 11:00 AM | #REF! | (45 min) | Caesars Palace, Julius 16 | Industry Impact|Breakout Session|Non-Technical|Healthcare & Life Sciences|Public Sector|BI / Analyst|Business Executive|Data Engineer|Data Scientist|DevOps|IT / DBA|Product Manager|Technical Executive|BI / Analytics|IT Operations|Migrations|Data Sharing & Collaboration|Governance & Compliance | The mission of the California Healthcare Eligibility, Enrollment, and Retention System (CalHEERS) Analytics Platform is to provide data for operations, analytics, and evaluation of CoveredCA.com, the online application engine for the largest state-run health insurance marketplace, Covered California. By 2020, an on-premises legacy system was struggling to keep up with massive data growth, variable data volumes, and a lack of advanced analytics capabilities, limiting Covered California's ability to use data to improve consumer experiences. Seeking a technology refresh, the marketplace turned to Deloitte to help modernize the CalHEERS Analytics Platform by leveraging the Snowflake Data Cloud. In this session, hear from CalHEERS about their data modernization journey and how this solution helps increase California residents' access to affordable healthcare coverage. This session will be recorded. | Deven DharmDeloitteManaging DirectorIsaac MenasheCovered CaliforniaDeputy Director, Eva |
https://events.snowflake.com/summit/sessions/agenda/session/1116034 | AA003: Value Through Analytics: Transformational Change Versus Continuous Improvement | 03/07/2025 11:00 AM | #REF! | (45 min) | Caesars Palace, Julius 23 | Accelerating Analytics|Breakout Session|Non-Technical|All Industries|Retail / CPG|BI / Analyst|Business Executive|Technical Executive|Data Mesh | Anko was struggling with analytics updates and satisfaction of reports. By setting up a hub-and-spoke data mesh, Anko has been able to onboard over 500 employees directly onto Snowflake so that they can carry out self-service. Business users are able to use almost every Snowflake capability. This has led to more high-value use cases being delivered. In this session, Anko shares the benefits from their organizational, technical, and business journey. This session will be recorded. | Fintan McLoughlinKmart Australia LimitedHead of Analytics - Somsubhra SikdarAnkoHead of Data Science |
https://events.snowflake.com/summit/sessions/agenda/session/1116065 | ML211: Cedar Uses Streamlit & Snowpark to Monitor Models, Detect Data Drifts, & Explain Predictions | 03/07/2025 11:00 AM | #REF! | (20 min) | Caesars Forum, West Theater A | AI/ML|Theater Session|Intermediate|Healthcare & Life Sciences|Data Scientist|Software Developer|Application Development|AI/ML | Cedar, a healthcare platform that aligns payers and providers, has built a machine-learning-monitoring Streamlit application that detects near real-time data drift between training and inference data, tracks and visualizes performance metrics, and performs analysis on the predictions for features. Using this Streamlit application, data scientists at Cedar have been able to use alerts to proactively take data-informed actions and provide quantifiable insights on the model's performance over time to business stakeholders. | Ethan ChaCedarSenior MLOps Enginee |
https://events.snowflake.com/summit/sessions/agenda/session/1138768 | MD212: Shift Left Governance for dbt and Snowflake: The DataHub Control Plane | 03/07/2025 11:00 AM | #REF! | (20 min) | Caesars Forum, East Theater D | Modern Data Architectures|Theater Session|Intermediate|All Industries|Data Engineer|Data Engineering & Pipelines | Data teams don’t need to compromise between data product velocity and data governance. Join Swaroop Jagadish, CEO of Acryl Data, as we walk through how Acryl uses automation and Shift-Left techniques to quickly create governed data products with a Snowflake and dbt stack. With a unified approach to data governance and observability, we’ll demonstrate how to create and enforce data contracts within a CI/CD workflow - so you can move fast without breaking things. | Swaroop JagadishAcryl DataCEO |
https://events.snowflake.com/summit/sessions/agenda/session/1159795 | Bouncing Forward - Living Beyond Limits with Amy Purdy | 03/07/2025 11:00 AM | - 12:00 PM | (1 hour) | Caesars Palace, Octavius Ballroom | Keynote|Non-Technical|All Industries | We all face challenges and obstacles in pursuit of our personal and business dreams. For most of us, those are day to day frustrations to which we often attribute far more weight than we should. For others, like Amy Purdy, those obstacles can include a life changing illness that nearly took her life and left her with two prosthetics legs as an everyday reminder of her near-death experience. This not-to-be-missed session, in which this self-proclaimed “Fembot” shares her remarkable story, weaves in the themes of creativity, clarity and commitment into an emotional rollercoaster of powerful storytelling that will take you from tears to cheers and redefine what it means to be inspired.This session will be recorded. | Lisa ScuzzoSnowflakeSenior Director, HRB |
https://events.snowflake.com/summit/sessions/agenda/session/1151425 | AA304: Autonomous Data and AI Estate - Infosys offering on Snowflake | 03/07/2025 11:30 AM | #REF! | (20 min) | Caesars Forum, West Theater A | Accelerating Analytics|Theater Session|Advanced|All Industries|Data Scientist|Cost Governance|Monetization|Governance & Compliance | As enterprises embark on a digital transformation journey, the following is crucial in adopting new business models: managing data at scale, learning from data with the use of AI and Analytics, and creating business value through an ecosystem that leverages network effects. In this journey of digital transformation, enterprises are: - Spending more time managing data and platforms than driving business outcomes - Investing more in building data pipelines and reports, rather than focusing on driving business - Struggling to deliver ROI for data driven transformations on the cloud - Caught up in a constant cycle of POCs and technology evaluation, unable to industrialize and scale in the connected economy - Managing the cost of privacy and ways of handling sensitive dataJoin this session to learn how Infosys Autonomous Data & AI Estate Management offers a solution to these problems, providing a fully managed service that leverages AI across the data and AI engineering lifecycle. With this solution, you can navigate from a "high touch" engineering process to a more efficient, "touchless" process to manage data and AI at scale. Join us to learn how this solution takes comprehensive accountability to securely manage, govern, and transform your data and AI landscape, all while improving ROI up to 45% and ensuring security, privacy, compliance, and SLA. | Balaji RamanujamInfosysAVP - Senior Princip |
https://events.snowflake.com/summit/sessions/agenda/session/1116009 | IN201: Snowflake Journey at Ciena: Migrating from an ETL intense to a simplified ELT Architecture | 03/07/2025 11:30 AM | #REF! | (20 min) | Caesars Forum, Industry Pavilion Theater North | Industry Impact|Theater Session|Intermediate|Telecom|Data Engineer|DevOps|IT / DBA|Software Developer|Technical Executive|Cost Governance|Data Engineering & Pipelines|IT Operations|Maximize Economic Value|Migrations|Modernize Pipelines|Performance & Optimization|DevOps | Our Snowflake journey began when we encountered challenges in scaling our traditional database and middle-tier data transformation tools. We strongly believed in Snowflake, which had the idea of separation of storage and compute that worked in our favor around the time when modern data technology stacks were evolving. Additionally, having the ability and power to run existing ETL logic as SQL directly into Snowflake was a significant advantage that helped us meet our SLA for data delivery. Snowflake also allowed us to rewrite our existing ETL jobs and reduce the run time from hours to minutes (even with an x-small warehouse). The power of the platform, the lower cost of TCO, and innovations like Snowpipe and Snowpark are making it possible for us to expand our support for business needs at scale. Join this session to find out how all of this was possible with Snowflake. | Dharmesh PatelSnowflakeSenior Sales EngineeRajesh RajuCiena CorporationDirector - Data Engi |
https://events.snowflake.com/summit/sessions/agenda/session/1148226 | OS213B: Hands-On Lab: Scalable Governance with Snowflake and Alation (Repeat) | 03/07/2025 11:30 AM | #REF! | (2 hours) | Caesars Forum, Alliance 310 | Operating & Optimizing Snowflake|Hands-on-Lab|Intermediate|All Industries|BI / Analyst|Data Engineer|IT / DBA|Security Practitioner|Governance & Compliance | Organizations of all sizes continue to invest in data governance to comply with numerous regulations, such as the GDPR, HIPAA, SOX, and CCPA. However, many of these organizations struggle to balance risk mitigation and manage rapid growth. Join us to see, firsthand, how Snowflake and Alation can mitigate compliance risk, increase user productivity, and improve data usage by delivering transparency and trust in the data lifecycle. In this lab you'll see how to: - Apply governance to data within Snowflake - Help users find data, understand how to use this data, and trust their data - See firsthand from Alation how users can access and work with Snowflake data - Protect sensitive data using Snowflake's role-based masking policies - Create and manage Snowflake access policies directly from Alation (Repeat) | Carlos BouloySnowflakeSenior Solution ArchGene ArnoldAlationSolution ArchitectMichael MeyerAlationTechnical Product Ma |
https://events.snowflake.com/summit/sessions/agenda/session/1116050 | ML104: GPTZero Demo: Idea to Iteration Powered by Streamlit and Snowflake | 03/07/2025 11:30 AM | #REF! | (20 min) | Caesars Forum, Data Heroes Theater | AI/ML|Theater Session|Introductory|All Industries|Business Executive|Data Scientist|Software Developer|Application Development|Generative AI & LLM|AI/ML | This session will focus on the extremely popular Streamlit app GPTZero, which was created by Princeton student Edward Tian and hosted on Streamlit's free Community Cloud platform. The app detects whether a given passage of text was generated by ChatGPT or a human author, and achieved extreme virality-two demos were seen by 7 million people in just four days, and the app was covered by numerous media outlets, including NPR, Insider, Entrepreneur, The Daily Beast, Yahoo Finance, CBC, and more. Edward Tian will present this talk in conjunction with Caroline Frasca from Streamlit's Developer Experience team, who will share insights on the process of supporting viral apps and crafting a developer experience that enables innovation and iteration. Edward will elaborate on the process of building GPTZero, the subsequent media attention, and his plans for the future of GPTZero. This session will be recorded. | Caroline FrascaSnowflakeSenior Developer ExpEdward TianGPTZero, StudentFounder |
https://events.snowflake.com/summit/sessions/agenda/session/1116071 | ML300B: Hands-On Lab: Get Started w/ Data Engineering and ML Using Snowpark for Python and Streamlit (Repeat) | 03/07/2025 11:30 AM | #REF! | (2 hours) | Caesars Forum, Alliance 309 | AI/ML|Hands-on-Lab|Advanced|All Industries|Data Engineer|Data Scientist|Application Development|Data Engineering & Pipelines|Modernize Pipelines|AI/ML | Get hands-on experience building data engineering and machine learning workflows using Snowpark for Python and Streamlit. You will work on an example scenario that will take you through the process of training a linear regression model to predict the ROI of advertising spend across multiple channels. By the end of the lab, you'll have learned how to create data pipelines, develop an ML model, use open source scikit-learn library, build Python UDFs, and deliver the results as an interactive application. You will learn to: - Analyze data to perform data engineering tasks using Snowpark DataFrames - Use open source Python libraries from a curated Anaconda channel - Deploy ML model training code to Snowflake using Python Stored Procedures - Create Python UDFs for inference - Create a Streamlit application that uses the UDF for prediction. (Repeat) | Daniel MyersSnowflakeSenior Manager, PrinDash DesaiSnowflakeLead Developer Advoc |
https://events.snowflake.com/summit/sessions/agenda/session/1163640 | AA209B: Snowflake SQL Improvements (Repeat) | 03/07/2025 11:30 AM | #REF! | (20 min) | Caesars Forum, West Theater B | Accelerating Analytics|Theater Session|Intermediate|All Industries|BI / Analyst|IT / DBA|Technical Executive|BI / Analytics|Marketing Analytics|AI/ML | The SQL improvements in Snowflake can't stop, won't stop. In the last year, we've enriched Snowflake SQL to make your queries shorter and easier to write. Join this session to learn more about new syntaxes and functions we've introduced and best practices on how to use them. (Repeat) | Felipe HoffaSnowflakeDeveloper AdvocateQinyi DingSnowflakeProduct Manager |
https://events.snowflake.com/summit/sessions/agenda/session/1163639 | AA102B: Self-Service Analytics on Streamlit (Repeat) | 03/07/2025 11:30 AM | #REF! | (20 min) | Caesars Forum, East Theater D | Accelerating Analytics|Theater Session|Introductory|All Industries|BI / Analyst|Business Executive|Data Engineer|Data Scientist|Technical Executive|Application Development|BI / Analytics|AI/ML | Join this session to learn more about Self-Service Analytics, an application built using StreamLit that enables its users to create self-service visualizations. Instead of spending time writing Python and SQL code to develop a dashboard or analytical report, this application automatically provides users with a simple selection-based GUI, helping create reports and interactive dashboards. Join this session to learn how you can use Self-Service Analytics on Streamlit to create visually arresting charts, filters and aggregations-all out of the box. Learn about the benefits of saving and retrieving work any time you need it, helping replace licensed visualization and reporting tools, and saving costs org-wide. (Repeat) | Piyush SauravSnowflakeSenior Data Analyst |
https://events.snowflake.com/summit/sessions/agenda/session/1138769 | DE215: How Ad Astra Increased Agility and Customer Value with StreamSets and Snowflake | 03/07/2025 11:30 AM | #REF! | (20 min) | Caesars Forum, East Theater C | Data Engineering|Theater Session|Intermediate|Technology|Business Executive|Data Engineer|Data Scientist|Customer 360|Data Engineering & Pipelines|Powered by Snowflake | Moving from direct database-to-database ETL data flow to streaming ELT data flow has allowed Ad Astra to increase customer value in many ways. Shorter implementations mean less demand on short-staffed IT teams as well as quicker time to value. It has also freed up Ad Astra resources because they only maintain a few pipelines instead of dozens of spoke files. In this session, see how Ad Astra transitioned from VPN tunnels and XML files to utilize StreamSets for batch data imports, how that has made them more agile as a company, and the opportunities it is opening up moving forward. | John MastersonAd AstraSenior Data Engineer |
https://events.snowflake.com/summit/sessions/agenda/session/1148225 | DE218B: Hands-On Lab: Using dbt to for Analytics and ML-Ready Pipelines w/ SQL & Python (Repeat) | 03/07/2025 11:30 AM | #REF! | (2 hours) | Caesars Forum, Alliance 314 | Data Engineering|Hands-on-Lab|Intermediate|All Industries|Data Engineer|Data Scientist|Software Developer|Data Engineering & Pipelines|Modernize Pipelines|AI/ML | Modern businesses need modern data strategies built on platforms that support agility, growth, and operational efficiency. Using dbt with Snowflake, data teams can quickly and collaboratively deploy analytics code following software engineering best practices like modularity, portability, CI/CD, and documentation. In this hands-on lab, you'll learn how to create data transformation pipelines using dbt, Snowflake SQL, and Snowpark. To make it fun, we'll be using Formula 1 data. We'll show you the analytics engineering way to use SQL versus Python for data transformations, apply data quality tests, document, and deploy to get you ready for ML workflows. (Repeat) | Hope Watsondbt LabsPartner EngineerRipu JainSnowflakePartner Technoking |
https://events.snowflake.com/summit/sessions/agenda/session/1116070 | ML216: Bringing Compute to the Data for ELT and Advanced ML (Louvain Algorithm) | 03/07/2025 12:00 PM | #REF! | (45 min) | Caesars Forum, Alliance 304 | AI/ML|Breakout Session|Intermediate|All Industries|Data Scientist|AI/ML | SailPoint is at the forefront of innovation in AI-Driven Identity Security. They've recently transitioned most of their ETL data pipelines to run on Snowflake, resulting in significant time and cost savings, as well as bringing joy to their developers. However, SailPoint's machine learning workloads have remained on external compute environments; relegated to pulling data from Snowflake into S3, performing AI magic, and pushing results back into Snowflake. Learn how Sailpoint is streamlining this flow by leveraging the latest in Snowflake innovation while bringing compute to the data and avoiding the data shuffling dance. This session will be recorded. | Kelly GrizzleSailPointDistinguished EngineMuzz ImamSnowflakeSenior Product Manag |
https://events.snowflake.com/summit/sessions/agenda/session/1116099 | WN105: What's New: Snowflake Native App Framework Demo | 03/07/2025 12:00 PM | #REF! | (20 min) | Caesars Forum, Data Heroes Theater | What's New|Theater Session|Introductory|All Industries|Product Manager|Software Developer|Application Development|Monetization|Powered by Snowflake|Snowflake Marketplace | With the Snowflake Native App Framework you can bring your application to your customer's data, natively in the Data Cloud! Join us to learn from Snowflake product experts and VeryGoodSecurity about how you can use the Snowflake Native App Framework to build Snowflake Native Apps, distribute and monetize them via Snowflake Marketplace, and deploy them directly in your customers' Snowflake accounts. This session will be recorded. | Nithin BoseVGSVP of Product and CuUnmesh JagtapSnowflakePrincipal Product Ma |
https://events.snowflake.com/summit/sessions/agenda/session/1148209 | MD205B: Data Governance in a Data Mesh (Repeat) | 03/07/2025 12:00 PM | #REF! | (45 min) | Caesars Forum, Academy 404 | Modern Data Architectures|Breakout Session|Intermediate|Technology|Security Practitioner|Data Mesh|Governance & Compliance | Organizations of all sizes want to be data-driven. To steer the organization, decision makers need timely data generated by supply partners, internal operations, and the industry ecosystem. Transforming the data landscape to become a data-driven organization comes with challenges. Join this session to learn about operating models of data governance in a data mesh. (Repeat) This session will be recorded. | Seth YoussefSnowflakeSecurity Field CTO |
https://events.snowflake.com/summit/sessions/agenda/session/1148213 | OS305B: Maximizing Snowflake Performance: A Comprehensive Best Practice Guide (Repeat) | 03/07/2025 12:00 PM | #REF! | (45 min) | Caesars Palace, Neopolitan 1 | Operating & Optimizing Snowflake|Breakout Session|Advanced|All Industries|Business Executive|Technical Executive|Cost Governance|Maximize Economic Value|Performance & Optimization | Do you ever wonder about the lifecycle of a Snowflake query? And how to investigate and understand factors that impact your query performance? This session aims to address these questions and more while providing actionable insights and practical tips to help you improve query performance. Topics addressed include a comprehensive overview of Snowflake query performance, covering the lifecycle of a Snowflake query, the Snowflake optimizer, factors affecting query performance, and best practices to improve performance. Participants will gain a deeper understanding of the fundamentals of the Snowflake compiler and optimizer, learn troubleshooting techniques to identify performance bottlenecks, and see how Snowflake features and services can optimize query performance for different scenarios. (Repeat) This session will be recorded. | Jiaqi YanSnowflakePrincipal EngineerMinzhen YangSnowflakePrincipal Engineer & |
https://events.snowflake.com/summit/sessions/agenda/session/1115941 | CY303: Tenable Builds New SaaS Security Platform on Snowflake | 03/07/2025 12:00 PM | #REF! | (45 min) | Caesars Palace, Julius 13 | Cybersecurity|Breakout Session|Advanced|All Industries|Product Manager|Software Developer|Technical Executive|Application Development|Cybersecurity|Data Engineering & Pipelines|Performance & Optimization|Powered by Snowflake|Data Sharing & Collaboration|DevOps|AI/ML | Tenable is the world's leading Cyber Exposure Management platform. As their offerings have expanded to include more products, it has become imperative to provide their customers with a single view of all their vulnerabilities. Snowflake provides the platform for Tenable to process data from these multiple products into a single view. In this talk, Tom Milner and Vincent Gilcreest will demonstrate how they built a multi-tenant data platform in six months to serve insights on their customers' attack surface back. This session will be recorded. | Thomas MilnerTenableDirector of EngineerVincent GilcreestTenableSenior Director of E |
https://events.snowflake.com/summit/sessions/agenda/session/1155357 | AA223: Implementing and Benchmarking Low Latency, Transactional Streams Using Snowflake's Streaming API for Real-Time Analytics | 03/07/2025 12:00 PM | #REF! | (45 min) | Caesars Forum, Academy 410 | Accelerating Analytics|Breakout Session|Intermediate|Telecom|Business Executive|Data Engineer|Data Mesh|Migrations|Modernize Pipelines | In this hybrid, business-technical session, Ciena and Striim will present a production use case moving real-time database change streams (CDC) into Snowlake for making immediate business decisions. The session will also highlight Striim's results on benchmarking real-time data streaming from Oracle to Snowflake using Snowflake's Streaming API. | Alok PareekStriimFounder and EVP ProdSudeep KumarCienaHead of Enterprise D |
https://events.snowflake.com/summit/sessions/agenda/session/1138775 | CY207: Data Permissions Demystified: Secure Access Control Through Authorization | 03/07/2025 12:00 PM | #REF! | (20 min) | Caesars Forum, West Theater B | Cybersecurity|Theater Session|Intermediate|All Industries|BI / Analyst|Data Engineer|Data Scientist|DevOps|IT / DBA|Product Manager|Security Practitioner|Software Developer|Technical Executive|Cybersecurity | Do you know who can see your sensitive data? Companies are storing data across more apps and cloud systems than ever before. This proliferation increases the attack surface and the burden of managing access for any user type-employees, partners, service accounts, local accounts, and more. No solution has enabled companies to understand the complete picture of access permissions to data-until now. Join us to learn how Veza's authorization platform plays a critical role in automating secure access control to data to achieve continuous compliance. No more spreadsheets, screenshots, or hidden permissions. You'll get a sneak peek into how Veza secures your Data Cloud through a unified platform for automating access reviews, managing cloud entitlements, and surfacing least privilege violations. | Aurangzeb KhanVezaVP, Solutions Engine |
https://events.snowflake.com/summit/sessions/agenda/session/1138737 | DE217: How ServiceNow Boosted Data and Analytics Productivity by Migrating to Snowflake w/ Matillion | 03/07/2025 12:00 PM | #REF! | (45 min) | Caesars Forum, Academy 418 | Data Engineering|Breakout Session|Intermediate|Technology|BI / Analyst|Data Engineer|Data Scientist|BI / Analytics|Data Engineering & Pipelines|Maximize Economic Value|Modernize Pipelines|Performance & Optimization | ServiceNow chose the Snowflake Data Cloud for its faster processing and robust self-service capabilities to boost its analytics needs. And after a rigorous evaluation process, they picked the Matillion Data Productivity Cloud solution to help them migrate their existing data pipelines. Around 35 business applications sourced to on-premises data warehouses have been moved to Snowflake's Data Cloud. In this session, ServiceNow will highlight the challenges they faced that prompted their cloud journey, explain their process in choosing a data integration platform, and detail their migration to Snowflake with Matillion, including lessons learned, best practices, and results. Join this session and learn about cloud migration, pipeline design, and the advantages of cloud-native data integration that is tightly aligned and integrated with Snowflake. This session will be recorded. | Naveen SankaServiceNow IncData Analytics EnginSarath TamminaniServiceNowSenior Manager Data |
https://events.snowflake.com/summit/sessions/agenda/session/1116089 | OS300: Best Practices on Right-Sizing Snowflake from the City of Hope National Medical Center | 03/07/2025 12:00 PM | #REF! | (45 min) | Caesars Forum, Academy 415 | Operating & Optimizing Snowflake|Breakout Session|Advanced|Healthcare & Life Sciences|Business Executive|IT / DBA|Technical Executive|Cost Governance|Maximize Economic Value|Performance & Optimization | The City of Hope Medical Center will cover why they chose Snowflake for one of the most intensive workloads in their Enterprise Business Intelligence team after conducting performance tests for both horizontal (increasing concurrency) and vertical (increasing query performance) scalability across different warehouse sizes. Then, they will dive into how to right-size Snowflake through both cost optimizations around compute and storage as well as performance optimizations like adding Search Optimization, Materialized Views, and Auto-Clustering. The City of Hope will share how they used Snowflake's extensive ACCOUNT_USAGE and ORGANIZATION_USAGE metadata views to optimize Snowflake. An in-depth view of the power of these usage views combined with functions such as GET_QUERY_OPERATOR_STATS will also be covered. This session will be recorded. | Frank BellIT StrategistsPrincipalJames ScogginsCity of Hope National Medical Senior Principle Dat |
https://events.snowflake.com/summit/sessions/agenda/session/1167431 | MD123: How Browns Shoes Scaled Their Business and Modernized Their Stack, Simultaneously | 03/07/2025 12:00 PM | #REF! | (45 min) | Caesars Palace, Julius 19 | Modern Data Architectures|Breakout Session|Introductory | Browns Shoes, a family-owned business established in Montreal, Canada in 1940, is synonymous with top international designer collections and exclusive street-savvy fashion for men, women, and children. When Browns needed to pivot on their soles to a fast-moving, online ordering, fulfillment, and delivery business model they turned to SnapLogic and Snowflake. Join this session and learn how Browns Shoes stomped on data challenges, put a shine on data pipelines, and ensured customers' shipment expectations were met to ultimately step out in new shoes. Also learn how the right integration platform enables Snowflake workloads that are not only about fast analytics, but also about modern operational data sharing and API-led data services. | Joshua FrankelBrowns ShoesSenior Manager of DaMichael NixonSnapLogicVP, Cloud Data Marke |
https://events.snowflake.com/summit/sessions/agenda/session/1115895 | AD203: How to Build Snowflake Native Connectors | 03/07/2025 12:30 PM | #REF! | (45 min) | Caesars Palace, Julius 16 | Application Development|Breakout Session|Intermediate|All Industries|Data Engineer|Data Scientist|Software Developer|Application Development|Data Engineering & Pipelines|Snowflake Marketplace | The Snowflake Native App Framework enables any developer to develop and distribute Snowflake Native Apps, including connectors, through Snowflake Marketplace. In this session, you will get an engineering perspective on how to build a native connector for Snowflake with a live demo. We will talk about common design patterns, tools and technologies recommended to build a native connector. This session will be recorded. | Pavel NeginskySnowflakeSr. Product ManagerWojciech KochmanSnowflakeSenior Backend Engin |
https://events.snowflake.com/summit/sessions/agenda/session/1115896 | AD204: How to Build Applications with Django and Snowflake | 03/07/2025 12:30 PM | #REF! | (20 min) | Caesars Forum, Data Heroes Theater | Application Development|Theater Session|Intermediate|All Industries|Data Engineer|Data Scientist|Software Developer|Application Development|Community | Join this session to learn why Django and Snowflake are important to each other, how to build a simple application with the new open source Django connector using data from Snowflake Marketplace, and what kind of support to expect for Django. This session will be recorded. | Felipe HoffaSnowflakeDeveloper Advocate |
https://events.snowflake.com/summit/sessions/agenda/session/1116044 | MD210: Scaling Business Intelligence in Retail with Python and Snowflake at Picnic | 03/07/2025 12:30 PM | #REF! | (20 min) | Caesars Forum, East Theater C | Modern Data Architectures|Theater Session|Intermediate|All Industries|BI / Analyst|BI / Analytics | As the fastest-growing online supermarket in Europe, Picnic strives to minimize food waste and cares deeply about its customers. At their core, they're a data-driven technology company, and they're using this expertise to solve the challenges of online grocery shopping. Join this session to hear how Picnic is scaling business intelligence with Python and Snowflake. | Dinis LouseiroPicnicTech Lead - Data EngIliana IankoulovaPicnicData Lead |
https://events.snowflake.com/summit/sessions/agenda/session/1115868 | AA200: Transforming Data Insights with Self-Service BI Solutions: Tableau and Snowflake | 03/07/2025 12:30 PM | #REF! | (45 min) | Caesars Forum, Academy 405 | Accelerating Analytics|Breakout Session|Intermediate|All Industries|Retail / CPG|BI / Analyst|Data Scientist|Product Manager|Technical Executive|BI / Analytics|Customer 360|Data Lakes|AI/ML | Data-driven decision-making has become a competitive advantage for many businesses including Belcorp. Join this session to learn how Belcorp combined the power of Tableau and Snowflake to transform data insights into actionable decision-making. Attendees will get a better understanding of the numerous benefits of using Tableau and Snowflake, including an expert-led walkthrough of how to create self-service BI solutions using Tableau and Snowflake, including best practices and success stories. It is a must-attend for organizations looking to stay ahead of the data-driven decision-making curve. This session will be recorded. | Lizeth VeranoBELCORPSENIOR MANAGER DATA Venkat GopalanBELCORPChief Digital Office |
https://events.snowflake.com/summit/sessions/agenda/session/1115953 | DE203: Flying High: How JetBlue Drives Fast, Reliable Analytics with Snowflake & Data Observability | 03/07/2025 12:30 PM | #REF! | (45 min) | Caesars Palace, Neopolitan 3 | Data Engineering|Breakout Session|Intermediate|All Industries|BI / Analytics|Data Engineering & Pipelines | All it takes is one storm to throw a wrench in your travel plans. For an airline, the only way to respond in these situations is to have access to fast, reliable data to power quick decision-making. At JetBlue Airways, a leading carrier in the United States, the data team is responsible for powering reliable insights for the entire organization's operational and customer service activities. To do so, the data engineering team built a cloud-based data platform that pipes data from more than 130 source systems and 3,000 production tables. In this session, Ashley Van Name, General Manager of Data Engineering, and Brian Pederson, Data Product Manager, will share why they chose to migrate to Snowflake and invest in end-to-end data observability with Monte Carlo, a Powered by Snowflake partner, to drive near real-time decision-making with Data Sharing and other critical Snowflake features. This session will be recorded. | Mr. Brian PedersonJetBlueData Product ManagerMs. Ashley Van NameJetBlueSenior Manager of Da |
https://events.snowflake.com/summit/sessions/agenda/session/1138761 | ML222: My Notebook Doesn't Do That! | 03/07/2025 12:30 PM | #REF! | (20 min) | Caesars Forum, West Theater B | AI/ML|Theater Session|Intermediate|All Industries|BI / Analyst|Data Engineer|Data Scientist|Application Development|BI / Analytics|AI/ML | Notebooks have long been the secret weapon in a data scientist's arsenal. They're the go-to workspace for pretty much any data task, from manual cleaning to complex machine learning, and they've become famous for letting users move fast and iterate while keeping a self-documenting log of what's being done. But notebooks are a Python-oriented tool and, in 2023, SQL users are still stuck using underpowered SQL runners to do their work. Traditional notebooks like Jupyter just weren't designed for use with SQL, let alone the kind of cloud-scale data workflows that Snowflake enables. The technical barrier to entry and lack of SQL support have made notebooks too difficult for many to adopt-until now. In this live and interactive technical session, we'll walk through the typical pain points SQL users experience in their day-to-day work, see how Hex's notebook-based platform can solve them, and explore some of the unique ways that Hex and Snowflake come together to make working with SQL downright delightful. | Izzy MillerHexDeveloper advocate |
https://events.snowflake.com/summit/sessions/agenda/session/1115969 | DE306: Automated PySpark to Snowpark Assessment and Migration with SnowConvert | 03/07/2025 12:30 PM | #REF! | (45 min) | Caesars Forum, Academy 411 | Data Engineering|Breakout Session|Advanced|All Industries|Data Engineer|DevOps|Data Engineering & Pipelines|Modernize Pipelines|DevOps | Are you considering a PySpark to Snowpark Migration? Come to this session to learn more about how the SnowConvert can help you plan and automate the migration. In this session, you'll see how SnowConvert Assessment Tool can take existing code to create a readiness core with nested dependencies. After that, you'll see how the SnowConvert Conversion Tool can take the same code and convert it to Snowpark Stored Procedures. Finally, we'll explore performance before and after by running multiple concurrent jobs to see how Snowpark performs. This session will be recorded. | Mauricio RojasSnowflakeSr Solution ArchitecPuneet LakhanpalSnowflakeField CTO, Data Scie |
https://events.snowflake.com/summit/sessions/agenda/session/1163644 | DE307B: Dynamic Tables Under the Hood (Repeat) | 03/07/2025 12:30 PM | #REF! | (45 min) | Caesars Forum, Alliance 305 | Data Engineering|Breakout Session|Advanced|All Industries|Data Engineer|DevOps|Data Engineering & Pipelines|Modernize Pipelines | Dynamic Tables are Snowflake's fresh perspective on how to build declarative data pipelines. All users have to do is give us a query and data freshness target. Dynamic Tables will do the rest to incrementally transform your data. During this session, we'll demystify Dynamic Tables by peeking under the hood and covering how Dynamic Tables seamlessly integrate with the rest of Snowflake. (Repeat)This session will be recorded. | Dan SotolongoSnowflakeSoftware EngineerSasha LionheartSnowflakeSoftware Engineer |
https://events.snowflake.com/summit/sessions/agenda/session/1116018 | MA201: Drive Customer Engagement by Analyzing Attitudes, Attributes, & Emotions with Snowpark | 03/07/2025 12:30 PM | #REF! | (45 min) | Caesars Palace, Julius 7 | Marketing Analytics|Breakout Session|Intermediate|All Industries|Retail / CPG|BI / Analyst|Data Engineer|Data Scientist|Technical Executive|Data Engineering & Pipelines|Marketing Analytics|Data Sharing & Collaboration|AI/ML | How does having enhanced, up-to-date, and actionable profiles of customers at their fingertips affect how organizations analyze customer behavior toward their brands? By leveraging Snowflake's native, cross-organizational collaboration capabilities and Snowpark, Bond has uncovered the link between the "what" of customer activity and the "why" of customer sentiment to generate tailored plans that improve customer engagement. In this session hear how Bond has identified unique customer segments and opportunities through advanced analytics and machine learning. This session will be recorded. | Francis SilvaBondEVP, Analytics & TecSean ClaessenBondChief Strategy Offic |
https://events.snowflake.com/summit/sessions/agenda/session/1148212 | OS207B: Best Practices for Snowflake's Native Cost Optimization Capabilities (Repeat) | 03/07/2025 01:00 PM | #REF! | (45 min) | Caesars Forum, Alliance 304 | Operating & Optimizing Snowflake|Breakout Session|Intermediate|All Industries|Business Executive|Technical Executive|Cost Governance|Maximize Economic Value|Performance & Optimization | As organizations scale Snowflake usage to more workloads and use cases, managing and optimizing costs relative to value are critical to success. In this session, Snowflake product management will share our approach to managing costs at Snowflake across the three pillars of visibility, control, and optimization. You'll see and learn how to use the latest cost optimization features in Snowflake. (Repeat) This session will be recorded. | Samartha ChandrashekarSnowflakeManager, Product Man |
https://events.snowflake.com/summit/sessions/agenda/session/1148210 | OS206B: Best Practices for Snowflake's Native Data Governance Capabilities (Repeat) | 03/07/2025 01:00 PM | #REF! | (45 min) | Caesars Palace, Neopolitan 1 | Operating & Optimizing Snowflake|Breakout Session|Intermediate|All Industries|Business Executive|IT / DBA|Security Practitioner|Technical Executive|Snowgrid|Governance & Compliance | Learn best practices to better know and protect your data with Snowflake's native data governance capabilities. Easily connect to your data ecosystem for full data estate management and secure collaboration. Come hear how Citi has adopted Snowflake's native data governance features to address their compliance and regulatory needs. (Repeat) This session will be recorded. | Premcharan MarakaniCitiSr Lead ArchitectRaja BalakrishnanSnowflakeSenior Product Manag |
https://events.snowflake.com/summit/sessions/agenda/session/1116102 | WN202: What's New: App Development with Streamlit Demo | 03/07/2025 01:00 PM | #REF! | (20 min) | Caesars Forum, Data Heroes Theater | What's New|Theater Session|Intermediate|All Industries|Data Engineer|Data Scientist|DevOps|Product Manager|Software Developer|Application Development|Data Engineering & Pipelines|DevOps|AI/ML | Join us to learn more about the latest enhancements to Snowflake's integration with Streamlit and how you can start quickly building apps using Python. This session will be recorded. | Aileen LuSnowflake IncProduct ManagerAmanda KellySnowflakeDirector of Product |
https://events.snowflake.com/summit/sessions/agenda/session/1163643 | DE209B: Building Pipelines with Dynamic Tables (Repeat) | 03/07/2025 01:00 PM | #REF! | (20 min) | Caesars Forum, West Theater B | Data Engineering|Theater Session|Intermediate|All Industries|Data Engineer|DevOps|Data Engineering & Pipelines|Modernize Pipelines|DevOps | With Dynamic Tables, Snowflake simplifies the creation and maintenance of data pipelines. Gone are the days when users had to manually consolidate their data. But how do you use Dynamic Tables exactly? What are the design decisions? How do you deal with errors and performance regressions? In this session, you'll learn how to set up a full data pipeline. We'll navigate common issues using the many metric sources that come with Dynamic Tables. Where necessary, we'll change our setup on the fly to ensure our business requirements are met and explain the effect of the target lag parameter, the difference between full and incremental refreshes, and the reasons for skipped refresh. After attending the talk, you will be able to start your own pipeline consisting of multiple connected Dynamic Tables and be familiar with the basic tools to monitor and adapt your pipeline. (Repeat) | Daniel MillsSnowflakeSenior Software EngiNikhil ShahSnowflakeSr.Manager Engineeri |
https://events.snowflake.com/summit/sessions/agenda/session/1116061 | ML206: Building a Comprehensive Data Science Platform on Snowflake at Regions Bank | 03/07/2025 01:00 PM | #REF! | (45 min) | Caesars Palace, Julius 19 | AI/ML|Breakout Session|Intermediate|Financial Services|Data Scientist|AI/ML | In 2022, Regions Bank launched its largest business and technology transformation, "Regions 2.0," or R2. R2 is a business-led, technology-enabled transformation that will impact every part of the organization. Through R2, Regions is laying the groundwork to build their future bank-one that changes the way they go to market, provides customers with greater convenience and access, and empowers every associate. Snowflake is at the heart of this transformation and is powering more scalable, faster delivery of data products for improved overall customer experience. Join this session to learn how Regions is using Snowflake to migrate off of an on-premises data lake and using Snowpark-optimized warehouses to modernize its machine learning workbench. This session will be recorded. | Chase GintherSnowflakeManager, Data SciencDaniel StahlRegions FinancialHead of Data Enginee |
https://events.snowflake.com/summit/sessions/agenda/session/1115912 | CO200: How Internal and External Data Drives Intelligent Third-Party Risk Management at Snowflake | 03/07/2025 01:00 PM | #REF! | (45 min) | Caesars Forum, Academy 418 | Collaboration|Breakout Session|Intermediate|All Industries|BI / Analyst|Business Executive|Security Practitioner|Technical Executive|Cybersecurity|Data Sharing & Collaboration|Governance & Compliance | In order to maximize the value of a third-party risk management program, companies need to have a comprehensive, real-time picture of their vendors' risk profile that draws on data from various internal and external sources. These risk profiles are useful in making decisions during contract renewal and negotiation, vendor relationship management, and prioritization of risk mitigation projects. Combining data from various sources such as inherent risk data from the vendor management system, the security monitoring score from our Snowflake Marketplace partners, financial health, existing business relationship details from our internal sourcing system, and other data elements across different systems, Snowflake's Global Security Risk Compliance team leverages Snowflake to provide a 360-degree view of the risk that our third parties may introduce to Snowflake. This session will be recorded. | Dmitri KurakovSnowflakePrincipal Data EnginJoshua McKibbenSnowflakeSenior Director Glob |
https://events.snowflake.com/summit/sessions/agenda/session/1151436 | ML225: A Beginner’s Guide to LLMs inside Snowflake | 03/07/2025 01:00 PM | #REF! | (45 min) | Caesars Forum, Academy 415 | AI/ML|Breakout Session|Intermediate|All Industries|Data Scientist|Application Development|Data Engineering & Pipelines|Generative AI & LLM|AI/ML | Embark on an educational journey with us as we demystify the intriguing world of Large Language Models (LLMs) and show how you can leverage this power within Snowflake. This session will empower you with a practical understanding of the core technical concepts behind LLMs, providing a solid foundational understanding for beginners.Whether you’re new to the field or looking to strengthen your knowledge, we’ve got you covered. We’ll focus on elucidating the core mechanics underpinning LLMs, and how they are able to process and generate human-like text. We will take you on a step-by-step journey through the LLM technologies you can use in Snowflake, clearly explaining each component’s role and how they interact.But it doesn’t stop there. We will showcase how you can harness the power of LLMs yourself with a series of live demos. These demos will provide a practical visualization of the technology in action, supporting your understanding of the technical concepts covered in our session.By the end of this session, we aim to equip you with a comprehensive understanding of LLMs which foundational technologies within Snowflake you can use to harness this powerful technology. This is your chance to explore the backbone of one of the most exciting advancements in AI technology.This session will be recorded. | Lukasz BorchmannSnowflakeSenior Research SciePieter VerhoevenSnowflakeSenior Product Manag |
https://events.snowflake.com/summit/sessions/agenda/session/1163642 | DE206B: Fast Ingest with Snowflake (Repeat) | 03/07/2025 01:30 PM | #REF! | (45 min) | Caesars Palace, Neopolitan 3 | Data Engineering|Breakout Session|Intermediate|All Industries|Data Engineer|DevOps|Product Manager|Software Developer|Application Development|Data Engineering & Pipelines|DevOps | Learn how to load data into Snowflake faster. This will be a tour of the speed and efficiency of different ingest patterns and technologies. In this session, you'll learn best practices and patterns for Snowpipe, Snowpipe Streaming, COPY from external and internal stages, and the Kafka Connector. (Repeat) This session will be recorded. | Brad CulbersonSnowflakeData Platform ArchitDmytro YaroshenkoSnowflakeField CTO |
https://events.snowflake.com/summit/sessions/agenda/session/1148207 | DE103B: Reduce Ingestion Costs with Snowpipe Streaming and Dynamic Tables (Repeat) | 03/07/2025 01:30 PM | #REF! | (45 min) | Caesars Forum, Academy 411 | Data Engineering|Breakout Session|Introductory|All Industries|Business Executive|Data Engineer|DevOps|Technical Executive|BI / Analytics|Cost Governance|Data Engineering & Pipelines|Maximize Economic Value|Modernize Pipelines|Performance & Optimization|DevOps | Snowpipe Streaming reduces ingestion cost as it is on demand compared to running a streaming receiver like Spark that is running 24-7-365. These serverless features self-heal, which reduces the cost of maintenance as well. In this session, you'll see an ingestion and transformation pipeline build that saves cost on streaming data using new Snowpipe Streaming and Dynamic Table functionality. (Repeat) This session will be recorded. | Parag JainSnowflake Inc.Principal Architect,Xin HuangSnowflakeProduct Manager |
https://events.snowflake.com/summit/sessions/agenda/session/1116014 | MA105: How Simon Data Leverages Snowflake as the Core of the Modern Marketing Tech Stack | 03/07/2025 01:30 PM | #REF! | (45 min) | Caesars Palace, Pompeian 1 | Marketing Analytics|Breakout Session|Introductory|All Industries|Data Engineer|Technical Executive|Customer 360|Marketing Analytics|Powered by Snowflake|Data Sharing & Collaboration | Modern marketing requires a flexible and robust data infrastructure. To meet these requirements, Simon Data turned to Snowflake to power its industry-leading customer data platform. Join Simon Data co-founders, Dr. Jason Davis, CEO, and Matt Walker, CTO, for an engaging discussion on: - How Simon and Snowflake's bi-directional data-share transforms Snowflake into a marketing powerhouse - How Simon uses Snowflake's flexible data architecture to power cutting edge campaigns for leading retail and ecommerce brands - The flexibility of deploying across across connected and native snowflake apps This session will be recorded. | Jason DavisSimon DataCEOMatt WalkerSimon DataCTO |
https://events.snowflake.com/summit/sessions/agenda/session/1115971 | DE308B: Orchestrating Data Pipelines with Snowpark dbt Python Models and Airflow Technical Deep Dive (Repeat) | 03/07/2025 01:30 PM | #REF! | (20 min) | Caesars Forum, Data Heroes Theater | Data Engineering|Theater Session|Advanced|All Industries|Data Engineer|DevOps|Data Engineering & Pipelines|Modernize Pipelines | A common Airflow use case is orchestrating Snowflake queries as part of a data pipeline. However, such pipelines are normally SQL-based and data engineers would like to interact with Python models to perform their data engineering. With the release of dbt version 1.3, it's now possible to create both SQL- and Python-based models in dbt, and these Python-based dbt models are made possible by Snowflake's new native Python support and Snowpark API for Python. With Airflow, you are now able to harness the power of Snowpark dbt Python Models and orchestrate these workflows to transform and manage your data. In this session, you'll see a technical deep dive into how we can build more fluid data pipelines with Snowpark for Python, dbt, and Airflow. (Repeat) This session will be recorded. | Adrian LeeSnowflakeSolutions Engineer |
https://events.snowflake.com/summit/sessions/agenda/session/1116045 | MD300: Modernizing Marriott Data Platform with Snowflake | 03/07/2025 02:30 PM | #REF! | (45 min) | Caesars Forum, Academy 405 | Modern Data Architectures|Breakout Session|Advanced|Financial Services|Retail / CPG|Data Engineer|IT / DBA|Technical Executive|Data Engineering & Pipelines|Data Lakes|Modernize Pipelines | Join this session to learn how Marriott modernized their data warehouse and data lakes with Snowflake, enabling near real-time streaming, and simplified governance. In addition, hear how Marriott is using Snowpark to perform parsing and flattening. This session will be recorded. | Daniel MacDonaldMarriott InternationalVice President, DataKarunakar VanukuriMARRIOTT INTERNATIONAL INCSr. Director |
https://events.snowflake.com/summit/sessions/agenda/session/1161581 | Panel Discussion: Predictions on Generative AI and LLMs in the Enterprise | 03/07/2025 09:00 AM | #REF! | (45 min) | Caesars Palace, Octavius Ballroom | Keynote|Non-Technical|All Industries|BI / Analyst|Business Executive|Data Engineer|Data Scientist|DevOps|IT / DBA|Product Manager|Security Practitioner|Software Developer|Technical Executive|Data Buyers|Generative AI & LLM|AI/ML | In the fast changing world of generative AI and large language models (LLMs), it can be especially challenging to sift through the buzz and prioritize which use cases will have the biggest impact on your business. Join Christian Kleinerman, SVP Product at Snowflake, for a moderated discussion with some of the leaders in this space as they share their perspectives, predictions, and what enterprises should consider when adopting this technology. The panelists include: Andrew Ng (Founder & CEO, Landing AI), Ali Dalloul (VP Azure AI Platform, Microsoft) and Jonathan Cohen (VP of Applied Research, NVIDIA).Expect an educational and engaging debate on the topic that’s top of everyone’s mind - what does the future hold for generative AI and LLMs in the enterprise.This session will be recorded. | Ali DalloulMicrosoftVP Azure AI PlatformAndrew NgLanding AIFounder & CEOChristian KleinermanSnowflakeSVP, ProductJonathan CohenNVIDIAVP of Applied Resear |
https://events.snowflake.com/summit/sessions/agenda/session/1115904 | AD307: Snowflake Security Best Practices for Building Data Applications | 03/07/2025 09:00 AM | #REF! | (45 min) | Caesars Palace, Neopolitan 3 | Application Development|Breakout Session|Advanced|All Industries|IT / DBA|Security Practitioner|Software Developer|Application Development|Cybersecurity|Governance & Compliance | This session will discuss security, networking, and identity access management (IAM) around building multi-tenant data applications on Snowflake. It will dive into security, data control, and tenants' isolation options for builders looking to develop a secure multi-tenant application. We will cover secure connectivity, identity access management, data governance capabilities, encryption, data protection, high availability, auditing and monitoring, including all the new security features. This session will be recorded. | Prasoon ShuklaSnowflakeSr. Product ManagerSeth YoussefSnowflakeSecurity Field CTO |
https://events.snowflake.com/summit/sessions/agenda/session/1148218 | WN104B: What's New: Snowflake Marketplace and Collaboration (Repeat) | 03/07/2025 09:00 AM | #REF! | (45 min) | Caesars Palace, Augustus 5 | What's New|Breakout Session|Introductory|All Industries|BI / Analyst|Business Executive|Data Scientist|Product Manager|Security Practitioner|Technical Executive|Monetization|Powered by Snowflake|Snowflake Marketplace|Snowgrid|Data Sharing & Collaboration|Governance & Compliance|Generative AI & LLM | Join us to learn how Snowflake Marketplace allows everyone in your organization to find, try, and buy data and apps more easily, and how Snowflake enables collaboration across your global business ecosystem at scale. (Repeat) This session will be recorded. | Eric DorfSnowflakeProduct ManagerSami IqramSnowflakeSenior Product ManagTed HamiltonSnowflakeSenior Manager, Prod |
https://events.snowflake.com/summit/sessions/agenda/session/1115892 | AD200B: Hands-On Lab: Building an API for Your Applications with Snowflake (Repeat) | 03/07/2025 09:00 AM | - 11:00 AM | (2 hours) | Caesars Forum, Alliance 309 | Application Development|Hands-on-Lab|Intermediate|All Industries|Software Developer|Application Development | Modern applications often want to retrieve that data through REST APIs. Learn how to build a custom API to power your applications via Snowflake. In this lab, you will build, deploy, and operate a REST API built on Snowflake. This API consists of reporting endpoints from data stored in Snowflake. You will leverage Python and Flask for the application logic and test the API with a simple web page and command-line tools. (Repeat) | Brad CulbersonSnowflakeData Platform ArchitBrian HessSnowflakeField CTO |
https://events.snowflake.com/summit/sessions/agenda/session/1138735 | AA002: Strategies for Monetizing Your Data Amid Market Volatility | 03/07/2025 09:00 AM | #REF! | (20 min) | Caesars Forum, West Theater B | Accelerating Analytics|Theater Session|Non-Technical | In our current climate, every decision your business makes is an investment in its future. Join Snowflake Data Superhero and ThoughtSpot Senior Analytics Evangelist Sonny Rivera as he discusses proven strategies for top-line revenue growth, including data monetization via embedded analytics apps, supported by the technical know-how you need to optimize query performance and accelerate speed to market. | Sonny RiveraThoughtspotSr. Analytics Evange |
https://events.snowflake.com/summit/sessions/agenda/session/1115962 | DE212: Leveraging dbt to Build Blockchain Data Pipelines | 03/07/2025 09:00 AM | #REF! | (20 min) | Caesars Forum, Data Heroes Theater | Data Engineering|Theater Session|Intermediate|All Industries|Data Engineer|DevOps|Data Engineering & Pipelines|Modernize Pipelines | Join this session to learn about the benefits of using Snowflake and dbt to transform, manage, and store blockchain data. The session will explore how external functions in Snowflake can be used with dbt to build composable data pipelines that enable self-service data engineering. You'll learn how to easily transform and standardize blockchain data from various encoded formats and sources using dbt's powerful data transformation capabilities, and how external functions can be used to extend the capabilities of Snowflake and dbt. Attendees will also discover how to efficiently load millions of rows of data into Snowflake while ensuring data quality and integrity. This session is a must-attend for anyone looking to optimize their data pipelines with dbt and Snowflake. You'll gain valuable insights into working with Ethereum Virtual Machine data, as well as learn about building composable data pipelines that enable self-service data engineering with the help of external functions. This session will be recorded. | Austin BlackerbyFlipside CryptoAnalytics ManagerJulius RemigioFlipside CryptoLead Analytics Engin |
https://events.snowflake.com/summit/sessions/agenda/session/1116079 | OS105: Snowflake Data Cloud for Regulated Markets | 03/07/2025 09:00 AM | #REF! | (20 min) | Caesars Forum, East Theater C | Operating & Optimizing Snowflake|Theater Session|Non-Technical|Public Sector|Security Practitioner|Snowgrid|Governance & Compliance | Snowflake is continuously expanding our portfolio of Security & Compliance certifications to meet customer needs across multiple industries. Snowflake has achieved several authorizations and certifications including: StateRAMP authorization, and is SOC1 Type 2, SOC2 Type 2, ISO 27001, FISMA Moderate, FIPS 140-2, ARS 3.1, PCI DSS, and HIPAA certified. In addition, Snowflake is ITAR and HITRUST compliant demonstrating Snowflake’s commitment to regulated industries and regions across the globe. Snowflake’s SnowGov Regions are operational and ready to support customers requiring specific compliance controls such as the FBI’s Criminal Justice Information Services (CJIS) Security Policy. Join us in this summit session, to learn about the newest authorization and strategic roadmaps from our product & compliance experts. Gain the assurance you need to empower your most demanding data workloads using Snowflake’s cutting-edge capabilities with compliance. | Chandru SugunanSnowflakeSenior Product ManagKunal KapoorSnowflakeSenior Manager Produ |
https://events.snowflake.com/summit/sessions/agenda/session/1116080 | OS200C: Hands-On Lab: for Cost Optimization in Snowflake (Repeat) | 03/07/2025 09:00 AM | - 11:00 AM | (2 hours) | Caesars Forum, Alliance 310 | Operating & Optimizing Snowflake|Hands-on-Lab|Intermediate|All Industries|DevOps|IT / DBA|Software Developer|Technical Executive|Cost Governance|Maximize Economic Value|Performance & Optimization | Follow along for this hands-on lab on optimzing cost and performance inside Snowflake. Topics covered include visibility, control, and optimization of Snowflake spend. (Repeat) | |
https://events.snowflake.com/summit/sessions/agenda/session/1148222 | WN208B: What's New: Streaming with Snowflake (Repeat) | 03/07/2025 09:00 AM | #REF! | (45 min) | Caesars Palace, Augustus 1 | What's New|Breakout Session|Intermediate|All Industries|Data Engineer|DevOps|Software Developer|Application Development|Data Engineering & Pipelines|Modernize Pipelines|Performance & Optimization|AI/ML | Join us to learn about the latest Snowflake enhancements that remove the boundaries between streaming and batch, enabling data pipelines to be created more easily than ever before. (Repeat) This session will be recorded. | John RiewertsAcousticSenior Vice PresidenSaras NowakSnowflakeSenior Product ManagXin HuangSnowflakeProduct Manager |
https://events.snowflake.com/summit/sessions/agenda/session/1148215 | WN206B: What's New: Snowpark and DevOps (Repeat) | 03/07/2025 09:00 AM | #REF! | (45 min) | Caesars Palace, Augustus 3 | What's New|Breakout Session|Intermediate|All Industries|Data Engineer|Data Scientist|DevOps|Software Developer|Application Development|Data Engineering & Pipelines|Modernize Pipelines|DevOps|AI/ML | Join us to learn about the latest innovations to support even more end-to-end development in Snowflake, including Snowpark enhancements and new DevOps capabilities. (Repeat) This session will be recorded. | Jason FreebergSnowflake / SnowparkProduct ManagerSri ChintalaSnowflakeSenior Product Manag |
https://events.snowflake.com/summit/sessions/agenda/session/1163782 | MA109: How ZoomInfo Utilizes Its Own Data to Attain a 360-Degree Customer View in Snowflake | 03/07/2025 09:00 AM | #REF! | (20 min) | Caesars Forum, West Theater A | Marketing Analytics|Theater Session|Introductory|Technology|Business Executive|DevOps|Powered by Snowflake|Data Sharing & Collaboration|Governance & Compliance | In this session we will share the process of how ZoomInfo's Snowflake Connector provides controlled, autonomous access to campaign-critical data, saving time and reducing data silos for unparalleled success. Hear from Amit Rai, ZoomInfo's Senior Vice President of Data as a Service (DaaS), and Millie Beetham, ZoomInfo's Director of GTM Innovation, as they share how ZoomInfo is leveraging its own industry-leading B2B data to achieve a comprehensive customer view in Snowflake. ZoomInfo's data-driven approach empowers businesses to attain a 360-degree view of their customers, enabling them to execute efficient go-to-market strategies by leveraging B2B data to automate your GTM strategy. Don't miss this opportunity to learn how to unlock the power of ZoomInfo and transform your approach to B2B data democratization. | Amit RaiZoomInfoSVP OperationsOS, So |
https://events.snowflake.com/summit/sessions/agenda/session/1159784 | AA116: Unlock the Power of the Modern Data Stack with Cube's Semantic Layer and Drift | 03/07/2025 09:00 AM | #REF! | (20 min) | Caesars Forum, East Theater D | Accelerating Analytics|Theater Session|Introductory|All Industries|Data Engineer|Performance & Optimization | Gain valuable insights from industry leaders Cube and Drift, as they share their successful journey in unlocking the power of the modern data stack. In this engaging discussion, Drift will share how they overcame data challenges using Cube's semantic layer, which helped them deliver actionable insights to their customers. You'll learn about the key achievements Drift accomplished with Cube and how easy it was for them to implement in their data stack. Plus, you'll get key takeaways on how Cube and Drift partnered to fully maximize their data potential on top of Snowflake. | Andrew McGlatheryDriftSr. Engineering ManaArtyom KeydunovCube Dev, IncCEO & Co-Founder |
https://events.snowflake.com/summit/sessions/agenda/session/1155361 | DE200C: Hands-On Lab: Data Engineering Pipelines with Snowpark Python (Repeat) | 03/07/2025 09:00 AM | - 11:00 AM | (2 hours) | Caesars Forum, Alliance 314 | Data Engineering|Hands-on-Lab|Intermediate|All Industries|Data Engineer|Data Scientist|DevOps|Software Developer|Data Engineering & Pipelines|Modernize Pipelines|DevOps | Did you attend the Data Engineering Pipelines with Snowpark Python session? Or do you want to get step-by-step guided intruction on building data engineering pipelines with Python? In this hands-on lab, you'll walk through the end-to-end process of creating a robust data engineering pipeline using Snowpark Python stored procedures. That pipeline will process data incrementally, be orchestrated with Snowflake Tasks, and be deployed via a CI/CD pipeline. You'll also learn how to use Snowflake's new developer CLI tool and Visual Studio Code extension. (Repeat Session) | Christen MarshallSnowflakeSolutions Engineer, David RichertSnowflake ComputingCloud Platform Archi |
https://events.snowflake.com/summit/sessions/agenda/session/1163647 | DE211B: Operationalizing Snowpark Python (Repeat) | 03/07/2025 09:30 AM | #REF! | (20 min) | Caesars Forum, West Theater B | Data Engineering|Theater Session|Intermediate|All Industries|Data Engineer|Data Scientist|DevOps|Software Developer|Application Development|Data Engineering & Pipelines|DevOps|AI/ML | With Snowpark Python now generally available, many Snowflake customers are able to bring production Python workloads. But how? For instance, how should you think about the dataframe API vs. user-defined functions vs. UDTFs? In this session, you'll learn core design principles for building capabilities on top of Snowpark Python (across data engineering, data science, and data application workloads). (Repeat) | Caleb BaechtoldSnowflakeML/AI Field CTO |
https://events.snowflake.com/summit/sessions/agenda/session/1116078 | OS104: Best Practices for ML Based Data Governance Using Snowflake | 03/07/2025 09:30 AM | #REF! | (20 min) | Caesars Forum, West Theater A | Operating & Optimizing Snowflake|Theater Session|Introductory|All Industries|Data Engineer|Data Scientist|IT / DBA|Security Practitioner|Technical Executive|Governance & Compliance|AI/ML | Every enterprise, in every industry, is amassing large troves of data, thereby bringing data governance to the forefront. Regulatory requirements aside, good governance is critical to unlocking the value of data. This session dives into Snowflake's native data governance capabilities, looking at how data catalogs and lineage enable data discovery, adoption, and stewardship, and how sensitive data can be identified using Snowflake's auto-detection capabilities and protected with native masking and row-level security. The session will also explore how just-in-time machine learning and user-behavior models for RBAC provisioning are used to effectively right-size access, roles, grants, and permissions. We will also explore how other ML-powered tools are used to automate and improve data governance processes. | Sandeep ChandanaSnowflake Inc.Director, Data ScienShweta GummidipudiSnowflakeVP, Enterprise Apps |
https://events.snowflake.com/summit/sessions/agenda/session/1148211 | OS101B: What's New in Data Governance & Privacy (Repeat) | 03/07/2025 09:30 AM | #REF! | (45 min) | Caesars Forum, Alliance 304 | Operating & Optimizing Snowflake|Breakout Session|Introductory|All Industries|Business Executive|IT / DBA|Security Practitioner|Technical Executive|Snowgrid|Governance & Compliance | Come learn more about the newest native data governance and privacy capabilities that work across clouds and regions to bring visibility and control across your entire global data estate. (Repeat) This session will be recorded. | Raja BalakrishnanSnowflakeSenior Product ManagShruti AnandSnowflake IncSenior Product Manag |
https://events.snowflake.com/summit/sessions/agenda/session/1151434 | IN207: Reimagining the Workforce Experience: Powered by Data | 03/07/2025 09:30 AM | #REF! | (20 min) | Caesars Forum, East Theater C | Industry Impact|Theater Session|Intermediate|Telecom|Product Manager|IT Operations|AI/ML | As companies adapt to a rapidly changing business landscape, HR and other central support functions are leading the transformation of their IT ecosystems to reimagine the workplace experience, enhance how employees work, and evolve their company culture. Workforce and workplace strategies are critical to success and mandate scalable and secure data ecosystems to not only support, but drive key decision-making. This session will explore how you can reimagine a transformed workforce experience - including: implementing new technology, creating flexible work environments, and promoting employee well-being while harnessing the power of data-driven systems. Attendees will get a behind-the-scenes view and gain valuable insights on how leveraging technology can create a more engaging and dynamic workplace culture that drives organizational excellence. | Kamesh KothandanCapgeminiDirector, Insights &Usha JoseT-MobileDelivery Manager – H |
https://events.snowflake.com/summit/sessions/agenda/session/1140447 | MD112: Building and Scaling Your Data Management Strategy on Snowflake with Informatica | 03/07/2025 09:30 AM | #REF! | (20 min) | Caesars Forum, East Theater D | Modern Data Architectures|Theater Session|Introductory|All Industries|BI / Analyst|Data Engineer|IT / DBA|Data Engineering & Pipelines|Governance & Compliance | Organizations that want to be data-driven need to empower the various personas in their data community with the right tools and services. Join us in this technical session to discover the latest innovations and integrations between AI-powered Informatica Intelligent Data Management Cloud™ (IDMC) and Snowflake Data Cloud is enabling both business and IT personas to build and scale their data integration and data governance strategy, while achieving new operational efficiencies. | Rajeev SrinivasanInformaticaDirector of Technica |
https://events.snowflake.com/summit/sessions/agenda/session/1140452 | IN300: How HCLTech Is Pioneering Pricing Analytics with Snowflake | 03/07/2025 09:30 AM | #REF! | (25 min) | Caesars Forum, Industry Pavilion Theater South | Industry Impact|Theater Session|Advanced|All Industries|BI / Analyst|Business Executive|Data Engineer|Data Scientist|DevOps|IT / DBA|BI / Analytics|Powered by Snowflake|Supply Chain | Pricing Analytics plays a crucial role in enabling manufacturers to finetune pricing strategies, reduce costs, and boost customer satisfaction. By effectively utilizing data from various sources-including production systems, supply chain management systems, customer orders, market research data, and external POS-manufacturers can uncover invaluable insights into pricing performance and supply chain effectiveness. In this engaging session, discover how the collaboration between HCLTech and Snowflake transforms pricing analytics capabilities. Learn the essentials of seamless data integration from multiple sources, and tap into powerful insights for informed strategic decision-making. | Nanda Kishore KuchanaHCLTechSenior Solutions ArcRamkishore KuchanaHCLTechSenior Enterprise Ar |
https://events.snowflake.com/summit/sessions/agenda/session/1116072 | ML301: Hyperparameter Tuning in Snowpark | 03/07/2025 09:30 AM | #REF! | (20 min) | Caesars Forum, Data Heroes Theater | AI/ML|Theater Session|Advanced|All Industries|Data Scientist|Performance & Optimization|AI/ML | Hyperparameter tuning for your machine learning models can take hours. With Snowpark User-Defined Table Functions (UDTFs), you can parallelize these models so that they run in a fraction of the time, giving data scientists the ability to finely tune their models. Join this demo to learn how to tune hyperparameters and turn them into objects that can then be fed into your model for optimized performance. This session will be recorded. | Chase RomanoSnowflakeSolutions Architect, |
https://events.snowflake.com/summit/sessions/agenda/session/1116091 | OS302: How Instacart Optimized Snowflake Costs by 50% | 01/07/2025 11:30 AM | #NAME? | (45 min) | Caesars Forum, Alliance 305 | Operating & Optimizing Snowflake|Breakout Session|Advanced|Retail / CPG|Technology|Business Executive|IT / DBA|Technical Executive|Cost Governance|Maximize Economic Value|Performance & Optimization | Instacart has spent a lot of resources over the last year to optimize their Snowflake spend, resulting in cost savings of more than 50%. In this session, Instacart will share key insights and best practices on optimizing costs in Snowflake. This session will be recorded. | Rajpal ParyaniInstacartEngineering Manager Scott ReddingSnowflakeSenior Solution Arch |
https://events.snowflake.com/summit/sessions/agenda/session/1138779 | AD206A: Hands-On Lab: Build and Secure Multi-Tenant Applications Using Sigma and Snowflake | 01/07/2025 11:30 AM | #REF! | (2 hours) | Caesars Forum, Alliance 310 | Application Development|Hands-on-Lab|Intermediate|All Industries|BI / Analyst|Data Engineer|Product Manager|Software Developer|Application Development|BI / Analytics|Data Engineering & Pipelines | Whether you're a global retailer, a tech company, or a financial services firm, providing near real-time embedded analytics to your business users can help optimize your operations, improve your product conversion, and drive new lines of revenue. Join Snowflake and Sigma for an instructor-led hands-on lab at Summit, where you'll learn how to build scalable, customer-facing analytics applications optimized for Snowflake. In this lab you'll learn how to: - Build an interactive, embeddable dashboard with unique drill-down capabilities using Snowflake and Sigma's unique UI - Leverage column- and row-level security policies to secure data in Snowflake - Dynamically assign Snowflake role and warehouse using Sigma user attributes - Analyze engagement across customer demographics and see the end user experience in data products built on Sigma and Snowflake | Keith SmithSnowflakeSenior Partner SalesKelsey HammockSigma ComputingPartner Engineer |
https://events.snowflake.com/summit/sessions/agenda/session/1115924 | CY000: Prologis' Approach to Advanced Security Analytics on the Snowflake Security Data Lake | 01/07/2025 11:30 AM | #NAME? | (20 min) | Caesars Forum, Industry Pavilion Theater North | Cybersecurity|Theater Session|Non-Technical|All Industries|Financial Services|Healthcare & Life Sciences|Manufacturing|Media / Entertainment / Advertising|Public Sector|Technology|Telecom|Business Executive|Security Practitioner|Technical Executive|BI / Analytics|Cybersecurity|Data Engineering & Pipelines|Data Lakes|Snowflake Marketplace|Data Sharing & Collaboration | Security and data teams partner to modernize security operations with a security data lake. In this session, we'll talk about the Prologis journey, moving from the SIEM to advanced analytics in the security data lake using Snowflake and add-on tools. Through this journey, we'll highlight benefits and value gains of implementing a security data lake. | Luke SlotwinskiPrologisVP, Data and AnalytiTyler WarrenPrologisDeputy Information S |
https://events.snowflake.com/summit/sessions/agenda/session/1115899 | AD302: Developing Apps that Scale: Deep Dive into the Architecture of IQVIA's OCE Optimizer | 01/07/2025 11:30 AM | #NAME? | (45 min) | Caesars Palace, Julius 23 | Application Development|Breakout Session|Advanced|Healthcare & Life Sciences|DevOps|IT / DBA|Product Manager|Software Developer|Application Development|Performance & Optimization|Powered by Snowflake|DevOps | IQVIA's Orchestrated Customer Engagement (OCE) Optimizer empowers life science commercial operations teams to maximize go-to-market resources by executing highly targeted customer engagements across all interaction channels. IQVIA chose Snowflake's platform for its rapid performance, low cost, and unique, value-generating features. Join this session to explore the architecture of IQVIA's OCE Optimizer and the design choices they made along the way to build a highly scalable application, as well as how Snowflake features like data cloning and time travel enabled OCE-Optimizer users to make real-time decisions and strategy adjustments in response to market changes. This session will be recorded. | Brian HessSnowflakeField CTOHarish LakshmiIQVIASenior Director, Orc |
https://events.snowflake.com/summit/sessions/agenda/session/1140443 | MD222: Building a Faster Future: ServiceNow's Journey with Enterprise Data Platform on Snowflake | 01/07/2025 11:30 AM | #NAME? | (20 min) | Caesars Forum, West Theater B | Modern Data Architectures|Theater Session|Intermediate|All Industries|BI / Analyst|Business Executive|Data Engineer|IT / DBA|Software Developer|Technical Executive|Data Engineering & Pipelines|Migrations|Modernize Pipelines|Monetization|Performance & Optimization|Data Sharing & Collaboration|Governance & Compliance | Accelerating cloud adoption and leveraging powerful cloud technologies can drive innovation and growth for businesses of all sizes. In this session, we explore how LTIMindtree helped ServiceNow accelerate their cloud journey to Snowflake, and the benefits that this partnership brought to ServiceNow. This session will dive into the key strategies and approaches used to navigate the most challenging migration from SAP HANA to Snowflake. Whether you're a business looking to accelerate your cloud journey or a technology consultant seeking to learn more about cloud implementation, this session will provide valuable insights and takeaways. Join us to discover how collaboration, expertise, and innovation can unlock the power of the cloud and drive business success. | Deepak KhoslaLTIMindtreeVP - Data & AnalyticSiva PrasadServiceNow Inc.Sr. Director, Enterp |
https://events.snowflake.com/summit/sessions/agenda/session/1115867 | AA105: Hands-On Lab: Mastering Spatial Analysis with Snowflake's New Geometry Data Type | 01/07/2025 11:30 AM | #REF! | (2 hours) | Caesars Forum, Alliance 309 | Accelerating Analytics|Hands-on-Lab|Introductory|All Industries|BI / Analyst|BI / Analytics | In this hands-on lab, participants will learn how to take advantage of the new geometry data type, which offers advanced spatial analysis capabilities and can improve the accuracy and precision of location-based applications. We will share performance optimization tricks that can be applied to enhance efficiency and speed of queries. The lab suits geospatial practitioners of all skill levels, from beginners to advanced developers, looking to learn about new Snowflake features and query optimization techniques. | Peter PopovSnowflakeSenior Software Engi |
https://events.snowflake.com/summit/sessions/agenda/session/1140450 | CO305: Collaborate or Die: Powering Marketing on Top of Snowflake Without Risking Mistakes | 01/07/2025 11:30 AM | #NAME? | (20 min) | Caesars Forum, East Theater D | Collaboration|Theater Session|Advanced|Technology|BI / Analyst|Product Manager|Data Engineering & Pipelines|Marketing Analytics|Powered by Snowflake | Data and marketing teams often work in silos, but the need for collaboration has never been greater. In this talk, we'll explore how to enable self-service data access on Snowflake for marketing use cases like personalization and audience management, while minimizing the chance of mishaps like sending an accidental email to millions of customers. Attendees will leave with a better understanding of how to collaborate effectively (and not die) and achieve data-driven success while avoiding customer catastrophes. | Jeff SloanCensusSr. Data Community A |
https://events.snowflake.com/summit/sessions/agenda/session/1116111 | WN211A: What's New: Apache Iceberg in the Data Cloud | 01/07/2025 11:30 AM | #NAME? | (45 min) | Caesars Palace, Augustus 3 | What's New|Breakout Session|Intermediate|All Industries|Data Engineer|IT / DBA|Software Developer|Technical Executive|Application Development|BI / Analytics|Community|Data Engineering & Pipelines|Data Lakes|Data Mesh|IT Operations|Migrations|Modernize Pipelines|Performance & Optimization|Powered by Snowflake|Governance & Compliance|AI/ML | Join us to hear the latest enhancements with Apache Iceberg, powering flexibility and open standards in the Data Cloud. This session will be recorded. | James MaloneSnowflakeDirector, Product MaRon OrtloffSnowflakeSenior Product Manag |
https://events.snowflake.com/summit/sessions/agenda/session/1167435 | MD230: How CrossFit Builds for the Future: From Legacy Architecture to a Modern Data Foundation | 01/07/2025 11:30 AM | #NAME? | (45 min) | Caesars Palace, Pompeian 1 | Modern Data Architectures|Breakout Session|Intermediate|All Industries|Data Engineer|Data Engineering & Pipelines | CrossFit has grown to become a global fitness leader, with trainers, affiliate gyms, and competitions all over the world. But its data stack wasn't built to scale. Two years ago, the fitness brand was struggling to access customer data from three separate business pillars using a messy legacy stack of MySQL databases and homegrown syncing scripts. It faced a challenge familiar to any team reckoning with data sins of the past: How do you leverage the architecture you have to achieve a better future state? In this session, CrossFit will share details of its ongoing evolution from siloed, batch-based system to integrated, event-driven architecture built on a foundation of Twilio Segment and Snowflake. Learn how, using a mix of current (MySQL, Fivetran, dbt) and next-generation (Segment's Reverse ETL) tools, the company has significantly improved global customer experiences in the present while building toward a best-in-class future based on a modern data foundation. | Jay MeyeringCrossFitSenior Manager, SoftKathryn MurphyTwilio SegmentVP, Product Manageme |
https://events.snowflake.com/summit/sessions/agenda/session/1146806 | DE220: Hands-On Lab: Getting Started with Snowpipe Streaming and Amazon MSK | 01/07/2025 11:30 AM | #NAME? | (2 hours) | Caesars Forum, Alliance 314 | Data Engineering|Hands-on-Lab|Intermediate|All Industries|Data Engineer|Software Developer|Data Engineering & Pipelines | Now, more than ever, enterprises are able to leverage massive amounts of data to provide value to their customers. However, many companies struggle to prepare large data sets for analytics, and they lack the capabilities to ingest real-time data to provide timely insights to customers.To learn how to create data applications using real-time data ingestion, join us for an instructor-led hands-on lab at Snowflake Summit. Follow along in your own Snowflake free-trial account and AWS account.During the session, you'll learn how to:- Ingest near real-time data sets into Snowflake using Amazon MSK and Snowpipe Streaming- Deploy a managed Kafka cluster in a virtual private cloud- Use Kafka producer and consumer to build a streaming pipeline- Integrate Snowpipe streaming SDK with Kafka consumer apps- Populate Snowflake tables with time-series data | Bosco AlbuquerqueAWSPartner Solutions ArJames SunSnowflakePartner Sales Engine |
https://events.snowflake.com/summit/sessions/agenda/session/1116107 | WN207A: What's New: Machine Learning with Snowflake | 01/07/2025 11:30 AM | #NAME? | (45 min) | Caesars Palace, Augustus 1 | What's New|Breakout Session|Intermediate|All Industries|Data Engineer|Data Scientist|Software Developer|Application Development|Data Engineering & Pipelines|AI/ML | Joins us to learn about the latest enhancements helping data scientists and ML engineers develop and productionize machine learning models natively in Snowflake. This session will be recorded. | Caleb BaechtoldSnowflakeML/AI Field CTOVenkat KrishnamurthySnowflakeSr Product Manager, |
https://events.snowflake.com/summit/sessions/agenda/session/1151417 | CO212: The Power of the Data Cloud: How Data Sharing Revolutionizes Ecosystems in the Cloud | 01/07/2025 11:30 AM | #NAME? | (45 min) | Caesars Palace, Julius 7 | Collaboration|Breakout Session|Intermediate|All Industries|BI / Analyst|Business Executive|Data Engineer|Data Scientist|DevOps|IT / DBA|Product Manager|Security Practitioner|Software Developer|Technical Executive|Data Buyers|Data Sharing & Collaboration | Data is the new currency in our modern business era. Join this power panel of leaders from Edward Jones, TIAA, and Carrier, hosted by EY, as we explore how to enable collaboration and data-driven decision-making by unlocking real-time access to shared data from anywhere and at any time. Dive into real-life examples that exemplify how cloud data sharing enables organizations to foster partnerships, streamline supply chains, enhance customer experiences, eliminate data duplication, and reduce storage costs and data inconsistencies. We will discuss how to securely share data with external stakeholders, such as suppliers, partners, or customers, allowing them to leverage the shared data for joint initiatives or personalized services. | Chad NolanEdward JonesPrincipal, Head of DHarish AroraErnst & Young LLPManaging Director, FOleg AspisTIAAManaging Director, ORenee ThomashowCarrier CorporationDirector, Materials |
https://events.snowflake.com/summit/sessions/agenda/session/1115944 | DE102: Instantly Access SaaS Data in the Data Cloud: ServiceNow, Google Analytics Native Connectors | 01/07/2025 11:30 AM | #NAME? | (45 min) | Caesars Forum, Academy 405 | Data Engineering|Breakout Session|Introductory|All Industries|Customer 360|Data Engineering & Pipelines|IT Operations|Marketing Analytics|Data Sharing & Collaboration | See how a Snowflake customer gets instant access to up-to-date ServiceNow and Google Analytics data in the Snowflake Data Cloud. They can set up, configure, and utilize Snowflake's native SaaS Connectors with just a few clicks via the Snowflake Marketplace. In this session, you'll learn how easy it is to get a day-zero load and incremental updates from an external SaaS application, at scale, with ease, leveraging Snowflake's built-in security, governance, and reliability capabilities. This session will be recorded. | Jakub PuchalskiSnowflakeSenior Product Manag |
https://events.snowflake.com/summit/sessions/agenda/session/1115981 | IN008: Powering the Future of ID-Based TV Advertising at Scale with OpenAP | 01/07/2025 11:30 AM | #NAME? | (45 min) | Caesars Palace, Julius 16 | Industry Impact|Breakout Session|Non-Technical|Media / Entertainment / Advertising|Technology|BI / Analyst|Business Executive|Data Engineer|Data Scientist|Product Manager|Technical Executive|Customer 360|Data Engineering & Pipelines|Data Mesh|Marketing Analytics|Data Sharing & Collaboration|Governance & Compliance|AI/ML | OpenAP is the media industry's leading advanced advertising company, co-owned by NBCUniversal, Warner Brothers Discovery, Fox, and Paramount. Powered by a standards-based approach, OpenAP centralizes data activation on behalf of premium national TV publishers making it possible for advertisers to seamlessly distribute audiences to all publishers regardless of platform for campaign planning, execution, and measurement. In this session, OpenAP's President of Product and Operations Ed Davis and SVP of Engineering Rohit Joshi will demonstrate how-together with Snowflake-we are simplifying secure access to data while simultaneously unlocking use of cross-platform data sets through planning, targeting, and measurement that is underpinned by a consistent OpenID. This session will be recorded. | Ed DavisOpenAPPresident of ProductRohit JoshiOpenAPSVP of Engineering |
https://events.snowflake.com/summit/sessions/agenda/session/1115877 | AA209A: Snowflake SQL Improvements | 01/07/2025 11:30 AM | #NAME? | (20 min) | Caesars Forum, Data Heroes Theater | Accelerating Analytics|Theater Session|Intermediate|All Industries|BI / Analyst|IT / DBA|Technical Executive|BI / Analytics|Marketing Analytics|AI/ML | The SQL improvements in Snowflake can't stop, won't stop. In the last year, we've enriched Snowflake SQL to make your queries shorter and easier to write. Join this session to learn more about new syntaxes and functions we've introduced and best practices on how to use them. This session will be recorded. | Felipe HoffaSnowflakeDeveloper AdvocateQinyi DingSnowflakeProduct Manager |
https://events.snowflake.com/summit/sessions/agenda/session/1115933 | CY201: A Transformation Story: Comcast's Security and Compliance Platform Built on Snowflake | 01/07/2025 11:30 AM | #NAME? | (45 min) | Caesars Forum, Academy 411 | Cybersecurity|Breakout Session|Intermediate|All Industries|Healthcare & Life Sciences|Technology|Telecom|BI / Analyst|Business Executive|Data Engineer|Data Scientist|DevOps|IT / DBA|Product Manager|Security Practitioner|Software Developer|Technical Executive|Application Development|BI / Analytics|Cybersecurity|Data Engineering & Pipelines|Data Lakes|Data Mesh|Migrations|Modernize Pipelines|Powered by Snowflake|Data Sharing & Collaboration|Governance & Compliance|AI/ML | Are you curious about how a Fortune 30 company utilized Snowflake for data science transformation for powerful security and compliance? Come learn about Comcast's story as a Snowflake for Cybersecurity customer and how that evolved into an enterprise-ready Powered by Snowflake governance application. First, we'll give an introduction to the application architecture, data flow, and integration with BI tools. Then, we'll show how security leaders can leverage an "executive view" of key metrics to understand the overall risk posture, as well as the ability for security engineers to drill down into more actionable details to support remediation efforts. Lastly, we'll share how you can use this approach to improve your organization's ability to centrally measure overall security hygiene, drive greater accountability across business units, and promote proactive approaches to controls monitoring. This session will be recorded. | Amish AminComcastExecutive Director SVip PatelComcastSr Director - Govern |
https://events.snowflake.com/summit/sessions/agenda/session/1115989 | IN016: Financial Services Data Cloud Overview: How Snowflake Connects a Fragmented Industry w/ Data | 01/07/2025 11:30 AM | #NAME? | (45 min) | Caesars Palace, Augustus 5 | Industry Impact|Breakout Session|Non-Technical|Financial Services|BI / Analyst|Business Executive|Data Engineer|Data Scientist|DevOps|IT / DBA|Product Manager|Security Practitioner|Software Developer|Technical Executive|Application Development|BI / Analytics|Cost Governance|Customer 360|Data Engineering & Pipelines|Data Lakes|Data Mesh|IT Operations|Maximize Economic Value|Migrations|Modernize Pipelines|Monetization|Performance & Optimization|Powered by Snowflake|Snowflake Marketplace|Snowgrid|Unistore|Data Sharing & Collaboration|DevOps|Governance & Compliance|AI/ML | Snowflake's Financial Services Data Cloud is enabling organizations to meet their full data potential by breaking down data silos, facilitating data collaboration, and powering data-critical business outcomes. In this session, join Snowflake executives and learn about how the Financial Services Data Cloud has helped asset managers, banks, insurance providers, and other ecosystem participants build their next generation data platform. Then, hear directly from industry leaders on how their organizations have partnered with Snowflake to power business use cases, collaborate with their customers in new ways, and connect more broadly with the financial services ecosystem. They will cover trends and common approaches to building an enterprise data strategy and how their organizations are leveraging data to unlock new revenue opportunities. This session will be recorded. | Ainslie SimmondsBNY Mellon / Pershing XPresident, Pershing Anu JainJP Morgan ChaseManaging Director, GDavid ConwayMorgan StanleyManaging DirectorRinesh PatelSnowflakeGlobal Head of Indus |
https://events.snowflake.com/summit/sessions/agenda/session/1116023 | MA206: NASCAR Fan Intelligence: Full Throttle in the Data Cloud | 01/07/2025 11:30 AM | #NAME? | (45 min) | Caesars Forum, Academy 416 | Marketing Analytics|Breakout Session|Intermediate|Media / Entertainment / Advertising|BI / Analyst|Data Engineer|Data Scientist|Technical Executive|Customer 360|Marketing Analytics|Data Sharing & Collaboration|AI/ML | Curious about how the Snowflake Data Cloud can empower consumer-facing brands' customer acquisition strategy? Join us on this session to learn about how NASCAR is mobilizing the Data Cloud to elevate their fan experience and derive meaningful customer intelligence on Snowflake. This session will be recorded. | Brendan TisseurSnowflakeSenior GTM LeadClay OwensbyNASCARDirector, Data and B |
https://events.snowflake.com/summit/sessions/agenda/session/1116027 | MA301: Probabilistic Matching in Customer Data Platforms | 01/07/2025 11:30 AM | #NAME? | (20 min) | Caesars Forum, East Theater C | Marketing Analytics|Theater Session|Advanced|All Industries|Data Scientist|Software Developer|Technical Executive|Application Development|Customer 360|Powered by Snowflake|AI/ML | Identity matching is a lynchpin of modern customer data platforms (CDPs), but data matching techniques have not evolved to keep pace with tech innovation. Deterministic matching is par for the course in most CDPs and limits the impact of bringing together disparate data sets. Snowflake and Streamlit allow us to deploy probabilistic algorithms and matching in our customer's Snowflake environment and increase the amount of data that can be stitched together. This session will demonstrate how these algorithms deployed in a Snowflake environment allow for greater revenue recognition and pinpoint stores and locations to optimize and increase customer intelligence. Attendees will learn how to solve a challenging record-linking problem using probabilistic matching algorithms. In this session, a Streamlit app will be presented that will demonstrate how these algorithms can be deployed on customer data and get increased matches based on precision, record link confidence, and other parameters that users can toggle for optimal matches. | Gayan De SilvaZeta GlobalDirector, Data ScienPavan KoradaZeta GlobalSVP Data Science & A |
https://events.snowflake.com/summit/sessions/agenda/session/1138748 | DE108: From Raw Data to Finished Insights Faster with Coalesce | 01/07/2025 11:30 AM | #NAME? | (25 min) | Caesars Forum, Industry Pavilion Theater South | Data Engineering|Theater Session|Introductory|Manufacturing|BI / Analyst|Business Executive|Modernize Pipelines | Join John Gontarz, Head of Solutions Architecture at Coalesce, as he explains how Coalesce automates and standardizes data transformations at scale, empowering manufacturing enterprises to land and transform data in Snowflake and easily build consistently updated, low-maintenance pipelines. As a result, data teams can work more productively on high-impact projects and generate fresher insights faster with Snowflake's Manufacturing Data Cloud. | John GontarzCoalesce.ioHead of Solutions Ar |
https://events.snowflake.com/summit/sessions/agenda/session/1138767 | ML221: DataRobot + Sony Interactive Entertainment: Level Up Your AI Lifecycle on the Data Cloud | 01/07/2025 11:30 AM | #NAME? | (20 min) | Caesars Forum, West Theater A | AI/ML|Theater Session|Intermediate|All Industries | This session is for any team that is looking to rapidly experiment with all the data in Snowflake to develop and productionize models in Snowpark for Python with streamlined governance. Hear how Sony Interactive Entertainment has built a modern, governed, end-to-end AI platform on the Data Cloud. Walk away from this session with a firm understanding of how to leverage Snowflake for collaboration among data teams, including hosting notebooks, creating a full system of record for all your AI artifacts, and automating and enforcing universal ML documentation and governance policies across your models. | Francisco FatoreSony Interactive EntertainmentSenior Machine LearnLisa AguilarDataRobotVP of Field CTOs andSimon NicoudSony Interactive EntertainmentSenior ML Engineerin |
https://events.snowflake.com/summit/sessions/agenda/session/1116039 | MD205A: Data Governance in a Data Mesh | 01/07/2025 12:00 PM | #NAME? | (45 min) | Caesars Forum, Academy 404 | Modern Data Architectures|Breakout Session|Intermediate|Technology|Security Practitioner|Data Mesh|Governance & Compliance | Organizations of all sizes want to be data-driven. To steer the organization, decision makers need timely data generated by supply partners, internal operations, and the industry ecosystem. Transforming the data landscape to become a data-driven organization comes with challenges. Join this session to learn about operating models of data governance in a data mesh. This session will be recorded. | Seth YoussefSnowflakeSecurity Field CTO |
https://events.snowflake.com/summit/sessions/agenda/session/1115901 | AD304: Under the hood: Snowflake Native App Framework | 01/07/2025 12:00 PM | #REF! | (45 min) | Caesars Forum, Academy 410 | Application Development|Breakout Session|Advanced|Financial Services|Data Engineer|Product Manager|Security Practitioner|Software Developer|Application Development|Cybersecurity|Modernize Pipelines|Snowflake Marketplace|Data Sharing & Collaboration|Governance & Compliance | The Snowflake Native App Framework enables you to build apps using Snowflake primitives, globally distribute them on the Snowflake Marketplace, and install and run them in end consumer's Snowflake accounts, reducing security and procurement hurdles. Join this technical deep dive to learn more about the Snowflake Native App Framework, see a live demo, and learn about design considerations. This session will be recorded. | Kevin McGinleySnowflakeTechnical Director, Scott GraySnowflakePrincipal Software E |
https://events.snowflake.com/summit/sessions/agenda/session/1120283 | CO208: How CloudZero Leverages Snowflake Secure Data Sharing to Find Efficient Product-Market Fit | 01/07/2025 12:00 PM | #REF! | (20 min) | Caesars Forum, West Theater B | Collaboration|Theater Session|Intermediate|All Industries|Business Executive|Product Manager|Security Practitioner|Technical Executive|Application Development|Cost Governance|Maximize Economic Value|Powered by Snowflake|Data Sharing & Collaboration | The amount of data available to create compelling and valuable product offerings have exploded in recent years. That data growth has brought great opportunities along with new architectural challenges. The companies that most efficiently create value have leveraged the cloud computing revolution to focus on rapid value iteration. To win in the next decade, organizations need to leverage the Data Cloud to collect, enhance, and share valuable data. CloudZero, a next-generation cloud cost intelligence platform, uses Snowflake Collaboration to quickly deliver value to end users and find repeatable product-market fit. This session will cover how sharing data on Snowflake kept teams lean, lessons learned from sharing billions of daily normalized items with end users, and how cloud costs were kept under control. | Bill BuckleyCloudZeroVP Product & Enginee |
https://events.snowflake.com/summit/sessions/agenda/session/1159794 | ML229: Scale and Operationalize AI with Snowflake and Azure Machine Learning | 01/07/2025 12:00 PM | #NAME? | (45 min) | Caesars Palace, Julius 5 | AI/ML|Breakout Session|Intermediate|All Industries|BI / Analyst|Business Executive|Data Engineer|Data Scientist|DevOps|IT / DBA|Product Manager|Security Practitioner|Software Developer|Technical Executive|Data Buyers|Application Development|BI / Analytics|Data Engineering & Pipelines|Data Lakes|Data Mesh|Maximize Economic Value|Modernize Pipelines|Performance & Optimization|AI/ML | AI model development relies on a robust foundation of data and data pipelines that ensure data is securely accessed, processed, and served to data-hungry machine learning (ML) models. This session will explore leveraging Azure Machine Learning with Snowflake to scale from tens to hundreds of models to get the highest return on your AI investments. We will also discuss the new product integrations between Azure Machine Learning and Snowflake that help customers seamlessly integrate and deploy ML models in Snowflake using Snowpark. | Amar BadalMicrosoftSenior ManagerShankar Narayanan SGSMicrosoftPrincipal Architect |
https://events.snowflake.com/summit/sessions/agenda/session/1138760 | AD205: Tech Deep Dive Build your Snowpark-Powered Products with DataOps.live and Snowflake | 01/07/2025 12:00 PM | #REF! | (20 min) | Caesars Forum, West Theater A | Application Development|Theater Session|Intermediate|Technology|Data Engineer|Data Scientist|DevOps|Software Developer|Technical Executive|Application Development|Data Engineering & Pipelines|Data Mesh|Maximize Economic Value|Modernize Pipelines|Powered by Snowflake|DevOps | Join Jeff Hollan (Director of Product at Snowflake) and Guy Adams (CTO at DataOps.live) for this one-of-a-kind deep dive session on Snowpark-powered Data Products and Streamlit apps with DataOps.live. Data Products have become the fundamental unit of organizing data. You may have heard about the large national bank where one customer data product powers nearly 60 use cases—ranging from real-time scoring of credit risk to chatbots that answer customers’ questions—delivering $60 million in incremental revenue and eliminating $40 million in losses annually (source: the Harvard Business Review).Too good to be true? Not for organizations using DataOps.live and Snowflake! DataOps.live’s optimized support for Snowpark means your data engineering teams can achieve 10X productivity.In this session you’ll learn how to build, test and deploy Data Products and Data Applications with a Cloud Development Environment with zero install and no dependency nightmares, to leverage a dedicated Snowflake dev environment just for you with no impact on others and to use a git workflow to safely promote your Data Products and Data Applications from development to test to production. Join this session to learn how to upgrade your Snowpark-powered Data Products and Data Applications developer experience with DataOps.live, using a logical step-by-step approach followed by a live demonstration, showcasing some of our real-life use cases and a fireside chat with Jeff and Guy. | Guy AdamsDataOps.liveCTO, DataOps.live an |
https://events.snowflake.com/summit/sessions/agenda/session/1115915 | MD224: Disney Parks Data Transformation Powered by the Data Cloud | 01/07/2025 12:00 PM | #NAME? | (45 min) | Caesars Forum, Alliance 304 | Modern Data Architectures|Breakout Session|Intermediate|Media / Entertainment / Advertising|BI / Analyst|Business Executive|Product Manager|Technical Executive|Modernize Pipelines|Monetization|Data Sharing & Collaboration | While companies have different motivations for modernizing their data strategy and platform, we all agree that investment in data is necessary and valuable. With the pace at which technologies are changing, it can be difficult to make the right decisions for your organization. By starting with a strong, foundational data strategy, you can choose the right tools and architecture to transform your business. Join this session to learn how Disney Parks is leveraging Snowflake to implement a modern data strategy and lead a multifaceted transformation to disrupt not only the technology, but also the culture of how engineering and business teams use and collaborate with data. This session will be recorded. | Rob SmedleyDisney Parks, Experiences and Vice President, Tech |
https://events.snowflake.com/summit/sessions/agenda/session/1140439 | DE114: Data Quality and Pipeline Reliability at Scale: Intro to Data Reliability Engineering (DRE) | 01/07/2025 12:00 PM | #NAME? | (20 min) | Caesars Forum, East Theater C | Data Engineering|Theater Session|Introductory|All Industries|BI / Analyst|Business Executive|Data Engineer|Data Engineering & Pipelines|Modernize Pipelines | The best data teams run highly reliable data pipelines and deliver high quality data to their organizations. How do they manage this in the face of constantly increasing pipeline complexity and demand for data? Exceptional uptime for services like Google, Stripe, and Zoom are possible thanks to Site Reliability Engineers (SREs) working to prevent outages and ensure reliability. The world's best data teams are already borrowing and applying the same methodologies. Learn about the emerging field of Data Reliability Engineering (DRE) in this talk by Kyle Kirwan, Uber's former data operations leader and founder of Bigeye, a data observability company. You'll hear a brief history of data quality, get a tour of techniques used by data teams running planet-scale data pipelines (like Uber, AirBnB, and Netflix), and learn the seven principles of DRE that allow these teams to maintain reliability without slowing down. | Kyle KirwanBigeyeCo-founder & CEO |
https://events.snowflake.com/summit/sessions/agenda/session/1140432 | MD109: Optimizing Snowflake with SqlDBM | 01/07/2025 12:00 PM | #NAME? | (20 min) | Caesars Forum, East Theater D | Modern Data Architectures|Theater Session|Introductory|Technology|Data Engineer|Modernize Pipelines|Performance & Optimization|Data Sharing & Collaboration | Join us to take a deeper look at SqlDBM's data modeling functionality to support the Snowflake Data Cloud. This powerful cloud-native data modeling tool enables easy and efficient database modeling, design, and management for Snowflake users. Take a first-hand look at how to use SqlDBM's intuitive interface to create and modify your Snowflake database schema, generate SQL scripts, and collaborate with your team in real time. Whether you're a seasoned Snowflake user or new to the platform, this session will provide valuable insights and practical tips for improving your data management workflows. | |
https://events.snowflake.com/summit/sessions/agenda/session/1116068 | ML214: How to Increase Marketing Campaign Conversion Whilst Reducing Spend by 17% | 01/07/2025 12:00 PM | #NAME? | (45 min) | Caesars Palace, Julius 19 | AI/ML|Breakout Session|Intermediate|Telecom|Data Scientist|AI/ML | Spark New Zealand will share with you how they have built an AI Powered Decisioning Engine for Next Best Action based on a Digital Twin Architecture, automating 70% of marketing campaigns to deliver personalization at scale and create a sustainable competitive advantage. Leveraging AI and ML on Snowflake to speak to the right customer, at the right time and about the right thing, Spark's personalized marketing approach has contributed towards improved customer satisfaction whilst increasing revenues. Spark will demonstrate the Unified Marketing Platform they have built that has driven the increase in Customer Lifetime Value. In the global challenge for recruiting and retaining talent, Spark New Zealand will also cover their success in uniting people around a common purpose and executing on a compelling vision to solve meaningful problems. This session will be recorded. | Kallol DuttaSparkSpark Business GroupNick HarreSpark NZCommercial Data Chap |
https://events.snowflake.com/summit/sessions/agenda/session/1115983 | IN010: Moving from Data Insight to Data Action in Higher Education | 01/07/2025 12:00 PM | #NAME? | (45 min) | Caesars Forum, Academy 418 | Industry Impact|Breakout Session|Non-Technical|Public Sector|BI / Analyst|Business Executive|IT / DBA|Technical Executive|Application Development|BI / Analytics|Cost Governance|Cybersecurity|Data Mesh|IT Operations|Migrations|Performance & Optimization|Snowflake Marketplace|Data Sharing & Collaboration|Governance & Compliance|AI/ML | Many colleges and universities have accelerated their data modernization journey to enable their faculty, staff, and students to have access to real-time data. The diverse nature of data collection points and silos, along with highly networked sharing needs, can make this a daunting task. This shift is compounded by the fact that many higher education institutions desire action on data-driven results sooner to accelerate innovation, evaluate strategic priorities, and inform student success. During this interactive session, hear from a panel of experts from Auburn University and Vanderbilt University as they discuss their motivations for change and share experiences moving from data insight to data action and the impact on students, faculty, alumni, and the overall institutional community. This session will be recorded. | Charles HuntAuburn UniversityDirector, EnterpriseOlivia Kew-FickusVanderbilt UniversityChief Data OfficerWinston ChangSnowflakeCTO, Global Public S |
https://events.snowflake.com/summit/sessions/agenda/session/1140434 | MD215: Engineers Shouldn't Write Data Governance Policies | 01/07/2025 12:00 PM | #NAME? | (45 min) | Caesars Palace, Julius 13 | Modern Data Architectures|Breakout Session|Intermediate|All Industries|Retail / CPG|Business Executive|Data Engineer|Software Developer|Technical Executive|Cybersecurity|Data Engineering & Pipelines|Data Sharing & Collaboration|Governance & Compliance | Controlling permissions for accessing data assets can be messy, time consuming, and usually a combination of both. The teams responsible for creating the business rules that govern who should have access to what data are usually different from the teams responsible for administering the grants to achieve that access. On the other side of the equation, the end user who needs access to a data asset may be left waiting for grants to be made as the decision is passed between teams-that is, if they even know the correct path to getting access in the first place. Separating the concerns of managing data governance at a business level and implementing data governance at an engineering level is the best way to clarify data access permissions. In practice, this involves building systems to enable data governance enforcement based on business rules, with little to no understanding of the individual system where the data lives. This session will be recorded. | Kieran TaylorInstacartSenior Software Engi |
https://events.snowflake.com/summit/sessions/agenda/session/1138736 | AA001: Beat the IT Ticket Backlog: AI-Powered Analytics for Snowflake and ServiceNow | 01/07/2025 12:00 PM | #REF! | (25 min) | Caesars Forum, Industry Pavilion Theater North | Accelerating Analytics|Theater Session|Non-Technical|Technology | Your IT team is the lifeblood of your organization, from incident response to program rollouts and everything in between. Response time matters, but you can't measure what you can't see. Join this session to see how ThoughtSpot's AI-powered analytics template for ServiceNow pairs with Snowflake's new ServiceNow Connector to give you a holistic view of your entire IT operations and to minimize inefficiencies across even the most complex IT environments. Plus, hear how Snowflake CIO/CDO Sunny Bedi uses it to decrease his IT backlog and spends 20% more time on transformational initiatives. | Ms. Maggie O'NeillThoughtSpotDirector of Product |
https://events.snowflake.com/summit/sessions/agenda/session/1115956 | DE206A: Fast Ingest with Snowflake | 01/07/2025 12:00 PM | #NAME? | (45 min) | Caesars Forum, Academy 415 | Data Engineering|Breakout Session|Intermediate|All Industries|Data Engineer|DevOps|Product Manager|Software Developer|Application Development|Data Engineering & Pipelines|DevOps | Learn how to load data into Snowflake faster. This will be a tour of the speed and efficiency of different ingest patterns and technologies. In this session, you'll learn best practices and patterns for Snowpipe, Snowpipe Streaming, COPY from external and internal stages, and the Kafka Connector. This session will be recorded. | Brad CulbersonSnowflakeData Platform ArchitDmytro YaroshenkoSnowflakeField CTO |
https://events.snowflake.com/summit/sessions/agenda/session/1115955 | DE205: CI/CD with Snowflake Using Snowpark by Power Digital | 01/07/2025 12:00 PM | #NAME? | (20 min) | Caesars Forum, Data Heroes Theater | Data Engineering|Theater Session|Intermediate|All Industries|Media / Entertainment / Advertising|Data Engineer|DevOps|Application Development|Customer 360|Data Engineering & Pipelines|Marketing Analytics|DevOps | By leveraging a configuration-based approach, Power Digital Marketing's engineering team developed an approach to continuously integrate with and deploy to Snowflake leveraging Snowpark. In this session, you'll learn how Snowpark has enabled Power Digital Marketing to build an internal tool for deploying schemas, tables, pipes, Python stored procedures, and other Snowflake objects from local machines or CI/CD pipelines. This session will be recorded. | Jamie SchieselPower DigitalVP of EngineeringXavier MartinezPower DigitalSenior Data Engineer |
https://events.snowflake.com/summit/sessions/agenda/session/1116088 | OS208: Snowgrid: What's New in Cross-Cloud Business Continuity | 01/07/2025 12:00 PM | #NAME? | (45 min) | Caesars Palace, Neopolitan 1 | Operating & Optimizing Snowflake|Breakout Session|Intermediate|All Industries|Business Executive|IT / DBA|Technical Executive|Snowgrid | Snowgrid is Snowflake's uniquely differentiated technology layer that interconnects your business's ecosystems across regions and clouds so you can operate at global scale. Come learn more about the newest cross-cloud business continuity capabilities that are part of Snowgrid and how customers are leveraging them for resiliency and disaster recovery. This session will be recorded. | Sid RamadossSnowflakeProduct ManagerSudha GullapalliDTCCAssociate Director, |
https://events.snowflake.com/summit/sessions/agenda/session/1138727 | DE109: The Postmodern Data Stack-Where Do We Go from Here? | 01/07/2025 12:30 PM | #REF! | (25 min) | Caesars Forum, Industry Pavilion Theater South | Data Engineering|Theater Session|Introductory|All Industries|Data Engineer|Technical Executive|Data Engineering & Pipelines | If the modern data stack were an artist, it would probably be Picasso. There are lots of interesting things going on ... and many of them are fragmented, out of sequence, and impossible to replicate at scale. At Ascend, we're building the postmodern data stack. What do we mean by that? It starts with intelligence. Pipelines that know more than just your transformation logic. They know all of the context surrounding your dataflows as well. They can detect changes in the Data Cloud before you do, and they know how to respond to them to keep everything running. Imagine what you could do with intelligent pipelines that require 90% less maintenance and allow you to leverage all of your data in Snowflake. Join us to learn how you can start building your postmodern data stack on Snowflake and Ascend today. | Mr. Tom WeeksAscend.ioCOO |
https://events.snowflake.com/summit/sessions/agenda/session/1115928 | CY102: Security Leader Panel: Bringing Cyber and Data Teams Together for Good | 01/07/2025 12:30 PM | #REF! | (45 min) | Caesars Forum, Academy 405 | Cybersecurity|Breakout Session|Introductory|All Industries|Financial Services|Healthcare & Life Sciences|Manufacturing|Media / Entertainment / Advertising|Public Sector|Technology|Telecom|BI / Analyst|Business Executive|Data Engineer|Data Scientist|IT / DBA|Security Practitioner|Technical Executive|Application Development|BI / Analytics|Community|Cost Governance|Cybersecurity|Data Engineering & Pipelines|Data Lakes|Data Mesh|IT Operations|Maximize Economic Value|Migrations|Modernize Pipelines|Performance & Optimization|Powered by Snowflake|Snowflake Marketplace|Unistore|Data Sharing & Collaboration|Governance & Compliance | In this panel, CISOs and CIOs will discuss how they can design an effective data strategy involving collaboration between cybersecurity and data orgs. This session will highlight particular approaches, use cases, and outcomes to encourage and inspire others in the security data lake journey. This session will be recorded. | Alvina AntarOktaCIOOmer SingerSnowflakeHead of CybersecuritPrabhath (PK) KaranthNavanGlobal Head of Secur |
https://events.snowflake.com/summit/sessions/agenda/session/1151431 | CO210: Salesforce and Snowflake Data Sharing: Bring Real-Time Data to Power Your Customer 360 | 01/07/2025 12:30 PM | #REF! | (20 min) | Caesars Forum, East Theater D | Collaboration|Theater Session|Intermediate|All Industries|Data Engineer|Product Manager|Technical Executive|BI / Analytics|Customer 360|Data Engineering & Pipelines|Modernize Pipelines|Data Sharing & Collaboration | Salesforce and Snowflake partner to enable zero copy data sharing innovation, enabling customers to unlock more value from their data. The deepening of the partnership between our two companies helps customers securely collaborate with data in real time between Salesforce and Snowflake, minimizing the risks, costs, and headaches from traditional sync methods. | Sandeep AulakhSalesforceEnterprise Architect |
https://events.snowflake.com/summit/sessions/agenda/session/1115887 | AD002: Build an App for That: The Next Big Opportunity for Data Entrepreneurs | 01/07/2025 12:30 PM | #REF! | (20 min) | Caesars Forum, Data Heroes Theater | Application Development|Theater Session|Non-Technical|Financial Services|Media / Entertainment / Advertising|Technology|BI / Analyst|Data Engineer|Data Scientist|Product Manager|Security Practitioner|Software Developer|Application Development|Community|Monetization|Snowflake Marketplace|Data Sharing & Collaboration | For decades, to build a successful enterprise data product, entrepreneurs needed more than a good idea-they needed access to capital, a big team, and to be committed to spending years building a product and a business. Data platforms like Snowflake are changing this. By making it easier to create and distribute data apps, they're opening up an entirely new type of market for data technologies. Like iPhone app developers, data entrepreneurs no longer need to raise millions of dollars to launch a product or reach customers, and small teams can now deliver enormous value to expansive audiences of customers. I've spent the last ten years talking to data teams about the products they want. In this talk, I'll share what they've told me and identify areas where there's space for a new tool or app(s) that can now be built directly inside of Snowflake. This session will be recorded. | Benn StancilModeCTO |
https://events.snowflake.com/summit/sessions/agenda/session/1138765 | AA108: Lumin + Snowpark + GPT = Unlocking the Potential of Accelerated Decision-Making | 01/07/2025 12:30 PM | #REF! | (20 min) | Caesars Forum, West Theater A | Accelerating Analytics|Theater Session|Introductory|All Industries|BI / Analyst|Business Executive|Technical Executive|BI / Analytics|Marketing Analytics|Monetization|Performance & Optimization|Data Sharing & Collaboration | Decision intelligence is helping businesses accomplish more with less by optimizing data analytics, AI, and machine learning for better decision-making. The integration of decision intelligence with GPT can enhance the latter's natural language processing capabilities, creating a powerful tool for analyzing and interpreting data. Attend this session to learn more about Lumin, Fosfor's decision intelligence product, which is powered by Snowpark and GPT. The session will showcase how Lumin has been driving business outcomes at speed and at scale through practical examples. Attendees will learn how Lumin can be integrated with an organization's existing tech stack to enable decision makers to generate insights from enterprise data sets, at high speed with Snowpark, delivering contextual natural language responses via Lumin's GPT integration. The session is perfect for business leaders and insight practitioners who are interested in harnessing the power of decision intelligence in their Snowflake data ecosystem. | Debasis SatpathyFosfor by LTIMindtreeChief Business Offic |
https://events.snowflake.com/summit/sessions/agenda/session/1115946 | DE104: How Warner Brothers Accelerated Data SLAs with the Snowpipe Streaming API | 01/07/2025 12:30 PM | #REF! | (45 min) | Caesars Forum, Academy 411 | Data Engineering|Breakout Session|Introductory|Media / Entertainment / Advertising|Data Engineer|Data Engineering & Pipelines|Modernize Pipelines|Performance & Optimization|DevOps | To support Warner Brothers Discovery's key mission of delighting users, the data platform team collects approximately 2 billion clickstream data points a day (with spikes of up to 20 billion days) from client applications. This powers AI, analytics, business intelligence, and machine learning. These pipelines are based on hourly batch processing and use the Snowpipe Streaming API. With updates to the data platform team's server-side processing, they deliver cleaned deduplicated clickstream data with a sub-minute latency. In this session, you'll hear key learnings from their POC and architecture iterations they're working through. This session will be recorded. | Alex SoverWBDSoftware EngineeringChris MorganWarner Bros. DiscoveryPrincipal Software E |
https://events.snowflake.com/summit/sessions/agenda/session/1140845 | CO108: Snowflake Data Sharing - An innovative approach to securely scale up collaboration | 01/07/2025 12:30 PM | #REF! | (45 min) | Caesars Palace, Julius 23 | Collaboration|Breakout Session|Introductory|All Industries | In an era when data and insights are driving exponential business value, organizations can no longer afford to remain in a silo with respect to their data and analytics insights. An ecosystem is always stronger than each participant in the ecosystem. All participants within a data collaboration ecosystem generate additional exponential value by sharing data insights among themselves. Snowflake Marketplace and data sharing features enable that collaboration in a governed and secure way while optimizing on infrastructure cost. It allows organizations to share sensitive information both internally (within the organization) and externally while ensuring data privacy, security, and compliance, thus significantly reducing the risk of non-compliance with respect to strict regulations around sensitive data. It also provides capabilities to govern, audit, and measure the solution usage and its metrics proactively and continuously. In this session, we will share how we are leveraging Snowflake Marketplace and data sharing features to collaborate with external partners to reduce time to innovation, while developing advanced data engineering and machine learning models by combining organization's internal Snowflake data and licensed data from Snowflake Marketplace. In this session, attendees will learn: - How we are scaling up data collaboration across the ecosystem of external and internal stakeholders - What the core components of a data collaboration reference architecture are - How Snowflake features bring these components together to implement the use case - How we address data security and privacy in the architecture - How we are designing the governance framework to address audit-ability and observability - What we have learned while implementing the solution leveraging Snowflake This session will be recorded. | Ari ChatterjeeAmeriprise Financial ServicesGlobal Head of InnovRajib DebDeloitte Consulting LLPSpecialist Leader fo |
https://events.snowflake.com/summit/sessions/agenda/session/1116007 | IN102: Building a Data Culture at Coca-Cola Bottlers Japan | 01/07/2025 12:30 PM | #NAME? | (20 min) | Caesars Forum, Industry Pavilion Theater North | Industry Impact|Theater Session|Introductory|Manufacturing|Retail / CPG|Technology|BI / Analyst|Business Executive|Data Engineer|Data Scientist|DevOps|IT / DBA|Product Manager|Security Practitioner|Software Developer|Technical Executive|BI / Analytics|Cost Governance|Data Engineering & Pipelines|Data Lakes|Data Mesh|IT Operations|Maximize Economic Value|Migrations|Modernize Pipelines|Performance & Optimization|Snowgrid|DevOps|Governance & Compliance|AI/ML | CPG companies have a lot of high-potential data, but many lack a critical mass of technically competent, data literate workers needed to unlock it. This is particularly common in Japan, and so it was for Coca-Cola Bottlers Japan when we began our journey. In this session we will share the specific problems we faced, how focusing on reporting automation and user support helped us build trust, disseminate knowledge, and identify potential super users, and how we leveraged Snowflake Professional Services to establish a solid architecture for simplicity, speed and growth. | Michael BekiaresCoca-Cola Bottlers JapanHead of Commercial DRyusuke NikiSnowflakeSenior Solutions Arc |
https://events.snowflake.com/summit/sessions/agenda/session/1116042 | MD208: How Apache Iceberg and Snowflake Enable a Polyglot Data Platform | 01/07/2025 12:30 PM | #NAME? | (45 min) | Caesars Palace, Julius 16 | Modern Data Architectures|Breakout Session|Intermediate|Technology|Data Engineer|Data Mesh | In today's data-driven world, the key to success is a polyglot data platform, widely known as data mesh, which enables agility and flexibility when integrating and sharing data across the enterprise in a self-service manner. Pairing Apache Iceberg with Snowflake is a compelling solution for strengthening the data mesh. Iceberg brings the advantages of a high-performance, open-source storage format accessible via multiple query engines, and Snowflake brings enterprise-level management and advanced features. The result is a data mesh that serves all business lines and provides fast and secure access to data, all of which lead to better decision-making, increased efficiency, and reduced costs. Come hear how this winning combination can be the foundation of your data mesh. This session will be recorded. | Ed CarlosT Rowe PriceHead of Enterprise D |
https://events.snowflake.com/summit/sessions/agenda/session/1151429 | OS001: Operational Cockpit: Accenture's framework for understanding Snowflake cost and usage | 01/07/2025 12:30 PM | #NAME? | (20 min) | Caesars Forum, East Theater C | Operating & Optimizing Snowflake|Theater Session|Non-Technical|All Industries|Business Executive|Performance & Optimization | Accenture has implemented cost governance and optimization models for many large Snowflake customers. Insightful analyses and calibration have often resulted in savings from 30 to 50%. Core to these exercises is Operation Cockpit, Accenture's framework for managing, monitoring, and maintaining Snowflake environments. Operation Cockpit augments Snowflake's meta data with a strong semantic layer, enhanced by tags, automated by python scripts, and visualized through Streamlit/PowerBI. In this session Accenture will provide a walk-through of the framework and an overall approach for cost governance. | Srini NachinarkiniarAccentureManaging Director - |
https://events.snowflake.com/summit/sessions/agenda/session/1138770 | DE110: Learning to Love dbt at Hubspot | 01/07/2025 12:30 PM | #REF! | (45 min) | Caesars Palace, Julius 7 | Data Engineering|Breakout Session|Introductory|Technology|BI / Analyst|Data Engineer|IT / DBA|Data Engineering & Pipelines|Modernize Pipelines|Performance & Optimization | Kasey Mazza at HubSpot wasn't always a dbt evangelist. In fact, she voted "absolutely not" when HubSpot was deciding whether to invest in dbt Cloud. Less than 12 months later, Kasey and her team have proposed a long-term data strategy based entirely on dbt. In this talk, you'll learn more about the dbt implementation at HubSpot, what went wrong, and how you can avoid the same pitfalls when adopting new technologies across your organization. This session will be recorded. | Kasey MazzaHubspotSenior Manager, Anal |
https://events.snowflake.com/summit/sessions/agenda/session/1140429 | MD219: Every Data, Everywhere, All At Once with DIRECTV | 01/07/2025 12:30 PM | #NAME? | (45 min) | Caesars Palace, Pompeian 1 | Modern Data Architectures|Breakout Session|Intermediate|Media / Entertainment / Advertising|Data Engineer|Product Manager|BI / Analytics|Data Mesh|Data Sharing & Collaboration|Governance & Compliance | DIRECTV faced an epic challenge: moving its vast legacy data landscape to the Snowflake Data Cloud. They cast Alation in the starring role. With Alation, DIRECTV's data leaders have gained metadata superpowers, enabling them to build a cloudy data mesh. Today, that mesh activates deluges of DIRECTV data to ensure it is governed, discoverable, shared, and high quality. Join this session to learn how the award-winning Alation data intelligence platform allows the DIRECTV CDO Data Governance team to focus on data discovery, a data hub strategy, and data products. No longer mired in a cloud complexity crisis, they can empower all DIRECTV data teams to unleash their own data superpowers. This session will be recorded. | Jack PurvisDIRECTVSenior Director, ChiJoe ConardDIRECTVPrincipal Big Data ETodd BeaucheneAlationDirector of Partner |
https://events.snowflake.com/summit/sessions/agenda/session/1115982 | IN009: How Siemens AG Built an Enterprise-Wide Data Mesh Architecture on Snowflake to Enable Scalable Supply Chain Use Cases | 01/07/2025 12:30 PM | #REF! | (45 min) | Caesars Forum, Academy 416 | Industry Impact|Breakout Session|Non-Technical|Manufacturing|BI / Analyst|Business Executive|Data Engineer|Data Scientist|DevOps|IT / DBA|Product Manager|Technical Executive|BI / Analytics|Data Engineering & Pipelines|Data Lakes|Data Mesh|Maximize Economic Value|Modernize Pipelines|Performance & Optimization|Supply Chain|Data Sharing & Collaboration|AI/ML | In this session, learn how Siemens AG, a leading manufacturing company, built an innovative and flexible data mesh architecture with Snowflake to execute trillions of data transactions in near real time every day, and innovated the data & AI ecosystem. You will also get a glimpse into how Siemens Digital Industries uses this data architecture to identify risks related to supply of materials across several of its plants, and how the company developed an automated safety stock planning process, integrating data between ERP and local quality systems on Snowflake to optimize inventory levels and reduce stockout risks. This session will be recorded. | Christian MeyerSiemens AGHead of Cloud OperatDavid ReindlerSiemens AGIT Team LeadRebecca FunkSiemens AGIT Partner |
https://events.snowflake.com/summit/sessions/agenda/session/1138744 | IN202: Generating Value from Complex Healthcare Data with Snowflake | 01/07/2025 12:30 PM | #NAME? | (20 min) | Caesars Forum, West Theater B | Industry Impact|Theater Session|Intermediate|Healthcare & Life Sciences|Technical Executive|Performance & Optimization|AI/ML | Today's healthcare systems are as much digital as they are physical. There is a constant electronic pulse of diagnostic data, billing codes, orders, results, and vitals for each patient, often generated by disparate sources. In this presentation, we will demonstrate the art of the possible by sharing architectures for processing two common data formats used in healthcare: HL7 and X12 EDI. The HL7 framework provides a standard to transmit data between systems, allowing for true interoperability. By harnessing the power of the Snowflake Healthcare & Life Sciences Data Cloud, you can enable limitless possibilities in analytics, decision support, and machine learning. This maximizes the benefit of HL7 data, leading to operational efficiency, increased revenue, and improved patient care. We will discuss an architecture that allows for near real-time data streaming of your HL7 data from multiple systems into your reporting tools, AI models, domain-specific data marts, and API connections. X12 EDI is used in healthcare for the electronic exchange of administrative and financial transactions between healthcare providers, payers, and other entities involved in the healthcare ecosystem. These transactions include claims, remittance advice, eligibility and benefit inquiries, and healthcare payment and remittance advice. This presentation will cover the challenges faced by a multi-state group practice in the complex claims adjudication process. The underlying X12 EDI data was difficult to structure in a usable fashion, leading to frequent claims denials and service substitutions from certain payers, resulting in a significant impact on revenue. This session will cover the benefits of leveraging Snowflake as a data platform for the ingestion and processing of complex data, enabling organizations to gain deeper insights and make more informed decisions. To that end, we will explain how Snowflake provided a foundation for machine learning models and decision support rules to be built into the provider workflows to reduce claim errors upfront. | John NowakPhDataSenior Solutions Arc |
https://events.snowflake.com/summit/sessions/agenda/session/1140440 | MD108: How J&J Innovated Their Architecture to Automate Process & Empower Their Analytics Ecosystem | 01/07/2025 12:30 PM | #NAME? | (45 min) | Caesars Forum, Alliance 305 | Modern Data Architectures|Breakout Session|Introductory|All Industries|BI / Analyst|Business Executive|Data Engineer|DevOps|Product Manager|Technical Executive|BI / Analytics|Customer 360|Data Engineering & Pipelines|Performance & Optimization|Data Sharing & Collaboration|DevOps|Governance & Compliance | Discover how Johnson & Johnson's Pharma Commercial organization in EMEA is leveraging Snowflake to modernize and streamline their data architecture. By implementing a new architecture, they have reduced analytics time to market, increased agility with the adoption of automated DataOps processes, and achieved stronger data quality through the use of a quality validation framework. This innovative architecture also enhances data accessibility and understandability by integrating automated documentation, lineage, and data catalog, providing the power user community with a federated build that maintains consistent governance and processes across functions and geographies. Additionally, the team will showcase their modern approach to sharing PII Type 3 data with both internal and external partners. Join us to learn more about how Johnson & Johnson's innovative data architecture can benefit your organization, from improved analytics capabilities to stronger data quality and accessibility. This session will be recorded. | Alba TurrionSDG GroupExecutive ManagerBart VandendriesscheJohnson & JohnsonManager, Global DataEmilio GomezJanssen Europe, Middle East & Data and Insights IT |
https://events.snowflake.com/summit/sessions/agenda/session/1116106 | WN206A: What's New: Snowpark and DevOps | 01/07/2025 01:00 PM | #NAME? | (45 min) | Caesars Palace, Augustus 1 | What's New|Breakout Session|Intermediate|All Industries|Data Engineer|Data Scientist|DevOps|Software Developer|Application Development|Data Engineering & Pipelines|Modernize Pipelines|DevOps|AI/ML | Join us to learn about the latest innovations to support even more end-to-end development in Snowflake, including Snowpark enhancements and new DevOps capabilities. This session will be recorded. | Jason FreebergSnowflake / SnowparkProduct ManagerSri ChintalaSnowflakeSenior Product Manag |
https://events.snowflake.com/summit/sessions/agenda/session/1115974 | IN001: How Citi Is Revolutionizing Institutional Client Experiences & Transforming AML Capabilities | 01/07/2025 01:00 PM | #REF! | (45 min) | Caesars Forum, Academy 404 | Industry Impact|Breakout Session|Non-Technical|Financial Services|BI / Analyst|Business Executive|Data Engineer|Data Scientist|DevOps|IT / DBA|Product Manager|Software Developer|Technical Executive|Application Development|BI / Analytics|Customer 360|Data Engineering & Pipelines|Modernize Pipelines|Snowflake Marketplace|Data Sharing & Collaboration|DevOps|Governance & Compliance|AI/ML | Citi provides securities services to the world's largest institutional investors and insurance providers-all of whom expect a frictionless end-to-end client experience from onboarding to accessing securities management insights and capabilities. And as one of the world's largest banks, Citi processes over 4 trillion transactions per day and must provide customer-focused decision intelligence capabilities that enable proactive risk detection, with an improved client experience. Hear from senior executives on how Citi is building dynamic detection capabilities (AML 360) that generate contextual, data-driven insights for enhanced KYC/AML risk management, and learn how Citi is transforming the asset servicing workflow with faster analytics, easier data sharing, and modern data collaboration capabilities. This session will be recorded. | Joe BonannoCitigroupGlobal Head of Data,Scott NathanCitigroupGlobal Head of AML D |
https://events.snowflake.com/summit/sessions/agenda/session/1138741 | AA215: Accelerate ESG Embedding in Financial Services with Dataiku | 01/07/2025 01:00 PM | #REF! | (25 min) | Caesars Forum, Industry Pavilion Theater North | Accelerating Analytics|Theater Session|Intermediate|Financial Services|BI / Analytics|Generative AI & LLM | Environmental, Social and Governance (ESG) is the most transformational trend reshaping the financial industry. Growing and quickly evolving regulations, investor and customer demand and proven materiality of climate change are among the factors requesting banks, insurance companies, asset managers and other financial players to take action. In this session you will understand the critical importance of agile analytics to win the race to ESG, understand how AI in all its shades - from machine learning to LLM - can play a critical role at different steps of the value chain, and how Dataiku's capacity to foster collaboration, speed analytic pipelines and model development and ease data blending a fully governed way are critical assets. | Sophie DionnetDataikuGM, Dataiku Business |
https://events.snowflake.com/summit/sessions/agenda/session/1115911 | CO106: Panel: Innovating with New Monetization and Delivery Models of Data and Apps on Snowflake | 01/07/2025 01:00 PM | #REF! | (45 min) | Caesars Forum, Academy 410 | Collaboration|Breakout Session|Non-Technical|All Industries|Business Executive|Product Manager|Data Buyers|Application Development|Monetization|Powered by Snowflake|Snowflake Marketplace|Data Sharing & Collaboration|Generative AI & LLM|AI/ML | In this panel discussion, Marketplace Principal Tom Gray will be joined by financial market data provider FactSet, application provider My Data Outlet, and Snowflake-backed data provider Cybersyn to discuss how they are innovating in provisioning and monetization of their products on Snowflake Marketplace. Attendees will gain insights into how established providers and newcomers alike can leverage Snowflake Marketplace to realize new monetization models and better serve their customers with live, ready-to-use data and applications. This session will be recorded. | Alex IzydorczykCybersynFounder and CEOCalvin HoFactSetVP, Channel Partner Patrick HowerterMy Data OutletCEOThomas GraySnowflakeMarketplace Principa |
https://events.snowflake.com/summit/sessions/agenda/session/1159782 | MD118: How Autodesk Activates Their Data Mesh with Snowflake and Atlan | 01/07/2025 01:00 PM | #NAME? | (45 min) | Caesars Palace, Julius 19 | Modern Data Architectures|Breakout Session|Introductory|All Industries|Business Executive|Data Engineer|DevOps|IT / DBA|Data Mesh|Governance & Compliance | Autodesk's 60 data teams, each with its own distinct ownership model and data quality responsibilities, presented massive challenges when it came to scaling data collaboration and governance. Join Mark Kidwell, Chief Data Architect (Data Platforms and Services) at Autodesk, and the Atlan team, to learn how Autodesk is using Atlan's active metadata platform to build the data mesh that's right for Autodesk. | Austin KronzAtlanDirector of Data StrMark KidwellAutodeskChief Data Architect |
https://events.snowflake.com/summit/sessions/agenda/session/1138773 | IN203: Establishing Migration Factory for Next-Gen Data Product Delivery: Migrating to Snowflake | 01/07/2025 01:00 PM | #REF! | (45 min) | Caesars Palace, Julius 13 | Industry Impact|Breakout Session|Introductory|All Industries|Financial Services|BI / Analyst|Business Executive|Data Engineer|Data Scientist|DevOps|IT / DBA|Product Manager|Technical Executive|Application Development|BI / Analytics|Cost Governance|Data Engineering & Pipelines|Data Lakes|Data Mesh|IT Operations|Maximize Economic Value|Migrations|Modernize Pipelines|Performance & Optimization|Governance & Compliance|AI/ML | Business lifecycle delays, capacity issues and bottlenecks can arise from On-Prem Databases, data pipelines and architectures, especially with large enterprise having complex ecosystems. Please join with us to learn how JPMC empowering their business by delivering the Next-Gen Data products at scale, by establishing an innovative Migration Factory Model with Data & Intelligence accelerators partnering with Snowflake and Cognizant. We will discuss the differentiated Factory Model Approach to build a modern robust data platform accelerated by JPMC Frameworks, Cognizant's Data and Intelligence Toolkit and Snowflake's SnowConvert. This session will be recorded. | Paul NeedlemanSnowflakeSenior Solutions ArcRam GuttaJP Morgan ChaseExecutive DirectorSandeep Kumar PachunuruCognizant Technology SolutionsChief Architect - DaSivakumar ShanmugamCognizant Technology SolutionsChief Architect - Sn |
https://events.snowflake.com/summit/sessions/agenda/session/1116101 | WN201A: What's New: Snowflake Compute Infrastructure | 01/07/2025 01:00 PM | #NAME? | (45 min) | Caesars Palace, Augustus 3 | What's New|Breakout Session|Intermediate|All Industries|Data Engineer|Data Scientist|DevOps|Software Developer|Application Development|Data Engineering & Pipelines|Modernize Pipelines|DevOps|Generative AI & LLM|AI/ML | Join us to learn about the latest Snowflake platform innovation to provide developers with enhanced flexibility to work and build with data. This session will be recorded. | Miles AdkinsSnowflakeData Cloud PrincipalMuzz ImamSnowflakeSenior Product ManagPierre De BelenGoldman SachsManaging Director & |
https://events.snowflake.com/summit/sessions/agenda/session/1159785 | AD207: Fighting Cancer with Snowflake: A Data App Success Story | 01/07/2025 01:00 PM | #REF! | (45 min) | Caesars Palace, Julius 5 | Application Development|Breakout Session|Intermediate|All Industries|Healthcare & Life Sciences|Business Executive|Data Engineer|Data Scientist|Technical Executive|Application Development | Cancer represents 15-20% of a company's total healthcare spend, but historically, there have been no proactive indicators of what potential for cancer exists, nor any solution for controlling costs and improving patient outcomes. With the power of Snowflake and Hakkoda, Private Health Management (PHM) is empowering companies to predict cancer risks, create early intervention plans, lower costs, and save lives.PHM leverages Snowpark and Streamlit to securely share a proprietary machine learning algorithm that predicts the incidence and prevalence of cancer within an organization. Working alongside a strategic health data and analytics provider that has access to company claims information, PHM uses Snowflake to share data and build insights across 26 cancer types, constructing unique approaches to address improved care as well as the cost of cancer. | Chris PuuriHakkodaDirector of Data EngMatt SavacoolPrivate Health ManagementData Architect |
https://events.snowflake.com/summit/sessions/agenda/session/1135926 | OS209: How Thomson Reuters is Leveraging Native Alerts and Email Notifications to Manage Costs | 01/07/2025 01:00 PM | #NAME? | (45 min) | Caesars Forum, Alliance 304 | Operating & Optimizing Snowflake|Breakout Session|Intermediate|All Industries|Data Engineer|Cost Governance|Data Engineering & Pipelines|Maximize Economic Value|Performance & Optimization | The Platform Engineering team at Thomson Reuters manages all users and environments on the Snowflake platform. The goal is to reduce additional credit consumption from the long-running queries and the resulting blocked and queued queries in Snowflake in an automated fashion. This removes the need for manual monitoring from the Platform Engineering team freeing up time and resources to focus on higher valued tasks. This near real-time reporting solution provides our users with notification of current long-running queries to allow them to abort unnecessary queries and optimize their Snowflake usage. Come learn about how we leveraged the Snowflake native alerts, email notifications, and Snowsight dashboards to help keep our users informed about their credit consumption. This session will be recorded. | Chelsea WallaceThomson ReutersSenior Big Data EngiTim SmithThomson ReutersManager, Big Data En |
https://events.snowflake.com/summit/sessions/agenda/session/1140435 | MD304: Accelerating Data Insights with Data Access Automation in Snowflake | 01/07/2025 01:00 PM | #NAME? | (20 min) | Caesars Forum, West Theater B | Modern Data Architectures|Theater Session|Advanced|All Industries|Business Executive|Data Engineer|Technical Executive|Governance & Compliance | Thomson Reuters is the world’s leading source of news and information for professional markets. They deployed their Data Lake on Snowflake, replacing a variety of on-premise and cloud-native databases. During their migration to Snowflake, they faced challenges with data security and access. Legacy approaches to policy management couldn’t move as fast as the cloud, and lack of trust for internal data sharing was slowing down the migration. Ultimately, they leveraged Snowflake’s security architecture, along with Immuta’s data security platform, to rapidly and safely deploy new data workloads in the cloud. Thomson Reuters is leading the industry with its unique approach to tagging data across multiple domains to provide fast, automated access via Snowflake’s data catalog. Some of their key techniques include tag-based masking to share tables and views at the domain level according to user security classification via Alation; governing access to all domains with just a single policy, accelerating time to data in Snowflake; and automating user provisioning with Okta, Sailpoint, and ServiceNow. | Carter CousineauThomson ReutersVice President, Data |
https://events.snowflake.com/summit/sessions/agenda/session/1116109 | WN209: What's New: Machine Learning with Snowflake Demo | 01/07/2025 01:00 PM | #NAME? | (20 min) | Caesars Forum, Data Heroes Theater | What's New|Theater Session|Intermediate|All Industries|Data Engineer|Data Scientist|Software Developer|Application Development|Data Engineering & Pipelines|Generative AI & LLM|AI/ML | Join us to learn about the latest enhancements helping data scientists and ML engineers develop and productionize machine learning models natively in Snowflake. This session will be recorded. | Caleb BaechtoldSnowflakeML/AI Field CTOVenkat KrishnamurthySnowflakeSr Product Manager, |
https://events.snowflake.com/summit/sessions/agenda/session/1140428 | DE214: Fivetran Automation, Reliability, and Scale: Accelerating Data Movement | 01/07/2025 01:00 PM | #REF! | (20 min) | Caesars Forum, East Theater C | Data Engineering|Theater Session|Intermediate|Technology|BI / Analyst|Data Engineer|Data Engineering & Pipelines|Modernize Pipelines | Learn how Fivetran—Snowflake Tech Partner of the Year for Data Integration in 2022, 2020, 2019, and 2018—accelerates data movement, addressing critical challenges such as:- Time to insight: quickly set up production data pipelines that deliver business outcomes- Architectural constraints: SaaS service, so infrastructure effort is removed- Lack of self-service: easy to use for all, not just data engineers or developers- Operational sustainability: Fivetran just works and has 99.9%+ uptimeSee live and in real time how an application data source and a relational database source are easily and quickly connected to Snowflake for a historical sync, ongoing incremental replication, and change data capture. | David HrncirFivetranSenior Partner Sales |
https://events.snowflake.com/summit/sessions/agenda/session/1115963 | DE300: How Snowpipe and Secure Data Sharing Enabled Scalable Analytics at DoorDash | 01/07/2025 01:00 PM | #REF! | (20 min) | Caesars Forum, Industry Pavilion Theater South | Data Engineering|Theater Session|Advanced|All Industries|Retail / CPG|Data Engineer|BI / Analytics|Data Engineering & Pipelines|Modernize Pipelines|Data Sharing & Collaboration | Join this session to learn how key technologies from Snowflake like Snowpipe, Secure Data Sharing, and other security features enabled DoorDash to create data pipelines and provide seamless integration and insights for analytics users. | Akshat NairDoorDashEngineering Manager |
https://events.snowflake.com/summit/sessions/agenda/session/1115967 | DE304: Data Loading Best Practices: Maximize Speed, Minimize Cost | 01/07/2025 01:00 PM | #REF! | (45 min) | Caesars Forum, Academy 415 | Data Engineering|Breakout Session|Advanced|All Industries|Data Engineer|Data Engineering & Pipelines|Maximize Economic Value|Modernize Pipelines | Drawing upon experience with over 100 Snowflake deployments, this talk describes the best practices to efficiently load hundreds of terabytes of data while maximizing warehouse efficiency and minimizing cost. We'll cover everything from web scale migrations of over 300,000 tables to cost-effective streaming of mobile phone data varying from a few thousand overnight to millions of rows per minute. Regardless of whether you have a single terabyte or are rapidly heading north of a petabyte, you'll learn the best practices deployed by the largest, most sophisticated Snowflake customers. This session will be recorded. | John RyanAnalytics TodaySenior Solution Arch |
https://events.snowflake.com/summit/sessions/agenda/session/1138754 | MA209: How Wyze Used RudderStack to Build a True Customer 360 in Snowflake | 01/07/2025 01:00 PM | #NAME? | (20 min) | Caesars Forum, East Theater D | Marketing Analytics|Theater Session|Intermediate|Retail / CPG|Data Engineer|Technical Executive|Customer 360|Maximize Economic Value|Powered by Snowflake | Join this session to hear how Wyze, the makers of smart home cameras and products, has used RudderStack to build a modern customer data platform in Snowflake. Topics covered will include a deep dive into the key components of the stack, as well as how Wyze uses: - Real-time Event Stream to capture first party behavioral and clickstream data from their website and mobile apps, and sends it to marketing tools like Braze for real-time activation and to Snowflake for batch/analytics and more advanced use cases - Profiles, which creates the customer 360 in Snowflake by stitching the real-time event data with other customer object data such as Wyze's user records, and advanced models that Wyze's data science team has built on top of RudderStack Profiles to build customer traits like churn score, lifetime value, and others - ReverseETL, which syncs the customer 360 and the computed traits into Braze for re-targeting and re-engagement campaigns This session will also cover a few use cases and campaigns being powered by this warehouse-native customer data platform and their ROI. | Soumyadeb MitraRudderStackFounder & CEOWei ZhouWyzeDirector of Data Eng |
https://events.snowflake.com/summit/sessions/agenda/session/1115980 | IN007: Sharing Data at Velocity Inside and Outside Your Organization with NYC Health and Hospitals | 01/07/2025 01:00 PM | #REF! | (45 min) | Caesars Forum, Academy 418 | Industry Impact|Breakout Session|Non-Technical|Healthcare & Life Sciences|Public Sector|BI / Analyst|Business Executive|Data Engineer|Data Scientist|DevOps|IT / DBA|Product Manager|Security Practitioner|Software Developer|Technical Executive|Application Development|BI / Analytics|Cost Governance|Cybersecurity|Data Engineering & Pipelines|Data Lakes|Data Mesh|IT Operations|Maximize Economic Value|Migrations|Modernize Pipelines|Performance & Optimization|Snowgrid|Supply Chain|Data Sharing & Collaboration|DevOps|Governance & Compliance|AI/ML | The prospect of data sharing can seem like a daunting task, specifically in regulated industries like healthcare. In this session, learn how NYC Health and Hospitals utilized Snowflake's built-in cloud data sharing capabilities and implemented a flexible data vault modeling architecture, establishing a data hub solution that allows for standardized data exchange. As a result, NYC Health and Hospitals have streamlined the process and achieved faster and more efficient data processing, with membership data now available in a couple of minutes, a drastic reduction from the previous four-to-five-day time frame. This session will be recorded. | |
https://events.snowflake.com/summit/sessions/agenda/session/1116075 | OS101A: What's New in Data Governance & Privacy | 01/07/2025 01:00 PM | #NAME? | (45 min) | Caesars Palace, Neopolitan 1 | Operating & Optimizing Snowflake|Breakout Session|Introductory|All Industries|Business Executive|IT / DBA|Security Practitioner|Technical Executive|Snowgrid|Governance & Compliance | Come learn more about the newest native data governance and privacy capabilities that work across clouds and regions to bring visibility and control across your entire global data estate. This session will be recorded. | Raja BalakrishnanSnowflakeSenior Product ManagShruti AnandSnowflake IncSenior Product Manag |
https://events.snowflake.com/summit/sessions/agenda/session/1138731 | MA000: Unleashing the Power of Customer Data: Square's Journey with Amplitude and Snowflake | 01/07/2025 01:00 PM | #NAME? | (20 min) | Caesars Forum, West Theater A | Marketing Analytics|Theater Session|Non-Technical|Media / Entertainment / Advertising|Retail / CPG|Technology|BI / Analyst|Business Executive|Product Manager|Customer 360|Marketing Analytics|Maximize Economic Value | Square has always been committed to delivering an exceptional customer experience, and they knew that leveraging customer data was critical to delivery. However, relying solely on data teams to make sense of siloed customer data was limiting their ability to extract insights and take actions at scale. In this session, we'll dive into Square's journey with Amplitude and Snowflake. You'll learn how they overcame their data integration challenges, leveraged Amplitude's profile properties to create audience segments, and gained unprecedented insights into customer behavior. Join us to discover how you can also unlock the power of customer data and accelerate your business growth. | Christopher SeldenAmplitudePrincipal Product MaLydia HabteSquareTechnical Program Ma |
https://events.snowflake.com/summit/sessions/agenda/session/1115990 | IN017: Retail Data Cloud Overview: Survive and Thrive in the Macroeconomic Headwind with Data | 01/07/2025 01:00 PM | #REF! | (45 min) | Caesars Palace, Augustus 5 | Industry Impact|Breakout Session|Non-Technical|Retail / CPG|BI / Analyst|Business Executive|Data Engineer|Data Scientist|DevOps|IT / DBA|Product Manager|Security Practitioner|Software Developer|Technical Executive|Application Development|BI / Analytics|Community|Cost Governance|Customer 360|Cybersecurity|Data Engineering & Pipelines|Data Lakes|Data Mesh|IT Operations|Marketing Analytics|Maximize Economic Value|Migrations|Modernize Pipelines|Monetization|Performance & Optimization|Powered by Snowflake|Snowflake Marketplace|Snowgrid|Supply Chain|Unistore|Data Sharing & Collaboration|DevOps|Governance & Compliance|AI/ML | The Snowflake Retail Data Cloud launched in March 2022, with Snowflake's dedicated use cases and solutions addressing key industry trends such as inflationary and recessionary pressure. Since launch, the retail, consumer packaged goods, data and services provider ecosystem is thriving on Snowflake. Hear from industry leadership on how the power of the Retail Data Cloud has transformed their business, helping them optimize pricing and promotion strategies, deliver personalized experiences, build a more resilient supply chain, and develop more efficient and sustainable operations. This session will be recorded. | Claudia WellmannColgate-PalmoliveDirector of Digital Kim ViccaroKenvueHead of Data StrategPatrick Kelly84.51°SVP Head of Product Rosemary DeAragonSnowflakeGlobal Head of Retai |
https://events.snowflake.com/summit/sessions/agenda/session/1115930 | CY104: The RealReal Moves Beyond Traditional SIEM with a Security Data Lake | 01/07/2025 01:30 PM | #REF! | (20 min) | Caesars Forum, Industry Pavilion Theater North | Cybersecurity|Theater Session|Introductory|All Industries|Retail / CPG|Business Executive|Security Practitioner|Technical Executive|BI / Analytics|Cybersecurity|Data Engineering & Pipelines|Data Lakes|Maximize Economic Value|Migrations|Modernize Pipelines|Powered by Snowflake|Data Sharing & Collaboration | The RealReal is a digital and traditional in-store marketplace for luxury consignment with thousands of employees and millions of buyers and consignors. When their SOC team outgrew their legacy SIEM, they sought an alternative that could handle their cloud-scale data volumes. By introducing a SOC platform that runs on the Snowflake Data Cloud, the RealReal has been able to improve visibility into their environment, automate manual processes, and streamline their threat detections and investigations. | |
https://events.snowflake.com/summit/sessions/agenda/session/1146800 | MA001: Rethinking the CDP with Snowflake and Hightouch | 01/07/2025 01:30 PM | #REF! | (20 min) | Caesars Forum, East Theater D | Marketing Analytics|Theater Session|Non-Technical|Financial Services|BI / Analyst|Data Engineer|Data Scientist|Data Engineering & Pipelines | Thanks to advancements in the Data Cloud, companies of all sizes-from startups to Fortune 100s-are now moving away from legacy customer data platforms (CDPs) in favor of data activation platforms that activate customer data directly from Snowflake. Join Chris Yu, Platform Strategy and Operations Lead at Chime, and Alec Haase, Product Marketing Lead at Hightouch, to learn how and why leading organizations like Chime are moving away from legacy CDPs in favor of a new, "composable" CDP architecture that enables marketing teams to move faster and deliver hyperpersonalized customer experiences at scale. After this session, you'll be able to understand: - The foundational components of a composable CDP- Why leading organizations are leaning into their Snowflake investments to power modern marketing- Just how easy it is to begin activating your customer data in Snowflake with a composable CDP | Alec HaaseHightouchProduct Marketing LeChris YuChimePlatform Strategy an |
https://events.snowflake.com/summit/sessions/agenda/session/1151418 | MD116: Compliance Automation and Beyond: Drata's Journey to Data Trust with Snowflake and Monte Carlo | 01/07/2025 01:30 PM | #REF! | (20 min) | Caesars Forum, West Theater A | Modern Data Architectures|Theater Session|Introductory|Technology|Data Engineer|Data Engineering & Pipelines | As companies digitize and move to the cloud, security and IT teams need a way to seamlessly automate, monitor, and scale compliance and security programs. Enter Drata, a Series C security and compliance unicorn powering compliance for over 1,000 customers worldwide. One of the few companies to achieve unicorn status in 2022, Drata credits much of their success to their data-driven approach to growth. To improve customer experiences on the platform and ensure internal stakeholders have the insights they need to scale, Lior Solomon, VP of Engineering, Data, migrated the company to Snowflake. With Snowflake, Lior and his team manage CDC pipelines that drive product development, data science, and operational analytics use cases to fuel the company's growth. During this talk, Lior will discuss his experience building a modern data platform with speed and reliability in mind, leveraging end-to-end data observability across their Snowflake environments. | Barr MosesMonte CarloCEO & co-founderLior SolomonDrataVP of Engineering, D |
https://events.snowflake.com/summit/sessions/agenda/session/1116073 | ML302: A Feast of Features: Building a Feature Store with Snowflake at Zip Co | 01/07/2025 01:30 PM | #NAME? | (20 min) | Caesars Forum, East Theater C | AI/ML|Theater Session|Advanced|All Industries|Data Engineer|Data Scientist|Data Engineering & Pipelines|Modernize Pipelines|AI/ML | Zip Co is a global "buy now, pay later" financial technology company. With products ranging from interest-free buy-now-pay-later service to a line of credit to individuals, the business model requires dealing with large volumes of data and relies heavily on robust machine learning models.Feature development for these ML models is hard, and scaling a good approach across teams is even harder. In this session, Adam Schmidt, Principal Engineer at Zip, will explain the use cases that prompted them to build a feature store. You will learn about Zip's feature store tech stack and feature store implementation architecture built on Snowflake using Snowpark, dbt and Feast. | Adam SchmidtZip CoPrincipal EngineerRishu SaxenaSnowflakeField CTO, AI/ML |
https://events.snowflake.com/summit/sessions/agenda/session/1163783 | MD229: Unified Digital Transformation with Snowflake and Microsoft Azure | 01/07/2025 01:30 PM | #NAME? | (20 min) | Caesars Forum, West Theater B | Modern Data Architectures|Theater Session|Intermediate|All Industries|BI / Analyst|Business Executive|Technical Executive|Application Development|Maximize Economic Value|Generative AI & LLM | This talk will explore how customers achieve digital transformations using Microsoft Azure and Snowflake. We will delve into the architecture of Snowflake on Azure, discussing the Azure integrations with Snowflake and highlighting how Microsoft's Unified Azure Data Platform provides a robust and scalable data platform complementing Snowflake. | Matt MarzilloSnowflakeSr. Partner EngineerShankar Narayanan SGSMicrosoftPrincipal Architect |
https://events.snowflake.com/summit/sessions/agenda/session/1138758 | AA217: Improving your bottom line with EY Spend Insights | 01/07/2025 01:30 PM | #REF! | (25 min) | Caesars Forum, Industry Pavilion Theater South | Accelerating Analytics|Theater Session|Intermediate|All Industries|BI / Analyst|Business Executive|Data Engineer|Data Scientist|DevOps|IT / DBA|Product Manager|Software Developer|Technical Executive|BI / Analytics|Powered by Snowflake | EY Spend Insights (EY SPI) can improve your bottom line with a 360-degree view of your spend profile. EY SPI is an advanced spend analysis tool, purpose-built for Snowflake, that loads and integrates structured and semi-structured data from multiple ERPs, sourcing systems, third parties, and more to transform data to derive actionable insights for strategic decision making. Learn more about this newly launched solution powered by Snowflake in our 25 minute theater session. | Farooque MunshiEYPartner, Data & Anal |
https://events.snowflake.com/summit/sessions/agenda/session/1115961 | DE211A: Operationalizing Snowpark Python | 01/07/2025 01:30 PM | #REF! | (20 min) | Caesars Forum, Data Heroes Theater | Data Engineering|Theater Session|Intermediate|All Industries|Data Engineer|Data Scientist|DevOps|Software Developer|Application Development|Data Engineering & Pipelines|DevOps|AI/ML | With Snowpark Python now generally available, many Snowflake customers are able to bring production Python workloads. But how? For instance, how should you think about the dataframe API vs. user-defined functions vs. UDTFs? In this session, you'll learn core design principles for building capabilities on top of Snowpark Python (across data engineering, data science, and data application workloads). This session will be recorded. | Caleb BaechtoldSnowflakeML/AI Field CTO |
https://events.snowflake.com/summit/sessions/agenda/session/1116021 | MA204: Boost Marketing Campaigns with First-Party Data Activation via Snowflake | 01/07/2025 02:00 PM | #REF! | (45 min) | Caesars Palace, Julius 16 | Marketing Analytics|Breakout Session|Intermediate|Financial Services|Healthcare & Life Sciences|Manufacturing|Media / Entertainment / Advertising|Retail / CPG|Telecom|Application Development|BI / Analytics|Community|Cost Governance|Customer 360|Cybersecurity|Data Engineering & Pipelines|Data Lakes|Data Mesh|IT Operations|Marketing Analytics|Maximize Economic Value|Migrations|Modernize Pipelines|Monetization|Performance & Optimization|Powered by Snowflake|Snowflake Marketplace|Snowgrid|Supply Chain|Unistore|Data Sharing & Collaboration|DevOps|Governance & Compliance|AI/ML | As the strategic importance of first-party data accelerates for marketers and the marketing and advertising ecosystem continues to gravitate toward the Data Cloud, there is a growing need to seamlessly activate first-party data from Snowflake to the right platforms and marketing tools.Join this session to see how LiveRamp, The Trade Desk, and Magnite utilize the Data Cloud to enable modern marketers to activate their first-party data and ultimately qualify who sees an ad across programmatic platforms activations. This session will be recorded. | Ben SylvanThe Trade DeskGM, Data PartnershipDavid WellsSnowflakeIndustry Principal, Kristen WilliamsMagniteSVP, Strategic PartnLisa CramerLiveRampHead of Embedded Pro |
https://events.snowflake.com/summit/sessions/agenda/session/1116040 | MD206A: Architecture Patterns with Snowflake | 01/07/2025 02:00 PM | #REF! | (45 min) | Caesars Forum, Academy 405 | Modern Data Architectures|Breakout Session|Intermediate|All Industries|Data Engineer|IT / DBA|Technical Executive|Application Development|Data Engineering & Pipelines|Data Lakes|Data Mesh|AI/ML | Beyond traditional data warehousing, Snowflake's platform can be used for a variety of architecture patterns. Join this session to learn about the benefits of Snowflake for patterns including applications, streaming, machine learning and data science, and data lake. This session will be recorded. | Varun KhandelwalSnowflakeSenior Sales Enginee |
https://events.snowflake.com/summit/sessions/agenda/session/1115927 | CY101: Hands-On Lab: Cybersecurity Capture the Flag | 01/07/2025 02:00 PM | - 4:00 PM | (2 hours) | Caesars Forum, Alliance 309 | Cybersecurity|Hands-on-Lab|Introductory|All Industries|Financial Services|Healthcare & Life Sciences|Manufacturing|Media / Entertainment / Advertising|Public Sector|Technology|Telecom|Data Engineer|Data Scientist|DevOps|Product Manager|Security Practitioner|Software Developer|Technical Executive|Application Development|BI / Analytics|Cybersecurity|Data Engineering & Pipelines|Data Lakes|Powered by Snowflake|Snowflake Marketplace|Data Sharing & Collaboration|AI/ML | In this hands-on workshop, you'll follow along Snowflake Cybersecurity Field CTOs as they teach you how to use Snowflake for threat detection and cyber security investigations. Participants will be provided with a data set containing logs from various cloud-native and third-party tools and will walk through scenarios to detect and respond to threats. Prior cybersecurity experience is not required to participate. | Jake BerkowskySnowflakePrincipal Cybersecur |
https://events.snowflake.com/summit/sessions/agenda/session/1151419 | MD000: Strategies for Successful Data Migration with Data Observability | 01/07/2025 02:00 PM | #REF! | (20 min) | Caesars Forum, East Theater C | Modern Data Architectures|Theater Session|Non-Technical|All Industries|BI / Analyst|BI / Analytics | This session will educate attendees on the intricacies of migrating to the Snowflake Data Cloud and the potential challenges they face. We will show how a multi-layered Data Observability solution helps enterprise data teams to navigate through the different phases of migration, and how they can manage the modern data stack post-migration. We will demonstrate key use cases, covering data infrastructure, data quality, data reliability, pipelines, and user behavior use cases solved by the Acceldata Data Observability platform. By the end of the session, attendees will have gained knowledge in how Acceldata's platform can be used by data engineers, Snowflake administrators, and business analysts as the foundation for unlocking the power of their data. | Sameer NarkhedeAcceldataDirector, Product Ma |
https://events.snowflake.com/summit/sessions/agenda/session/1115890 | AD102: Building on Snowflake: A Data Superheroes' Perspective | 01/07/2025 02:00 PM | #REF! | (20 min) | Caesars Forum, Data Heroes Theater | Application Development|Theater Session|Introductory|All Industries|Software Developer|Application Development|Community | Join this panel to hear from data superheroes who are building on Snowflake. They'll share best practices and dive into lessons they've learned. This session will be recorded. | Divyansh SainiHousewareCEO & Co-founderFrank BellIT StrategistsPrincipalSean FalconerSkyflowHead of Marketing |
https://events.snowflake.com/summit/sessions/agenda/session/1138776 | DE218A: Hands-On Lab: Using dbt for Analytics and ML-Ready Pipelines with SQL and Python in Snowpark | 01/07/2025 02:00 PM | - 4:00 PM | (2 hours) | Caesars Forum, Alliance 314 | Data Engineering|Hands-on-Lab|Intermediate|All Industries|Data Engineer|Data Scientist|Software Developer|Data Engineering & Pipelines|Modernize Pipelines|AI/ML | Modern businesses need modern data strategies built on platforms that support agility, growth, and operational efficiency. Using dbt with Snowflake, data teams can quickly and collaboratively deploy analytics code following software engineering best practices like modularity, portability, CI/CD, and documentation. In this hands-on lab, you'll learn how to create data transformation pipelines using dbt, Snowflake SQL, and Snowpark. To make it fun, we'll be using Formula 1 data. We'll show you the analytics engineering way to use SQL versus Python for data transformations, apply data quality tests, document, and deploy to get you ready for ML workflows. | Hope Watsondbt LabsPartner EngineerRipu JainSnowflakePartner Technoking |
https://events.snowflake.com/summit/sessions/agenda/session/1138766 | ML000: Generative AI: Aflac + DataRobot a CDO’s Must-Know Guide to Unlock Business Value | 01/07/2025 02:00 PM | #REF! | (45 min) | Caesars Palace, Julius 7 | AI/ML|Breakout Session|Non-Technical|All Industries|Generative AI & LLM | As a data leader, you must consider generative AI and the immense opportunities and challenges it creates. In this session, we'll get real and pragmatic about harnessing generative AI safely and securely, avoiding key pitfalls, incorporating AI into data science teams and workstreams, and implementing other ML and governance best practices. Walk away knowing what you need to do to take advantage of generative AI, how to think about bringing these transformative changes to your business, and what governance and oversight you need to have in place to de-risk your ML innovations. This session will be recorded. | Sarah GibsonAflacManager, US Business |
https://events.snowflake.com/summit/sessions/agenda/session/1159788 | IN210: Unlock Business Value Through Data: Learnings from a 'Snowflake Data Driver of the Year Award Winner' | 01/07/2025 02:00 PM | #REF! | (20 min) | Caesars Forum, West Theater A | Industry Impact|Theater Session|Intermediate | Data is an important accelerator for successful business transformation. But the journey from data to insight is not seamless owing to challenges involving people, process, and technology. Everyday data volume, velocity, and variety is creating additional complexities for professionals and enterprises at large. Business teams have growing expectations regarding speed of delivery and ability to become more self-sufficient. Results are needed faster than ever. The dearth of great talent is at all-time high. Join us to learn about how organizations can adopt a data-driven culture and stay ahead of the curve. Tune in to hear Loic Giraud, 2021 Snowflake Data Driver of the Year and ex-Snowflake Black Diamond customer council member, on how to link your data strategy with business strategy, reimagine your technology-centric data strategy, and create a data-driven culture, and find out how Calibo can partner in your growth journey. | Loic GiraudCaliboChief Operating Offi |
https://events.snowflake.com/summit/sessions/agenda/session/1151432 | AA222: Optimize Costs and Latency to Unleash Real-Time Analytics with Snowflake and Striim | 01/07/2025 02:00 PM | #REF! | (20 min) | Caesars Forum, East Theater D | Accelerating Analytics|Theater Session|Intermediate | In this quick technical deep dive, we will walk through using Striim to stream real-time data into Snowflake leveraging the new streaming API. Striim uniquely combines database change data capture (Oracle, PostgreSQL, SQLServer, MongoDB, and others) with a streaming SQL engine to push real-time data into Snowflake. Reduce your ETL costs and latency with Striim's fully managed streaming data integration service. | John KutayStriimDirector of Product |
https://events.snowflake.com/summit/sessions/agenda/session/1151410 | MD225: Gain insights from your unstructured data in Snowflake using Amazon Comprehend Medical | 01/07/2025 02:00 PM | #REF! | (25 min) | Caesars Forum, Industry Pavilion Theater North | Modern Data Architectures|Theater Session|Intermediate|Healthcare & Life Sciences|Data Engineer|Data Scientist|BI / Analytics|Data Sharing & Collaboration|AI/ML | While there are many estimates as to the amount of unstructured data that exists within an average healthcare organization, most agree that over half of all data assets are unstructured. This unstructured data contains a treasure of clinical value, but it's "locked" within a body of text. In this session you will learn how healthcare customers are utilizing Snowflake and Amazon Comprehend Medical, a natural language processing service, to store clinical data, including unstructured data from various sources. What to expect: learn how to take data from Snowflake and push your documents through Amazon Comprehend Medical, allowing you to extract valuable information from them; understand the features, use cases, and reference architecture of Amazon Comprehend Medical to demonstrate how it can be used to extract valuable information from data in Snowflake; discover how to take the unstructured data from billing codes, diagnosis, diagnostics, and social determinants of health, and return that data in semi-structured (JSON) format to be "reunited" with its structured counterparts within Snowflake. | Bosco AlbuquerqueAWSPartner Solutions Ar |
https://events.snowflake.com/summit/sessions/agenda/session/1159791 | AA224: Drive Speed and Agility Through Industrialized Snowflake Data Cloud Deployments | 01/07/2025 02:00 PM | #REF! | (45 min) | Caesars Forum, Academy 416 | Accelerating Analytics|Breakout Session|Intermediate|Financial Services|BI / Analyst|Business Executive|IT / DBA|Product Manager|Application Development|Performance & Optimization|Powered by Snowflake|Generative AI & LLM|AI/ML | Did you know you can industrialize your Snowflake Data Cloud deployments through observability and extensive automation right from applications onboarding all way to the data pipeline automations? In this session, learn how two clients were not only able to operationalize these large data platforms but are also now in a better position to add speed and agility to drive business transformation. Morgan Stanley gained infrastructure improvements, direct business use cases, and increased ability to launch more targeted email campaigns with next best action and personalization capabilities. Kemper enjoys extensive automation of end-to-end data pipelines, operational alerting, and the ability to detail Snowflake costs. | Ashvin ParmarCapgeminiVP, Global SolutionsSrinivas ChopparapuKemperDirector Data EngineSuryakant BhrambhattMorgan StanleyExecutive Director, Troy MitchellDiscoverVice President, Data |
https://events.snowflake.com/summit/sessions/agenda/session/1138745 | OS211: Copilot for Snowflake in Action: Continuous Workload Optimization Made Easy | 01/07/2025 02:00 PM | #NAME? | (20 min) | Caesars Forum, West Theater B | Operating & Optimizing Snowflake|Theater Session|Intermediate|All Industries|BI / Analyst|Business Executive|Data Engineer|Data Scientist|DevOps|IT / DBA|Cost Governance|IT Operations|Performance & Optimization|AI/ML | Are you looking to optimize Snowflake cost and performance? Workload optimization is front and center in today's economic climate but can take valuable engineering time and effort to address. In this session, hear from Bluesky's Co-founder and CEO, Mingsheng Hong, on how Bluesky's Copilot for Snowflake is enabling engineers and analysts to spend less time optimizing and more time building. Bluesky provides confidence that customers are running an efficient Snowflake Data Cloud by continuously detecting optimization opportunities at every level ranging from data models to pipelines to individual query profiles, to provide easy-to-follow recommendations, and even automatically implementing approved fixes. Hear where the highest impact and lowest effort optimizations truly are, how your data teams can get the most performance and value out of every credit with little effort, and best practices when moving prototypes to efficient, production-level code. | Mingsheng HongBluesky DataCEO and Co-founder |
https://events.snowflake.com/summit/sessions/agenda/session/1151430 | CO213: Salesforce and Snowflake Data Sharing: Bring Real-Time Data to Power Your Customer 360 | 01/07/2025 02:00 PM | #REF! | (45 min) | Caesars Palace, Julius 23 | Collaboration|Breakout Session|Intermediate|All Industries|Data Engineer|Product Manager|Technical Executive|BI / Analytics|Customer 360|Data Engineering & Pipelines|Modernize Pipelines|Data Sharing & Collaboration | Salesforce and Snowflake partner to enable zero copy data sharing innovation, enabling customers to unlock more value from their data. The deepening of the partnership between our two companies helps customers securely collaborate with data in real time between Salesforce and Snowflake, minimizing the risks, costs, and headaches from traditional sync methods.This session is being recorded. | |
https://events.snowflake.com/summit/sessions/agenda/session/1140446 | MD113: How YAMAHA is Modernizing their Data Platform on Snowflake Data Cloud with Informatica | 01/07/2025 02:00 PM | #REF! | (45 min) | Caesars Palace, Pompeian 1 | Modern Data Architectures|Breakout Session|Introductory|All Industries | Do you need to move data at scale to Snowflake and meet the demands of data-intensive applications? Is there a business need to automate manual processes in your data pipeline? Join us in this session to learn how Yamaha Financial Services, as part of the ‘One Yamaha” vision, is leveraging the joint innovation between Informatica’s Intelligent Data Management Cloud™ (IDMC) and Snowflake Data Cloud, to build a modern cloud-native data platform, and address the data integration and management needs to power data-driven innovation. In addition, we will also explore how Informatica’s AI-powered IDMC platform can help you achieve a comprehensive, cohesive, and incremental data management strategy and optimize your data analytics and machine learning pipelines.This session will be recorded. | Anand SivaramakrishnanYamaha Motor Corporation, USAGroup ManagerRik Tamm-DanielsInformaticaGVP Strategic Cloud |
https://events.snowflake.com/summit/sessions/agenda/session/1116008 | IN200: AT&T: Building Enterprise Semantic Models | 01/07/2025 02:00 PM | #REF! | (45 min) | Caesars Forum, Academy 411 | Industry Impact|Breakout Session|Intermediate|Telecom|Data Engineer|IT / DBA|Security Practitioner|Software Developer|Technical Executive|Data Engineering & Pipelines|Data Lakes|IT Operations|Migrations|Modernize Pipelines|Performance & Optimization | Enterprise semantic layers promise to democratize access across an organization and improve efficiency through intuitive domain representations. To democratize access, the layers' constructs must adhere to the concepts and relationships of an enterprise ontology and derive from the low-level (often messy) enterprise databases and data lakes. The abstraction gap between an ontology and these low-level sources makes semantic layers challenging to build at the enterprise scale.Join this session to see AT&T's methodology for building semantic layers that use both patterns and generators to refine the constructs of an ontology by weaving data from databases and data lakes. This session will be recorded. | Kurt StirewaltRelationalAIVP of Knowledge Engi |
https://events.snowflake.com/summit/sessions/agenda/session/1138777 | OS213A: Hands-On Lab: Scalable Governance with Snowflake and Alation | 01/07/2025 02:00 PM | - 4:00 PM | (2 hours) | Caesars Forum, Alliance 310 | Operating & Optimizing Snowflake|Hands-on-Lab|Intermediate|All Industries|BI / Analyst|Data Engineer|IT / DBA|Security Practitioner|Governance & Compliance | Organizations of all sizes continue to invest in data governance to comply with numerous regulations, such as the GDPR, HIPAA, SOX, and CCPA. However, many of these organizations struggle to balance risk mitigation and manage rapid growth. Join us to see, firsthand, how Snowflake and Alation can mitigate compliance risk, increase user productivity, and improve data usage by delivering transparency and trust in the data lifecycle. In this lab you'll see how to: - Apply governance to data within Snowflake - Help users find data, understand how to use this data, and trust their data - See firsthand from Alation how users can access and work with Snowflake data - Protect sensitive data using Snowflake's role-based masking policies - Create and manage Snowflake access policies directly from Alation | Carlos BouloySnowflakeSenior Solution ArchGene ArnoldAlationSolution ArchitectMichael MeyerAlationTechnical Product Ma |
https://events.snowflake.com/summit/sessions/agenda/session/1116037 | MD203: How to Securely Scale a Data Mesh on Snowflake | 01/07/2025 02:00 PM | #REF! | (45 min) | Caesars Forum, Alliance 305 | Modern Data Architectures|Breakout Session|Intermediate|All Industries|IT / DBA|Technical Executive|Data Mesh|Snowflake Marketplace|Governance & Compliance | As the world's largest biotech company, Roche has goals of doubling patient access to novel diagnostics solutions and achieving medical advances at half the cost to society. Compliantly and securely delivering data products and democratizing data consumption in a decentralized environment are critical to reaching these goals.To support this ambition, Roche's Data & Analytics Team had to solve data access management, security, and governance at scale. In this session, Paul Rankin, Head of Data Mesh Platform at Roche, will describe how they used Snowflake's security architecture and data marketplace to power Roche's self-service data and analytics platform stack. Also hear how Immuta's attribute-based access control (ABAC) policy framework eliminates the gap between data providers and consumers through a fully automated data access workflow. This session will be recorded. | Steve TouwImmutaChief Technology Off |
https://events.snowflake.com/summit/sessions/agenda/session/1116013 | MA104: How PetSmart Customizes Messaging to 60 Million Members of their Loyalty Program | 01/07/2025 02:00 PM | #REF! | (20 min) | Caesars Forum, Industry Pavilion Theater South | Marketing Analytics|Theater Session|Introductory|All Industries|Retail / CPG|Business Executive|Technical Executive|Customer 360|Marketing Analytics|Powered by Snowflake|AI/ML | Personalization isn't hard. But personalization at scale is very, very hard. Your data is the key to personalization, and a properly orchestrated data stack, from Snowflake to a data activation platform, is integral to scaling. Hear how PetSmart sends customized messaging to 60 million members of their loyalty program based on purchase history, pet characteristics, lifecycle states, preferred brands, and more. | Bradley BreuerPetSmartVice President, LoyaMr. Kashish GuptaHightouchco-CEO/ Founder |
https://events.snowflake.com/summit/sessions/agenda/session/1115948 | DE106: How HUMAN Creates Large-Volume, Low-Latency Ingestion Pipelines with Snowflake | 01/07/2025 02:30 PM | #REF! | (20 min) | Caesars Forum, East Theater D | Data Engineering|Theater Session|Non-Technical|All Industries|Data Engineer|Cybersecurity|Data Engineering & Pipelines|Modernize Pipelines | HUMAN's data pipeline operates at approximately 20,000 requests per second, with approximately 2 KB compressed data in each request. Ingesting such large volumes and making it available for dashboards and reporting with a latency of only a few minutes requires using custom ingestion designs along with Snowflake services. The current design is a two-step process. First, a micro-batching process writes small, compressed files of data to an AWS S3 bucket. Second, an Airflow DAG monitors an SQS queue for new file notifications and triggers an upload every 10 minutes with the new files. Once the data is inserted into Snowflake, HUMAN uses Tasks to ensure all data is properly displayed on any configured dashboards and reports or data shares. In this session, you'll hear how HUMAN uses various tools and services available in Snowflake to power their data ingestion and transformation while managing the cost and latency of ingesting large amounts of data. | John BlandSnowflakeCybersecurity Data CMunir ContractorHUMANPrincipal Engineer |
https://events.snowflake.com/summit/sessions/agenda/session/1138739 | IN103: Improving Healthcare X12 EDI Claim Data Management with Snowflake and Matillion | 01/07/2025 02:30 PM | #REF! | (25 min) | Caesars Forum, Industry Pavilion Theater South | Industry Impact|Theater Session|Introductory|Healthcare & Life Sciences|BI / Analyst|Business Executive|Data Engineer|Data Scientist|Technical Executive|BI / Analytics|Data Engineering & Pipelines|Maximize Economic Value|Migrations|Modernize Pipelines|Performance & Optimization|AI/ML | Healthcare claims adjudication is complex, made more so by the difficulties in structuring related data in a usable fashion. A multi-state group practice in Pacific Dental had experienced frequent claims denials, impacting their bottom line, and the reports from their EHT revenue cycle management solution proved insufficient. In this session, Pacific Dental will discuss how they turned to Snowflake and Matillion to help them understand trends and detect patterns to improve reimbursements. Hear how Matillion ingested and processed claims files received from insurance payers daily in Snowflake. Once the files were translated to JSON, Snowflake was used to build a relational data model from these flattened views. Revenue cycle teams now have increased visibility to triage discrepancies more proactively, and machine-learning-based decision support rules were built to reduce claim errors up front. | John NowakPhDataSenior Solutions ArcMason AllenPacific DentalSr Developer, Data M |
https://events.snowflake.com/summit/sessions/agenda/session/1115943 | DE101: How Northwestern Mutual Transformed Their Workflows and Reduced Costs with Improved Pipelines | 01/07/2025 02:30 PM | #REF! | (20 min) | Caesars Forum, Industry Pavilion Theater North | Data Engineering|Theater Session|Introductory|Financial Services|Data Engineer|Technical Executive|Data Engineering & Pipelines|Maximize Economic Value|Migrations|Modernize Pipelines|Performance & Optimization|Data Sharing & Collaboration | In this session, learn how Northwestern Mutual accelerated and streamlined their data pipelines with Snowflake in order to enable their investment professionals to better manage the organization's $282 billion general account. Hear from the data engineering team on how they moved their investment and risk data all onto Snowflake, while leveraging Snowpark to ensure data quality and data collaboration capabilities to more seamlessly share insights. And understand how with Snowflake, Northwestern Mutual has transformed their platform to deliver data faster and more accurately, while improving performance, reducing maintenance and troubleshooting burdens, and improving data quality. | Becky NielsonNorthwestern MutualSenior Data AnalystNeha GuptaNorthwestern MutualDirector, Data Engin |
https://events.snowflake.com/summit/sessions/agenda/session/1115938 | CY300: Anvilogic Scales Deep Learning for Cybersecurity Workloads on Snowflake | 01/07/2025 02:30 PM | #REF! | (45 min) | Caesars Palace, Julius 13 | Cybersecurity|Breakout Session|Advanced|All Industries|BI / Analyst|Data Engineer|Data Scientist|DevOps|Product Manager|Security Practitioner|Software Developer|Technical Executive|Application Development|BI / Analytics|Cybersecurity|Data Engineering & Pipelines|Data Lakes|Powered by Snowflake|Data Sharing & Collaboration|Governance & Compliance|AI/ML | Anvilogic is a modern security operations platform that automates and unifies threat detection. We develop and operate machine learning (ML) models for detecting malicious activity in enterprise networks based on event data stored in Snowflake. We use Snowpark to collect raw event logs, normalize them into a Common Information Model (CIM), and enrich and store in Snowflake prior to running detections. In this presentation, we will show how we use Snowflake and Snowpark to (1) meet data scientist and model developer requirements to use familiar tools (Jupyter Notebooks) across a variety of infra (desktops, AWS Sagemaker, Snowflake Warehouses), (2) implement DevOps and MLOps through our CI/CD pipelines by using Snowpark objects that we can manage in our code repos, and (3) operate those models for production-quality inference in consistent Python execution environments across Snowflake dev and prod by using UDFs for "containerizing" ML preprocessing and inferencing, and portable model formats (SavedModel/ONNX) within UDFs for inference. This session will be recorded. | Deb BanerjeeAnvilogicCTOMichael HartAnvilogicPrincipal Data Scien |
https://events.snowflake.com/summit/sessions/agenda/session/1163641 | DE305A: Near Real-Time Ingestion and Transformation on Snowflake | 01/07/2025 02:30 PM | #REF! | (45 min) | Caesars Palace, Julius 5 | Data Engineering|Breakout Session|Advanced|All Industries|Data Engineer|Data Engineering & Pipelines|Maximize Economic Value|Modernize Pipelines | Organizations can derive immense value from data in general. There is an increasing demand for performing data analytics on real-time data, such as data stream or events data, at scale so that organizations can obtain these insights fast in order to react, respond, and make decisions quickly. In this session, you'll learn the data pipeline options to ingest your structured and semi-structured data into Snowflake and transform the data for servicing downstream applications in near real-time at scale. This session will include best-practices recommendations, cost optimization, and performance considerations when using such data pipelines. This session will be recorded. | Jason SnyderSnowflakePrincipal Solutions Man ZhangSnowflakeSr. Solutions Archit |
https://events.snowflake.com/summit/sessions/agenda/session/1116097 | WN103A: What's New: Snowflake Native App Framework | 01/07/2025 02:30 PM | #REF! | (45 min) | Caesars Palace, Augustus 3 | What's New|Breakout Session|Introductory|All Industries|Product Manager|Software Developer|Application Development|Monetization|Powered by Snowflake|Snowflake Marketplace | With the Snowflake Native App Framework you can bring your application to your customer's data, natively in the Data Cloud! Join us to learn from Snowflake product experts and leaders from DTCC and MyDataOutlet about how you can use the Snowflake Native App Framework to build Snowflake Native Apps, distribute and monetize them via Snowflake Marketplace, and deploy them directly in your customers' Snowflake accounts. This session will be recorded. | Arjun PuriThe Depository Trust & ClearinDirector of Cloud DaCharles FannMy Data OutletChief Technology OffClaire LoughDTCCExecutive Director -Unmesh JagtapSnowflakePrincipal Product Ma |
https://events.snowflake.com/summit/sessions/agenda/session/1115905 | CO100: Moving People Around the World Is Complicated-Moving Data Shouldn't Be | 01/07/2025 02:30 PM | #REF! | (45 min) | Caesars Forum, Academy 404 | Collaboration|Breakout Session|Introductory|Manufacturing|Media / Entertainment / Advertising|BI / Analyst|Business Executive|Product Manager|Technical Executive|Data Buyers|BI / Analytics|Data Sharing & Collaboration | A lot has changed since Charles Lindbergh flew the first American Airlines flight in 1923. Over the last century, technological advances have allowed us to move more people across the globe, faster than ever before. Our connected world allows us to stay in touch with our loved ones at all times. The global nature of our economy has also resulted in businesses partnering with each other more than ever before. And timely data collaboration is often a key factor in the success of these collaborations. So why has the process of exchanging data between businesses not changed since IBM introduced flat files in the 70s? In this presentation, we'll present how American Airlines partnered with Snowflake to bring data sharing into the 21st century-faster than the speed of flight. And in doing so, how we are changing the fundamentals of how we work and collaborate across our ecosystem. This session will be recorded. | Nilay BhagatAmerican AirlinesSr. Manager, Data EnNital GhoshAmerican AirlinesManager, Customer Da |
https://events.snowflake.com/summit/sessions/agenda/session/1151420 | AA004A: Growing Old Together: From Adolescence to Maturity with Snowflake + Alteryx | 01/07/2025 02:30 PM | #REF! | (45 min) | Caesars Palace, Julius 19 | Accelerating Analytics|Breakout Session|Non-Technical|Financial Services|BI / Analytics|Data Engineering & Pipelines|Modernize Pipelines|Performance & Optimization | How do you build a data architecture that can grow with you? CUNA Mutual Group did it with Alteryx and Snowflake. In this session, CUNA Mutual Group will take you on their analytical journey over the past 7+ years and illustrate key change driver milestones, from eliminating legacy silos to expanding data science use cases. Learn how you can combine Snowflake with Alteryx to establish a unified stack that’s both scalable and self-service, growing with the business as you take on advanced analytical challenges.This session will be recorded. | Håkan SöderbomAlteryx, Inc.Sr. Director, TechnoSteve KonkolTruStageData, Analytics & Re |
https://events.snowflake.com/summit/sessions/agenda/session/1151408 | IN206: Manage Industrial data at scale to optimize operations | 01/07/2025 02:30 PM | #REF! | (45 min) | Caesars Forum, Academy 418 | Industry Impact|Breakout Session|Intermediate|Manufacturing|Business Executive|Data Engineer|Data Scientist|Data Engineering & Pipelines|Data Sharing & Collaboration|AI/ML | Operations leaders at industrial companies struggle with disconnected, sprawling, and siloed data sources from assets, processes, materials, and people. These data sources were not designed to work together, making it challenging to solve business problems and make informed decisions with data. In this session, learn how to accelerate and scale the ingestion, contextualization, and ability to act on industrial and enterprise data across the value chain. What to expect: learn how to implement an end-to-end data strategy; understand the data management architecture that enables scalable, unified, and integrated mechanisms to harness data as an asset at scale; build the foundation for digital industrial transformation; optimize operations across many cases, such as quality maintenance, materials management, and process improvement. | Ashtad EngineerAWSWorldwide Head of Sm |
https://events.snowflake.com/summit/sessions/agenda/session/1115958 | DE208A: Data Engineering with Python in Snowflake | 01/07/2025 02:30 PM | #REF! | (45 min) | Caesars Forum, Academy 415 | Data Engineering|Breakout Session|Intermediate|All Industries|Data Engineer|Data Scientist|DevOps|Software Developer|Data Engineering & Pipelines|Modernize Pipelines|DevOps | Cloud Data Engineering for Dummies, Snowflake Special Edition, states: "Data engineering isn't something you do once. It's an ongoing practice that involves collecting, preparing, transforming, and delivering data." Snowpark Python presents a powerful new way to do data engineering. In this session, we'll focus building data engineering pipelines with Python. You'll see the end-to-end process of creating a robust data engineering pipeline using Snowpark Python stored procedures. That pipeline will process data incrementally, be orchestrated with Snowflake Tasks, and be deployed via a CI/CD pipeline. You'll also learn how to use Snowflake's new developer CLI tool and Visual Studio Code extension. This session will be recorded. | Jeremiah HansenSnowflakePrincipal Architect, |
https://events.snowflake.com/summit/sessions/agenda/session/1115960 | DE210: Exploring the Open Source Drivers & API Ecosystem | 01/07/2025 02:30 PM | #REF! | (20 min) | Caesars Forum, Data Heroes Theater | Data Engineering|Theater Session|Intermediate|All Industries|Data Engineer|DevOps|Software Developer|Application Development|Data Engineering & Pipelines|Modernize Pipelines|DevOps | Learn how to connect to Snowflake from a variety of sources and applications using open-source drivers and connectors such as Python, JDBC, ODBC, .NET, Nodejs, Go, and PHP. Get the latest update about APIs to help you create powerful integrations with Snowflake. In addition, see a demo of the Go connector for ADBC Arrow integration, which makes it simpler to integrate with multiple data sources and applications. This session will be recorded. | Anurag GuptaSnowflakeSr Product ManagerMatthew TopolVoltron DataStaff Software Engin |
https://events.snowflake.com/summit/sessions/agenda/session/1134890 | ML208: Building a Scalable ML Platform on Snowflake at Samsung Ads | 01/07/2025 02:30 PM | #REF! | (45 min) | Caesars Palace, Neopolitan 1 | AI/ML|Breakout Session|Intermediate|Media / Entertainment / Advertising|Data Engineer|Data Scientist|Cost Governance|Data Engineering & Pipelines|Modernize Pipelines|Performance & Optimization|Governance & Compliance|AI/ML | Building a machine learning (ML) platform to support the scale of a leading advertising business is demanding. In this session, Samsung Ads will share their journey of building a scalable ML platform over Snowflake. They will present the architecture and data flows of their ML platform designed to support the development and deployment of ML models. Samsung Ads will touch upon a few key design choices during our journey, including the adoption of Snowflake, Snowflake SQL and Snowpark, which help them improve scalability, streamline workflow, and boost productivity. They will also share other important concerns, such as security, data compliance, observability, and cost optimization. This session will be recorded. | Akhlesh RichhariyaSamsung Electronic AmericaEngineerAshwin Karthik AmbalavananSamsung Electronics AmericaMachine Learning Eng |
https://events.snowflake.com/summit/sessions/agenda/session/1115898 | AD301: Our Journey Toward Testing Snowflake Procedures in the CI/CD | 01/07/2025 02:30 PM | #REF! | (45 min) | Caesars Forum, Alliance 304 | Application Development|Breakout Session|Advanced|All Industries|DevOps|IT / DBA|Software Developer|Application Development|Performance & Optimization|DevOps | Join this session to learn about Singular's journey of developing a solution for massive unit testing of Singular's stored procedures for a complex feature to be production-ready.Throughout this journey, Singular faced several challenges associated with running tests in a sandbox environment. By utilizing Snowflake's schemas and temporary tables to provide an isolated environment for the test suites, Singular developed a framework that allows one to write unit tests for stored procedures easily. These seamlessly run as part of their CI/CD build against a dedicated testing Snowflake database. This session will cover the challenges Singular faced, and the lessons they learned. This session will be recorded. | Rom AvneriSingularSoftware Engineer |
https://events.snowflake.com/summit/sessions/agenda/session/1115994 | IN021: Healthcare & Life Sciences Data Cloud Overview: Innovation and Collaboration | 01/07/2025 02:30 PM | #REF! | (45 min) | Caesars Palace, Augustus 5 | Industry Impact|Breakout Session|Non-Technical|Healthcare & Life Sciences|Public Sector|BI / Analyst|Business Executive|Data Engineer|Data Scientist|DevOps|IT / DBA|Product Manager|Security Practitioner|Software Developer|Technical Executive|Application Development|BI / Analytics|Cost Governance|Customer 360|Data Engineering & Pipelines|Data Lakes|Data Mesh|IT Operations|Maximize Economic Value|Migrations|Modernize Pipelines|Monetization|Performance & Optimization|Powered by Snowflake|Snowflake Marketplace|Snowgrid|Supply Chain|Data Sharing & Collaboration|Governance & Compliance|AI/ML | With the launch of the Healthcare & Life Sciences Data Cloud in spring 2022, Snowflake introduced borderless data access and data sharing, enabling exceptional patient outcomes and medical innovation. Snowflake industry experts will be joined onstage by life sciences provider and payer visionaries to share the latest capabilities of Snowflake's platform and how they are tackling critical use cases like patient 360 and data sharing with the Healthcare & Life Sciences Data Cloud one year post launch. This session will be recorded. | Emilio GomezJanssen Europe, Middle East & Data and Insights ITJaymin PatelBaptist Health South FloridaTechnology Manager, Jesse CugliottaSnowflakeGlobal Industry GTM Karena WeikelPriority HealthSVP Advanced AnalytiKristy HansonUnited Healthcare Services, InSenior Director Tech |
https://events.snowflake.com/summit/sessions/agenda/session/1115876 | AA208: What's New in Geospatial Analytics at Snowflake | 01/07/2025 02:30 PM | #REF! | (45 min) | Caesars Forum, Academy 410 | Accelerating Analytics|Breakout Session|Intermediate|All Industries|BI / Analyst|Data Engineer|Data Scientist|Technical Executive|BI / Analytics|Performance & Optimization | Snowflake is rapidly adding new data types, geospatial functions, and product integrations that enable geospatial analytics in the cloud. Join this session to learn about new features and future plans for geospatial analytics from Snowflake engineers who built these capabilities. We will introduce a new geometry data type and share what we are doing to ingest geo data into Snowflake more easily. This session will be recorded. | Kevin McGinleySnowflakeTechnical Director, Peter PopovSnowflakeSenior Software Engi |
https://events.snowflake.com/summit/sessions/agenda/session/1115891 | AD103: Snowflake on Snowflake: Developing a Revenue Recognition App for a Consumption-Based Business | 01/07/2025 02:30 PM | #REF! | (20 min) | Caesars Forum, East Theater C | Application Development|Theater Session|Introductory|All Industries|BI / Analyst|Data Engineer|Data Scientist|IT / DBA|Product Manager|Software Developer|Application Development|BI / Analytics|Cost Governance|Data Engineering & Pipelines|Maximize Economic Value|Data Sharing & Collaboration|AI/ML | While consumption-based pricing provides increased flexibility for consumers, it can introduce complexity associated with revenue recognition, such as rollover of unused capacity, product bundles, and contract modifications. Join this session to learn how Snowflake's own IT team has built a revenue-automation solution to manage Snowflake's consumption-based business. This session will cover how Snowflake leveraged technologies like Snowpark, tasks, streams, external functions, and secure data sharing, as well as partnered with RightRev to provide a highly reliable and cost-effective solution that recognizes usage based revenue in real time. This helped accelerate our financial closing time by 50%, from six days to thee days. | Jagan ReddyRightRevCEOSridhar KalagaSnowflakeSr. Manager, IT Engi |
https://events.snowflake.com/summit/sessions/agenda/session/1146803 | IN033: Turning Insights to Action with Automation and Data-Driven Workflow | 01/07/2025 02:30 PM | #REF! | (20 min) | Caesars Forum, West Theater A | Industry Impact|Theater Session|Non-Technical|All Industries|Business Executive|Supply Chain | Automate processes with data-driven workflows. See how Elementum connects natively to your Snowflake Data Cloud to proactively identify business exceptions or anomalies requiring action. Eliminate manual activities from key processes, such as inventory or materials management, cycle time optimization, expediting, quality assurance, and exception management. With Elementum, powered by Snowflake, there's no integration required, and the data is viewed and not moved, so it never leaves the customer's cloud. Accelerate cycle times, eliminate waste, and free up cash flow by making faster decisions and minimizing manual interactions with data-driven workflows. | Karen JenkinsElementumSVP Product |
https://events.snowflake.com/summit/sessions/agenda/session/1138753 | AA214: Workato and Snowflake: Going from Data to Done with Generative AI | 01/07/2025 02:30 PM | #REF! | (20 min) | Caesars Forum, West Theater B | Accelerating Analytics|Theater Session|Intermediate|All Industries|BI / Analyst|Business Executive|IT / DBA|Technical Executive|BI / Analytics|IT Operations|Maximize Economic Value|Powered by Snowflake|Generative AI & LLM|AI/ML | To thrive, today’s organizations must be data-driven enterprises—but not all are using data effectively to make decisions that impact business outcomes. How often have your business teams looked at data, only to have been stumped by what action to take? Join Carter Busse, CIO at Workato, as he shares how X-Ray Bot, an automated customer insights tool built with Snowflake and Workato and powered by generative AI, can drive intelligent, data-triggered automations that drive outcomes at scale. | Carter BusseWorkatoChief Information Of |
https://events.snowflake.com/summit/sessions/agenda/session/1116096 | WN102A: What's New: Cross-Cloud Platform Innovations and Cost & Performance Optimizations | 01/07/2025 02:30 PM | #REF! | (45 min) | Caesars Palace, Augustus 1 | What's New|Breakout Session|Introductory|All Industries|BI / Analyst|IT / DBA|BI / Analytics|Cost Governance|Maximize Economic Value|Migrations|Performance & Optimization | Join us to hear the latest Snowflake platform innovations including new out-of-the-box performance improvements, advanced analytics capabilities, and enhanced business continuity. You'll also learn new ways to monitor, control, and optimize spend alongside our latest built-in workload optimization. This session will be recorded. | Artin AvanesSnowflakeProduct ManagementJosh KlahrSnowflakeDirector of Product |
https://events.snowflake.com/summit/sessions/agenda/session/1155350 | MD227: How 103-year-old Pitney Bowes Modernized & Accelerated Time-to-Insight with Snowflake and Fivetran | 01/07/2025 03:00 PM | #REF! | (45 min) | Caesars Forum, Academy 416 | Modern Data Architectures|Breakout Session|Intermediate|Technology|BI / Analyst|Business Executive|Data Engineer|Data Engineering & Pipelines|Modernize Pipelines | Fortune 1000 Pitney Bowes (NYSE:PBI) is a global shipping and mailing company that provides technology, logistics, and financial services to more than 90 percent of the Fortune 500. Clients around the world rely on Pitney Bowes to remove the complexity of sending mail and parcels, creating billions of transactions - and a whole lot of data - annually. Join this session and hear from Vishal Shah, Data Architect Manager at Pitney Bowes, as he shares how the organization successfully tackled a massive data consolidation effort for its US logistics arm. When demands for operational visibility and faster decision making increased, Vishal and his team set out to move data in near real-time from 20 US sites - each with its own SQL Server database - into a single Snowflake table for near real-time dashboards and reporting, time savings and other added downstream benefits. Session attendees will come away with: Key considerations for your data stack modernization journey An understanding of the importance of real-time database replication (including low-latency log-based data capture) in powering data movement for real-time and predictive analytics, all without impacting database performance The benefits of leveraging Fivetran to ingest data from enterprise applications (databases and SaaS applications alike) into Snowflake, and the powerful business outcomes that can be delivered using this stack - no matter where you are on your data journey | Vishal ShahPitney BowesData Architect Manag |
https://events.snowflake.com/summit/sessions/agenda/session/1115908 | CO103: Unlocking Opportunity with Usage-based Pricing for Third-Party Data | 01/07/2025 03:00 PM | #REF! | (20 min) | Caesars Forum, West Theater A | Collaboration|Theater Session|Introductory|All Industries|BI / Analyst|Business Executive|Data Scientist|IT / DBA|Product Manager|Technical Executive|Data Buyers|Monetization|Snowflake Marketplace|Data Sharing & Collaboration | Traditional data buying requires large upfront expenditures, long-term commitments and bespoke licensing, creating a barrier of entry to using new datasets for data buyers. On Snowflake Marketplace, providers can offer data products with usage-based pricing options to help customers evaluate and buy data without large upfront investments. Data buyers can conduct self-serve proofs-of-concept and evaluations of third party data to prove business value. Join this session to learn how both providers and consumers can unlock new opportunities by leveraging usage-based pricing for third-party data. | Jonathan WolfSnowflakeHead of Data Collabo |
https://events.snowflake.com/summit/sessions/agenda/session/1116046 | MD301: Image Processing in Snowflake with Snowpark Python | 01/07/2025 03:00 PM | #REF! | (45 min) | Caesars Palace, Julius 16 | Modern Data Architectures|Breakout Session|Advanced|All Industries|Financial Services|Data Engineer|Data Scientist|AI/ML | Image similarity can be used in a variety of industry use cases including detecting similar or duplicate insurance claims, fraud detection, and product recommendations. Using Snowflake's support for unstructured data combined with Snowpark, learn how to detect duplicate images via multiple methods. This session will be recorded. | Michael GorkowSnowflakeField CTO Datascienc |
https://events.snowflake.com/summit/sessions/agenda/session/1151413 | MD226: 4X Faster Modernization of Legacy Workloads to Snowflake with Intelligent Automation | 01/07/2025 03:00 PM | #REF! | (20 min) | Caesars Forum, East Theater D | Modern Data Architectures|Theater Session|Intermediate|All Industries|Business Executive|Data Engineer|DevOps|Product Manager|Migrations|Modernize Pipelines|Monetization|Data Sharing & Collaboration | Snowflake is a popular cloud choice for enterprises, as it facilitates unified data across hybrid sources, supports multiple data types, eliminates the need for remodelling, and provides a decoupled architecture. However, while migrating to Snowflake, enterprises often need help with complex code, interdependencies, and technical debts. Join this insightful session to understand how automated migration can unlock Snowflake's advantages without the risk of unexpected downtime or failure. Experts from Impetus will share critical business and technical considerations for Snowflake migration. The session will also demo how LeapLogic, Impetus' automated cloud migration accelerator, ensures 4X faster transformation, validation, and operationalization of workloads to Snowflake with zero business disruption. | Adam JanecekImpetus Technologies IncDirector - SalesGaurav NigamImpetus Technologies IncSenior Solutions Arc |
https://events.snowflake.com/summit/sessions/agenda/session/1115878 | AA210: T-Mobile: Scaling Snowflake Adoption with Automated RBAC, Governance, and Chargeback | 01/07/2025 03:00 PM | #REF! | (45 min) | Caesars Forum, Academy 411 | Accelerating Analytics|Breakout Session|Intermediate|All Industries|Telecom|BI / Analyst|IT / DBA|Technical Executive|BI / Analytics|Customer 360|Maximize Economic Value|Data Sharing & Collaboration|Governance & Compliance | T-Mobile's Snowflake environment was designed to support thousands of users across hundreds of teams, while also being a pay-as-you-go platform. This model has scaled to govern over 100 separate business units and 5 petabytes of data across our organization in under two years. Join this session to hear how they set up their role-based access control process that enables their chargeback model, in addition to other governance procedures. Now, T-Mobile's confidence in their governance processes allows them to onboard even the most sensitive data sets. This session will be recorded. | Mallik ShiramagondT-MobilePrincipal Engineer, Rathnakar ChinthalaT-MobileSr.Engineer Software |
https://events.snowflake.com/summit/sessions/agenda/session/1151423 | OS000: Northern Trust Delivers on its Vision with the Power of Metadata | 01/07/2025 03:00 PM | #REF! | (45 min) | Caesars Palace, Julius 23 | Operating & Optimizing Snowflake|Breakout Session|Non-Technical|All Industries|BI / Analyst|Business Executive|Data Engineer|Data Scientist|Data Engineering & Pipelines|Modernize Pipelines|Performance & Optimization|Governance & Compliance | Northern Trust’s vision is to be their client’s most trusted financial partner by empowering the business with trusted data intelligence. Learn how Northern Trust continues to grow their client partnerships and address compliance requirements by extracting valuable insights from their metadata with a data mesh and Collibra catalog? Northern Trust, Snowflake, and Collibra have partnered to centralize metadata from tens of thousands of data assets into a unified data intelligence platform complete with data quality anomaly detection. Join this session to see how Northern Trust is deriving greater value from Snowflake, delivering higher quality data, and enabling the business to leverage data as a strategic asset.This session will be recorded. | Adrienne KiesselNorthern TrustHead of Enterprise DLaura SellersCollibraChief Product Office |
https://events.snowflake.com/summit/sessions/agenda/session/1115977 | IN004: How BlackRock Aladdin Has Built the Next Generation Data and Analytics Platform | 01/07/2025 03:00 PM | #REF! | (45 min) | Caesars Forum, Alliance 305 | Industry Impact|Breakout Session|Non-Technical|Financial Services|BI / Analyst|Business Executive|Data Engineer|Data Scientist|DevOps|IT / DBA|Product Manager|Software Developer|Technical Executive|Application Development|BI / Analytics|Data Engineering & Pipelines|Data Lakes|Data Mesh|Modernize Pipelines|Performance & Optimization|Powered by Snowflake|Data Sharing & Collaboration|DevOps|Governance & Compliance|AI/ML | This session will deep dive into how BlackRock has partnered with Snowflake to build the next generation data and analytics platform for investment managers. From data ingestion to data collaboration, BlackRock Aladdin has modernized how organizations access and bring data in, leverage data quality controls, transform data for data analytics and business requirements, and share data and insights. Hear about how cloud-native capabilities and operations from Snowflake have allowed BlackRock to meet industry trends and driven key technology and business outcomes, such as the ability to capture and retain longer time series for analytics. This session will be recorded. | Andrew WilsonBlackRockManaging Director |
https://events.snowflake.com/summit/sessions/agenda/session/1116029 | MD101: Operationalizing OneMesh | 01/07/2025 03:00 PM | #REF! | (20 min) | Caesars Forum, Industry Pavilion Theater South | Modern Data Architectures|Theater Session|Introductory|All Industries|Data Engineer|IT / DBA|Technical Executive|Data Mesh | Large organizations want to scale the benefits of data and AI across all business units and geographies. However, it is proving to be a challenging endeavor even for the most experienced companies. Existing approaches involving monolithic architectures and centralized teams are quickly becoming bottlenecks that impede achieving faster insights in response to an ever-changing market landscape. To transform Sanofi into an AI and insight-driven organization that can better support the needs of patients, they have started to operationalize a mesh-based platform named OneMesh developed on Snowflake and other supporting technologies. Join this session to hear how OneMesh democratizes data access, fuels AI and machine learning solutions, and removes bottlenecks. | Jacob KuijpersSanofiHead of Data ArchiteSnehal PatelSanofiHead of Global Data |
https://events.snowflake.com/summit/sessions/agenda/session/1116019 | MA202: How Morgan Stanley Powers Customer 360 Innovation with an Enterprise Data & Partner Strategy | 01/07/2025 03:00 PM | #REF! | (45 min) | Caesars Palace, Pompeian 1 | Marketing Analytics|Breakout Session|Intermediate|Financial Services|BI / Analyst|Data Engineer|Data Scientist|Technical Executive|BI / Analytics|Customer 360|Data Engineering & Pipelines|Marketing Analytics|Data Sharing & Collaboration|Governance & Compliance|AI/ML | This session will cover how Morgan Stanley is delivering the optimized and modern data experience for internal Morgan Stanley teams, as well as wealth customers. Key focuses will include the approach that the technology team has taken to build a data platform with Snowflake and how that has translated to enabling data science and machine learning, data collaboration, and analytics workloads to drive core business outcomes. Topics include an overview of the Morgan Stanley Wealth Management data ecosystem and how Snowflake and key partners fit in, a deep dive into data science and machine learning and analytics workloads, and the key business use cases enabled by the technology. This session will be recorded. | Nayan ShahMorgan StanleyExecutive DirectorRaja LankaMorgan StanleyExecutive Director |
https://events.snowflake.com/summit/sessions/agenda/session/1151411 | DE115: Make Data Movement Limitless And Extensible | 01/07/2025 03:00 PM | #REF! | (20 min) | Caesars Forum, East Theater C | Data Engineering|Theater Session|Introductory|All Industries|Data Engineer|Data Engineering & Pipelines | In 2017, the average number of SaaS apps used by an organization was 16, and by 2022 that number increased to 110, and this number doesn't even account for databases and files. Accessing and integrating that data into a data platform is a significant challenge for organizations. Each of these sources is a data silo with huge variability in data formats and complexity to access. In order to ensure successful data movement in a world of exponential data growth, any ELT solution that feeds the Snowflake Data Cloud must address both the most common sources and the long tail of APIs. It also must conform to every company's unique internal processes, security requirements, and external regulatory constraints. In this session, we will discuss why building on an extensible and limitless data movement framework should be considered mission-critical. We show you how Airbyte can help companies access and action off ALL the data by walking you through a demo of our new low-code connector builder and the portability of its data plane within Snowflake Data Cloud. | Michel TricotAirbyteCEO |
https://events.snowflake.com/summit/sessions/agenda/session/1140438 | MD214: Building a Data Mesh Based Powerhouse Using Qlik, Snowpark, and Data Marketplace | 01/07/2025 03:00 PM | #REF! | (45 min) | Caesars Palace, Julius 7 | Modern Data Architectures|Breakout Session|Intermediate|Financial Services|Technology|Business Executive|Data Engineer|Data Engineering & Pipelines|Data Lakes|Data Mesh|Modernize Pipelines|Governance & Compliance | CSS (Common Securitization Solutions) built and operates the largest and most advanced mortgage securitization platform in the world, supporting the Uniform Mortgage-Backed Security (UMBS) of Fannie Mae and Freddie Mac. In today's turbulent economy, having access to real-time data and insights is an imperative for all the business units at CSS. To address this challenge, CSS reimagined the modernization of its data lakehouse to realize the full potential of the cloud. CSS built its "Data Powerhouse" on Snowflake using Qlik Data Integration, Snowpark, Data Marketplace, and Data Clean Room. Using the decentralized model of data mesh, the business units can now independently hydrate and transform data as needed with the ability to seamlessly integrate across all business units. In this session, you'll learn how CSS has architected its Data Powerhouse to deliver any form of data at any speed, any scale, to any consuming user community in a secure and governed manner. This session will be recorded. | Dan PotterQlikVice President, ProdRishi RanjanCommon Securitization SolutionSr Director, Data Ma |
https://events.snowflake.com/summit/sessions/agenda/session/1116103 | WN203: What's New: Snowflake Compute Infrastructure Demo | 01/07/2025 03:00 PM | #REF! | (20 min) | Caesars Forum, Data Heroes Theater | What's New|Theater Session|Intermediate|All Industries|Data Engineer|Data Scientist|DevOps|Software Developer|Application Development|Data Engineering & Pipelines|Modernize Pipelines|DevOps|Generative AI & LLM|AI/ML | Join us to learn about the latest Snowflake platform innovation to provide developers with enhanced flexibility to work and build with data. This session will be recorded. | Muzz ImamSnowflakeSenior Product ManagNick BeckerNVIDIASenior Technical Pro |
https://events.snowflake.com/summit/sessions/agenda/session/1151422 | IN105: Unlocking the future of Smart Manufacturing powered by LTIMindtree's Manufacturing NxT | 01/07/2025 03:00 PM | #REF! | (25 min) | Caesars Forum, Industry Pavilion Theater North | Industry Impact|Theater Session|Introductory|Manufacturing|BI / Analyst|Business Executive|Data Engineer|IT / DBA|Product Manager|Technical Executive|Application Development|BI / Analytics|Data Engineering & Pipelines|Maximize Economic Value|Monetization|Performance & Optimization | The core of smart manufacturing lies in unleashing the power of data and transforming it into valuable insights, with the objective of more efficient, agile, and sustainable manufacturing operations. While establishing operations visibility and KPI tracking is critical, acquiring real-time data from disparate data sources, including legacy systems, while managing the non-standardized KPI calculations across plants and providing a unified view for effective decision-making are significant challenges. In this session, learn how LTIMindtree is helping manufacturers with data acquisition at the edge, data management, KPI monitoring, and analysis. And see how LTIMindtree's Manufacturing NxT, a "fit for purpose" persona-driven solution powered by Snowflake, is helping stakeholders with effective decision-making. | Kris KrishnamoorthyLTIMindtreeVP - Manufacturing C |
https://events.snowflake.com/summit/sessions/agenda/session/1116041 | MD207: How to Run Data Lake Workloads with Snowpark | 01/07/2025 03:00 PM | #REF! | (45 min) | Caesars Forum, Academy 405 | Modern Data Architectures|Breakout Session|Intermediate|All Industries|Data Engineer|Data Engineering & Pipelines|Data Lakes | More and more customers are switching to Snowpark for data engineering workloads, but how can it be used for data lake pipelines on Snowflake? Join this session to learn how to adopt a common framework for transforming structured and semi-structured data with Snowflake and Apache Iceberg. This session will be recorded. | Naga MahadevanSnowflakeSenior Solutions ArcPaul NeedlemanSnowflakeSenior Solutions ArcRadhakrishnan (Rad) VenkataramaniSnowflakeTech Lead, Snowpark |
https://events.snowflake.com/summit/sessions/agenda/session/1155353 | OS106: Creating Beautiful Snowscapes: Maximizing the Value of Snowflake Throughout Your Enterprise | 01/07/2025 03:00 PM | #REF! | (20 min) | Caesars Forum, West Theater B | Operating & Optimizing Snowflake|Theater Session|Introductory|All Industries|BI / Analyst|Business Executive|Data Engineer|Data Scientist|IT / DBA|Product Manager|Software Developer|Technical Executive|BI / Analytics|Cost Governance|Customer 360|Data Engineering & Pipelines|IT Operations|Migrations|Modernize Pipelines|Monetization|Performance & Optimization|Data Sharing & Collaboration|Generative AI & LLM|AI/ML | The current economic climate forces every company to achieve more with less. Join SnapLogic and learn how a modern, intelligent integration platform as a service provides more ways for you to extract value from Snowflake and thrive. Learn specifics on migrating on-premises data, consolidating data from a variety of sources, pushing Snowflake data to business applications, deploying APIs to support limitless data, and more. Walk away with tips that will spark your imagination on how to employ AI and create value with Snowflake, which serves data engineers, IT, and business users. Also learn innovative ways to cut complexity, simplify your stack, and automate the flow of Snowflake-powered data across your enterprise with ease. | Michael NixonSnapLogicVP, Cloud Data Marke |
https://events.snowflake.com/summit/sessions/agenda/session/1167903 | ML001: AI Shaping the Future: Navigating Ethics, Collaboration, and Inclusion | 01/07/2025 03:30 PM | #REF! | (1 hour) | Caesars Forum, Industry Pavilion Theater South | AI/ML|Activity|Non-Technical|All Industries|Business Executive|Technical Executive|Generative AI & LLM|AI/ML | This panel discussion explores the vital role of AI in shaping the future of businesses and upholding AI ethics. Panelists delve into the intersectionality of these topics, highlighting how they contribute to ethical and inclusive strategies. They emphasise collaborative efforts, and data-driven insights, and address the challenges and benefits of AI adoption. Transparency, explainability, and collaboration are essential in maintaining ethical standards within the realm of AI. | Ms. Hilda DaviesSnowflakeSenior Manager, Fiel |
https://events.snowflake.com/summit/sessions/agenda/session/1138764 | AA109: How eBay Enables Self-Service Analytics & Deep Data Exploration at Cloud Scale with Tellius | 01/07/2025 03:30 PM | #REF! | (20 min) | Caesars Forum, East Theater C | Accelerating Analytics|Theater Session|Introductory|Technology|BI / Analyst|BI / Analytics | In today's fast-paced business environment, organizations need a bimodal approach to analytics that includes a consistent enterprise-wide approach to reporting known metrics and KPIs (Mode 1) coupled with agile and iterative data exploration (Mode 2). Most organizations overlook Mode 2 analytics or try to lump both modes together with traditional BI, analytics, and data science tools, which leads to delays and bottlenecks as users seek to overcome the rigidity of these legacy systems. In this session, we will discuss eBay's journey to unlocking self-service exploratory analytics and diving deeper into volumes of unaggregated data in Snowflake via a bimodal analytics approach. We will also share best practices for rapid exploration and insights generation of cloud scale data with AI-powered analytics to make better, faster, fact-based decisions. | Hardik ChhedaTelliusChief Product OfficeShruti GuptaeBayProduct Manager, Fin |
https://events.snowflake.com/summit/sessions/agenda/session/1115935 | CY203: Search Optimization Is a Breakthrough for Security Applications | 01/07/2025 03:30 PM | #REF! | (45 min) | Caesars Palace, Julius 19 | Cybersecurity|Breakout Session|Intermediate|All Industries|Financial Services|Healthcare & Life Sciences|Manufacturing|Media / Entertainment / Advertising|Public Sector|Technology|Telecom|Business Executive|Product Manager|Security Practitioner|Software Developer|Technical Executive|Application Development|BI / Analytics|Cost Governance|Cybersecurity|Data Engineering & Pipelines|Data Lakes|Maximize Economic Value|Performance & Optimization|Powered by Snowflake|Data Sharing & Collaboration|AI/ML | Snowflake's search-optimization feature allows efficient "needle in a haystack" style queries over very large amounts of data. This is a common pattern in security applications. In this talk we will describe this feature, the uses cases that benefit from it, and real-world benchmark results. This session will be recorded. | Felix WeigelSnowflake Inc.Software EngineerRussell LeightonPantherPrincipal Engineer |
https://events.snowflake.com/summit/sessions/agenda/session/1115947 | DE105: Rapid Fire Use Cases and Overview of Snowpark: A Data Superhero Panel | 01/07/2025 03:30 PM | #REF! | (20 min) | Caesars Forum, Data Heroes Theater | Data Engineering|Theater Session|Introductory|All Industries|BI / Analyst|Data Engineer|Data Scientist|DevOps|Data Engineering & Pipelines|Migrations|DevOps|AI/ML | Hear from Snowflake Data Superheroes on their tips and tricks for getting the most out of Snowpark. This session will be recorded. | Chris HastieInterworksData Practice LeadChristopher MarlandAimpoint DigitalSnowflake Solutions Mr. Piers BatchelorAstrato AnalyticsSenior Product ManagStewart BrysonNoumenalCEO & Data Product C |
https://events.snowflake.com/summit/sessions/agenda/session/1138738 | IN205: How McKesson Provides Self-Service Data Access to Pharmacies with Snowflake and Matillion | 01/07/2025 03:30 PM | #REF! | (45 min) | Caesars Forum, Alliance 304 | Industry Impact|Breakout Session|Intermediate|Healthcare & Life Sciences|BI / Analyst|Business Executive|Data Engineer|Data Scientist|BI / Analytics|Data Engineering & Pipelines|Maximize Economic Value|Migrations|Modernize Pipelines|Performance & Optimization|Data Sharing & Collaboration | McKesson wanted to expand its analytics capabilities and provide self-service data access to pharmacies to improve efficiencies and provide better service to its customers-ensure that prescriptions are filled, picked up, and delivered on a timely basis while minimizing errors. Attend this session and find out how McKesson sunset its legacy pharmacy system and migrated to Snowflake with Matillion. With Matillion, McKesson was able to cut down overnight data load times by 3x and development efforts by 30-40%. This allowed them to increase and scale Snowflake workloads, enabling real-time data analytics and creating a foundation for AI solutions. Their new pharmacy system with expanded analytics capabilities improved their supply chain and prescription fulfillment efficiencies. They were also able to monetize their data by providing self-service access to independent pharmacies. This session will be recorded. | Brad MillerMcKessonDirector, Data StratSridevi PotuMcKessonHead of Data Analyti |
https://events.snowflake.com/summit/sessions/agenda/session/1116051 | ML102: AI, Data Science and Machine Learning (AI/ML) in the Data Cloud Today and Tomorrow | 01/07/2025 03:30 PM | #REF! | (45 min) | Caesars Forum, Academy 415 | AI/ML|Breakout Session|Introductory|All Industries|Business Executive|Data Engineer|Data Scientist|Product Manager|Technical Executive|Generative AI & LLM|AI/ML | Successful adoption of AI/ML are increasingly essential for competitive success: -How do you discover, collect, curate, and access the best data sets for optimal business outcomes in AI/ML? -How do you avoid fractured data stacks and governance to accelerate successful AI deployments? -How do you easily scale your data stack to the demands of AI/ML? -How do you enable seamless collaboration and maximize productivity between ML practitioners and end users-within your own organization and beyond? Enter the Snowflake Data Cloud! In this executive-level session, we will delve into industry trends and challenges, and explore how the Snowflake Data Cloud can accelerate and scale your AI/ML adoption. Hear our perspective, current capabilities, roadmap, and vision for AI/ML. Join us to see how the Snowflake Data Cloud can drive success for you in this exciting field. This session will be recorded. | Miles AdkinsSnowflakeData Cloud PrincipalTorsten GrabsSnowflakeSenior Director, Pro |
https://events.snowflake.com/summit/sessions/agenda/session/1138732 | AA000: How Blackstone Unified Data and Business Teams in a Single Data Platform | 01/07/2025 03:30 PM | #REF! | (45 min) | Caesars Forum, Academy 410 | Accelerating Analytics|Breakout Session|Non-Technical|Financial Services|BI / Analyst|Business Executive|Data Engineer|Data Scientist|BI / Analytics|Maximize Economic Value | Blackstone is the world's largest alternative asset manager. With $975 billion in assets under management. It serves both institutional and individual investors by building strong businesses that deliver lasting value. In this session, you'll find out how Blackstone uses advanced analytics capabilities to power their business through portfolio analysis, root cause analysis, and scenario modeling to create operational resilience, break down data silos, and increase business value while fortifying enterprise security and governance. Attendees will learn the vital role of Snowflake in scaling Blackstone's data operations and how Sigma helps them unify data and business teams through new functionalities such as Input Tables and Live Edit to make better decisions faster and more consistently across their business. Join this session to learn: - How Snowflake powers operational resilience - How Blackstone unifies data and business teams to achieve more - How Sigma on Snowflake creates a single governed environment for regulated financial data This session will be recorded. | Brian MurphySigma ComputingChief Revenue OfficeChris NapoliSnowflakeHead of Industry, WeJai SubrahmanyamThe Blackstone GroupSenior Vice Presiden |
https://events.snowflake.com/summit/sessions/agenda/session/1138750 | DE112: How to Unleash Your Snowflake Data While Managing Risk and Costs | 01/07/2025 03:30 PM | #REF! | (45 min) | Caesars Forum, Academy 418 | Data Engineering|Breakout Session|Introductory|All Industries|Business Executive|IT / DBA|Product Manager|Technical Executive|Cost Governance|Data Sharing & Collaboration|Governance & Compliance | To unleash the power of your data, you need to empower your team. Data analysts and scientists should be able to quickly find and use data, enabling them to create new analyses and insights that drive business value. But, at the same time, how can you manage both data security risk and costs? In this session, we'll share how a sloped governance approach can help build an experience that empowers teams to unleash your Snowflake data while adhering to enterprise standards. Attendees will also learn how Capital One implemented a data sandbox environment using sloped governance. This session will be recorded. | Nagender GurramCapital One SoftwareSr. Director, SoftwaPatrick BarchCapital One SoftwareSr. Director, Produc |
https://events.snowflake.com/summit/sessions/agenda/session/1151407 | AD004: Bring Business Critical Data Apps to Life with NTT DATA's suite of Snowflake Native Apps | 01/07/2025 03:30 PM | #REF! | (20 min) | Caesars Forum, East Theater D | Application Development|Theater Session|Non-Technical|All Industries|Business Executive|DevOps|Snowflake Marketplace | Fast track your data application projects and improve business outcomes with NTT DATA's accelerators, now available in Snowflake Marketplace. Discover how our "Cost Optimization for Snowflake" solution diagnoses your Snowflake environment for optimal performance and cost, and how our "Test Automation with Snowflake" Snowflake Native App monitors and enhances your data quality. With our "Accounts Payable Auditing" Snowflake Native App, you can identify duplicate payments within the SAP ecosystem.Learn about our Patient Treatment Optimizer which provides doctors and insurers with care plans for patients with chronic diseases. Boost your data-driven enterprise journey. | Kevin TraceyNTT DATADirector - Data ArchVinayak ShindeNTT DATAInnovation Lead, Dat |
https://events.snowflake.com/summit/sessions/agenda/session/1140448 | AA219: Nothing is Truly Ad Hoc with Hex and Snowflake | 01/07/2025 03:30 PM | #REF! | (45 min) | Caesars Palace, Julius 5 | Accelerating Analytics|Breakout Session|Intermediate|Technology|BI / Analyst|BI / Analytics | See how ClickUp used Hex and Snowflake to take one-off questions about churn, retention, and activation turned into an actionable, interactive reports that their teams use daily to engage with customers. Learn how to: - Explore customer success data in novel ways - Build an interactive operational reports - Shorten the feedback loop with stakeholders This session will be recorded. | Matt DavidHexProduct MarketingSai SrigirirajuClickUpLead, Growth Product |
https://events.snowflake.com/summit/sessions/agenda/session/1116087 | OS207A: Best Practices for Snowflake's Native Cost Optimization Capabilities | 01/07/2025 03:30 PM | #REF! | (45 min) | Caesars Palace, Neopolitan 1 | Operating & Optimizing Snowflake|Breakout Session|Intermediate|All Industries|Business Executive|Technical Executive|Cost Governance|Maximize Economic Value|Performance & Optimization | As organizations scale Snowflake usage to more workloads and use cases, managing and optimizing costs relative to value are critical to success. In this session, Snowflake product management will share our approach to managing costs at Snowflake across the three pillars of visibility, control, and optimization. You'll see and learn how to use the latest cost optimization features in Snowflake. This session will be recorded. | Samartha ChandrashekarSnowflakeManager, Product Man |
https://events.snowflake.com/summit/sessions/agenda/session/1115897 | AD300: Apps Native to Legend and Snowflake: Scalable Governed Data Collaboration at Goldman Sachs | 01/07/2025 03:30 PM | #REF! | (45 min) | Caesars Forum, Academy 404 | Application Development|Breakout Session|Advanced|Financial Services|BI / Analyst|Business Executive|Data Engineer|Data Scientist|Product Manager|Security Practitioner|Software Developer|Technical Executive|Application Development|BI / Analytics|Modernize Pipelines|Monetization|Performance & Optimization|Snowflake Marketplace|Data Sharing & Collaboration|Governance & Compliance | Join this session to learn how Goldman Sachs is utilizing the Snowflake Native App Framework to enable scalable governed data collaboration. In this session, Goldman Sachs will share how they leverage Snowflake to scale their technology-led businesses by leveraging the Snowflake Native App Framework in harmony with their open-source semantic layer, Legend, to boost performance, productivity, and governance for quants, researchers, data practitioners, ensuring data is accessible firmwide with minimum friction. They'll then dive into how they utilize Snowflake Secure Data Sharing and the Snowflake Native App Framework to seamlessly onboard market and alternative data from a variety of partners to serve their clients. They'll walk through how they are able to operationalize these pipelines while reducing the cost of onboarding new data, resulting in being able to determine a datasets utility from weeks to days, ultimately providing significant information advantages for the firm. This session will be recorded. | Abhishek NarangGoldman SachsData EngineerAjita SharmaSnowflakeSr. Solutions ArchitPierre De BelenGoldman SachsManaging Director & |
https://events.snowflake.com/summit/sessions/agenda/session/1115988 | IN015: How Woodside Energy Enables Data-Driven Business Strategy on Snowflake | 01/07/2025 03:30 PM | #REF! | (45 min) | Caesars Palace, Julius 13 | Industry Impact|Breakout Session|Non-Technical|Manufacturing|BI / Analyst|Business Executive|Data Engineer|Data Scientist|DevOps|IT / DBA|Product Manager|Security Practitioner|Software Developer|Technical Executive|BI / Analytics|Data Engineering & Pipelines|Data Lakes|Data Mesh|Maximize Economic Value|Performance & Optimization|Supply Chain|Data Sharing & Collaboration|Governance & Compliance|AI/ML | As a global energy company, Woodside Energy leverages data to support strategic areas of focus including operational intelligence, expansion, and innovation, with a focus on time to value. In this session, Woodside Energy will share how they enabled a data-driven business strategy with Snowflake to standardize data use, ensure data quality, and develop data products for consumption, and will explain how Snowflake's "as a service" capabilities simplified this journey. This session will be recorded. | Simon YeomanWoodside EnergyData Governance & Fu |
https://events.snowflake.com/summit/sessions/agenda/session/1167429 | MD119: How Atlan Helps Cut Cloud Costs and Optimize Your Data Stack | 01/07/2025 03:30 PM | #REF! | (20 min) | Caesars Forum, West Theater A | Modern Data Architectures|Theater Session|Introductory|All Industries|Data Engineer|IT / DBA|Technical Executive|Community|Data Engineering & Pipelines|Data Mesh|Governance & Compliance | The modern data stack makes it easier than ever to spin up, integrate, and connect all of your organization’s data. That same convenience can quickly make your data environment unmanageable and difficult to navigate, potentially leading to unexpected and excess costs. Join Austin Kronz, Director of Data Strategy at Atlan, to learn how Atlan customers are using active metadata to identify inefficiencies, optimize their data pipelines, and clean up their data estate for data producers and consumers alike. | Austin KronzAtlanDirector of Data Str |
https://events.snowflake.com/summit/sessions/agenda/session/1115869 | AA201: Fidelity and Snowflake: Salesforce Integration Using Tableau CRM Connector | 01/07/2025 03:30 PM | #REF! | (20 min) | Caesars Forum, West Theater B | Accelerating Analytics|Theater Session|Intermediate|All Industries|Financial Services|BI / Analyst|Data Engineer|Data Scientist|IT / DBA|Technical Executive|BI / Analytics|Cost Governance|Data Engineering & Pipelines|Data Lakes|Modernize Pipelines|Performance & Optimization | Looking to integrate Salesforce data to Snowflake seamlessly, with minimum code and configuration? Look no further. In this session, the team at Fidelity Investments will share how they did exactly that for their Enterprise Data Lake initiative. Join this session to learn how to accelerate your data movement from Salesforce to Snowflake using the Salesforce Tableau CRM connector. Learn how this work enabled Fidelity to provide instantaneous data to stakeholders, helping them make data-driven decisions and derive meaningful insights, leading to improved performance and reduced costs. | Elizabeth RossoFidelity InvestmentsSenior Software EngiKalaiselvi KabaliFidelity InvestmentsDirector of Architec |
https://events.snowflake.com/summit/sessions/agenda/session/1116108 | WN208A: What's New: Streaming with Snowflake | 01/07/2025 04:00 PM | #REF! | (45 min) | Caesars Palace, Augustus 3 | What's New|Breakout Session|Intermediate|All Industries|Data Engineer|DevOps|Software Developer|Application Development|Data Engineering & Pipelines|Modernize Pipelines|Performance & Optimization|AI/ML | Join us to learn about the latest Snowflake enhancements that remove the boundaries between streaming and batch, enabling data pipelines to be created more easily than ever before. This session will be recorded. | John RiewertsAcousticSenior Vice PresidenSaras NowakSnowflakeSenior Product ManagXin HuangSnowflakeProduct Manager |
https://events.snowflake.com/summit/sessions/agenda/session/1115922 | CO303: Unlocking Marketing Attribution Using Snowpark and Data Clean Rooms | 01/07/2025 04:00 PM | #REF! | (45 min) | Caesars Palace, Julius 23 | Collaboration|Breakout Session|Advanced|All Industries|BI / Analyst|Business Executive|Data Scientist|Product Manager|Security Practitioner|Technical Executive|Application Development|Marketing Analytics|Data Sharing & Collaboration|Governance & Compliance|AI/ML | A common business objective in the digital marketing space is marketing attribution. Companies have many marketing outlets-online search, display ads, social networks, and more. Numerous data points are required to determine how past campaigns performed on each outlet and where to spend advertising dollars in the future. This is accomplished using complex algorithms to identify which touchpoint is attributed to that customer's sales transaction. However, the data required as inputs into this model does not all reside with the marketer and must be accessed from each media publishing outlet in a privacy protected manner. The solution: implement a Data Clean Room using the Snowflake Native App Framework and Snowpark to perform the attribution measurement. The outcome will measure the incremental effectiveness of the addressable media spend, allowing the marketer to optimize future spend decisions. This session will be recorded. | Kala GovindarajanSnowflake Inc.Senior Data Cloud ArMichael RaineySnowflake Inc.Principal Solutions |
https://events.snowflake.com/summit/sessions/agenda/session/1116077 | OS103: How Toyota Financial Services Maximizes Value with Snowflake | 01/07/2025 04:00 PM | #REF! | (45 min) | Caesars Forum, Alliance 305 | Operating & Optimizing Snowflake|Breakout Session|Introductory|Financial Services|Manufacturing|Business Executive|IT / DBA|Technical Executive|BI / Analytics|Cost Governance|Maximize Economic Value|Performance & Optimization | A well thought-out data modernization program is central to delivering a successful digital transformation and can provide big benefits if implemented correctly. At Toyota Financial Services, we've implemented a modern enterprise data platform that delivers cost savings, increases productivity, and unlocks new value in the business. We've learned a number of lessons along the way and, in this session, we'll share lessons learned, the approach we've taken, our architecture, and our organizational and execution model to maximize value for our business partners. This session will be recorded. | Suren VallabhajosyulaToyota Financial ServicesHead of Data Archite |
https://events.snowflake.com/summit/sessions/agenda/session/1115995 | IN022: Manufacturing Industry Overview: Smart Manufacturing and Supply Chain Revolution | 01/07/2025 04:00 PM | #REF! | (45 min) | Caesars Palace, Augustus 5 | Industry Impact|Breakout Session|Non-Technical|Manufacturing|BI / Analyst|Business Executive|Data Engineer|Data Scientist|DevOps|IT / DBA|Product Manager|Security Practitioner|Software Developer|Technical Executive|Application Development|BI / Analytics|Cost Governance|Customer 360|Data Engineering & Pipelines|Data Lakes|Data Mesh|IT Operations|Maximize Economic Value|Migrations|Modernize Pipelines|Monetization|Performance & Optimization|Powered by Snowflake|Snowflake Marketplace|Snowgrid|Supply Chain|Data Sharing & Collaboration|Governance & Compliance|AI/ML | Join leaders in manufacturing to learn how the Snowflake's Data Cloud powers supply chain performance and smart manufacturing with data collaboration and edge-driven advanced analytics in the cloud. This session will be recorded. | Ravi SankarHoneywell International, Inc.VP - IT analyticsRebecca VickeryEDF EnergyData Science LeadTim LongSnowflakeGlobal Head of Manuf |
https://events.snowflake.com/summit/sessions/agenda/session/1167433 | OS216: Unleashing Snowflake Superpowers: Insider Secrets and Optimization Best Practices | 01/07/2025 04:00 PM | #REF! | (45 min) | Caesars Forum, Academy 416 | Operating & Optimizing Snowflake|Breakout Session|Intermediate|All Industries|Technology|Data Engineer|Data Scientist|DevOps|IT / DBA|Cost Governance|Maximize Economic Value|Performance & Optimization | Snowflake is the super powerful Data Cloud. Are you using it to its full potential? As your business grows, you need to ensure your analytics can scale to keep up, while still managing costs. But identifying and resolving the performance bottlenecks takes time, and most data teams need to focus on building rather than tuning. How can you guarantee that your optimization efforts will make a meaningful impact? Our panel discussion brings together a diverse group of professionals who lead data teams and optimization projects. Through their collective expertise, attendees will gain valuable insights into the techniques used to identify meaningful performance improvements. Whether you are a seasoned Snowflake professional or a beginning SQL query writer, this session will provide practical guidance and real-world experience to help you determine what optimizations will make the most significant impact. This session will be recorded. | Meredith AlderBlueskyFounding EngineerMingsheng HongBluesky DataCEO and Co-founderRex WalkerIntuitiveDirector, Data Archi |
https://events.snowflake.com/summit/sessions/agenda/session/1116095 | WN101A: What's New: Unstructured Data with Snowflake | 01/07/2025 04:00 PM | #REF! | (45 min) | Caesars Palace, Augustus 1 | What's New|Breakout Session|Introductory|All Industries|Data Engineer|Data Scientist|IT / DBA|Software Developer|Technical Executive|Application Development|Data Engineering & Pipelines|Data Lakes|Data Mesh|Migrations|Modernize Pipelines|Generative AI & LLM|AI/ML | Join us to learn about the latest Snowflake innovations and automations to help you understand and work with unstructured data at scale. This session will be recorded. | Bhanu PrakashSnowflakeSenior Product ManagSaurin ShahSnowflakeSr. Product manager |
https://events.snowflake.com/summit/sessions/agenda/session/1116074 | OS100: How JPMorgan Chase Merchant Services Reduced TCO While Accelerating Product Innovation | 01/07/2025 04:00 PM | #REF! | (45 min) | Caesars Forum, Academy 405 | Operating & Optimizing Snowflake|Breakout Session|Introductory|Financial Services|Business Executive|Technical Executive|Cost Governance|Maximize Economic Value|Performance & Optimization | Learn about how JPMorgan Chase Merchant Services optimized with Snowflake to drive down TCO, accelerate performance, and power modern capabilities. This session will outline how the team approached implementing Snowflake, which was in production in less than seven months, as well as the business-critical outcomes derived, including performance enhancements well beyond 1,000%. Finally, learn about how the team supported client retention and acquisition with faster customer insights and faster time to market for new product development. This session will be recorded. | Shawn RileyJPMorgan ChaseExecutive Director -Syed HusainJPMorgan ChaseExecutive Director |
https://events.snowflake.com/summit/sessions/agenda/session/1115663 | AA101: Universal Destinations & Experiences Leverages Snowflake to Fuel Personalization Initiatives at Scale | 01/07/2025 04:00 PM | #REF! | (45 min) | Caesars Palace, Pompeian 1 | Accelerating Analytics|Breakout Session|Introductory|All Industries|Media / Entertainment / Advertising|BI / Analyst|Business Executive|Data Scientist|Software Developer|BI / Analytics|Customer 360|Data Lakes | Nothing earns business and loyalty more than meeting customers at the moment with relevant, meaningful experiences. For Universal Destinations & Experiences, this not only extends to when guests are in-park but also when guests are online planning their visits. A more personalized experience, online and in-park, can increase customer satisfaction and wallet size, and results in a strong brand relationship. For Universal Destinations & Experiences, delivering personalization at scale required building a strong data foundation to get a full, 360-degree view of their guests. Join this session to learn how Universal Destinations & Experiences enhanced their cloud-native data lake by leveraging the Data Cloud to unify, integrate, analyze, and share previously siloed data in a secure, governed, and compliant manner.This session will be recorded. | Ankur JainMerkleSVP, Cloud Practice TJ JanaUniversal Destinations & ExperDirector - Data/AI & |
https://events.snowflake.com/summit/sessions/agenda/session/1115888 | AD003: How PowerSchool Is Leading a Data-Led Revolution in Education Attainment Powered by Snowflake | 01/07/2025 04:00 PM | #REF! | (45 min) | Caesars Palace, Julius 16 | Application Development|Breakout Session|Non-Technical|Public Sector|BI / Analyst|Data Engineer|Data Scientist|DevOps|Product Manager|Software Developer|Technical Executive|Application Development|Data Engineering & Pipelines|Data Lakes|Data Mesh|Performance & Optimization|Powered by Snowflake|Data Sharing & Collaboration|DevOps|Governance & Compliance|AI/ML | Join this session to learn how PowerSchool, the leading provider of cloud-based education software, built its Connected Intelligence product on Snowflake, unlocking new collaboration opportunities. PowerSchool will delve into the dichotomy between the growing demand for greater cross-agency, unified data access to support individuals' transition from birth to workforce, and the ever-rising threat of data breaches and ransomware attacks in today's digital landscape. PowerSchool will discuss how PowerSchool's Connected Intelligence, Powered by Snowflake, for the first time, allows state agencies to successfully connect disparate data across the education-to-workforce continuum to ensure every individual is set up for lifelong success. This session will be recorded. | Shivani StumpfPowerSchoolSenior Vice Presiden |
https://events.snowflake.com/summit/sessions/agenda/session/1115889 | AD100: Migrating an OLAP Workload w/ Stored Procedures to Achieve Faster Performance w/ Lower Cost | 01/07/2025 04:00 PM | #REF! | (45 min) | Caesars Forum, Academy 411 | Application Development|Breakout Session|Introductory|All Industries|Telecom|BI / Analyst|Data Engineer|DevOps|IT / DBA|Product Manager|Software Developer|Application Development|Performance & Optimization | AT&T had a highly tuned, interactive reporting application built on Teradata. With over 100k internal users initiating over 2 million data calls per day, it leveraged every Teradata tool to achieve the sub-second data response time. Initially, AT&T was skeptical that Snowflake could match the performance of their Teradata-based application. However, during the migration process, they leveraged stored procedures for the API calls from their Java-based frontend. This allowed them to "pin" the stored procedures to specific virtual warehouses within each procedure, thus matching individual procedure workloads to corresponding warehouses. This gave AT&T several advantages over Teradata macro API calls, including the ability to leverage result caching in addition to warehouses. This successful migration provided a cost-effective alternative with equivalent performance, ultimately benefiting the company's bottom line. This session will be recorded. | Christopher GoldstonAT&TLead-Solution ArchitShawn RamseySnowflakeMigration RSA |
https://events.snowflake.com/summit/sessions/agenda/session/1116012 | MA103: The New Playbook: How Data Is Transforming Marketing & Fan Engagement in Professional Sports | 01/07/2025 04:20 PM | #REF! | (45 min) | Caesars Palace, Julius 7 | Marketing Analytics|Breakout Session|Introductory|Media / Entertainment / Advertising|BI / Analyst|Data Engineer|Data Scientist|Technical Executive|Community|Customer 360|IT Operations|Marketing Analytics|Maximize Economic Value|Migrations|Modernize Pipelines|Monetization|Snowflake Marketplace|Snowgrid|Supply Chain|Unistore|DevOps|Governance & Compliance | On the field, professional sports teams have some of the most recognizable brands around. Off the field, they're small businesses in finite markets with a lot of competition. In order to fuel revenue growth, improve business efficiencies, and drive fan engagement, teams need to continuously find new and innovative ways to grow their businesses. This session will cover how professional sports organizations from the biggest leagues in the world overcame their early data challenges with Snowflake to better understand their fans, improve customer engagement, and ultimately drive revenue growth. This session will be recorded. | Bill StrattonSnowflakeGlobal Industry LeadChris BrummettChicago CubsDirector, Software DJosh AuterOrlando MagicSr. Data EngineerMadison KochMinnesota Vikings FootballData Solutions ArchiPaul CorbaniSan Francisco GiantsSenior Solution Arch |
https://events.snowflake.com/summit/sessions/agenda/session/1155359 | AD200A: Hands-On Lab: Building an API for Your Applications with Snowflake | 01/07/2025 04:30 PM | #REF! | (2 hours) | Caesars Forum, Alliance 314 | Application Development|Hands-on-Lab|Intermediate|All Industries|Software Developer|Application Development | Modern applications often want to retrieve that data through REST APIs. Learn how to build a custom API to power your applications via Snowflake. In this lab, you will build, deploy, and operate a REST API built on Snowflake. This API consists of reporting endpoints from data stored in Snowflake. You will leverage Python and Flask for the application logic and test the API with a simple web page and command-line tools. | Brad CulbersonSnowflakeData Platform ArchitBrian HessSnowflakeField CTO |
https://events.snowflake.com/summit/sessions/agenda/session/1155360 | DE200A: Hands-On Lab: Data Engineering Pipelines with Snowpark Python | 01/07/2025 04:30 PM | #REF! | (2 hours) | Caesars Forum, Alliance 309 | Data Engineering|Hands-on-Lab|Intermediate|All Industries|Data Engineer|Data Scientist|DevOps|Software Developer|Data Engineering & Pipelines|Modernize Pipelines|DevOps | Did you attend the Data Engineering Pipelines with Snowpark Python session? Or do you want to get step-by-step guided intruction on building data engineering pipelines with Python? In this hands-on lab, you'll walk through the end-to-end process of creating a robust data engineering pipeline using Snowpark Python stored procedures. That pipeline will process data incrementally, be orchestrated with Snowflake Tasks, and be deployed via a CI/CD pipeline. You'll also learn how to use Snowflake's new developer CLI tool and Visual Studio Code extension. | Christen MarshallSnowflakeSolutions Engineer, David RichertSnowflake ComputingCloud Platform Archi |
https://events.snowflake.com/summit/sessions/agenda/session/1155362 | OS200A: Hands-On Lab: for Cost Optimization in Snowflake | 01/07/2025 04:30 PM | #REF! | (2 hours) | Caesars Forum, Alliance 310 | Operating & Optimizing Snowflake|Hands-on-Lab|Intermediate|All Industries|DevOps|IT / DBA|Software Developer|Technical Executive|Cost Governance|Maximize Economic Value|Performance & Optimization | Follow along for this hands-on lab on optimzing cost and performance inside Snowflake. Topics covered include visibility, control, and optimization of Snowflake spend. | |
https://events.snowflake.com/summit/sessions/agenda/session/1120282 | Snowflake Summit Opening Keynote | 01/07/2025 09:00 AM | #NAME? | (2 hours, 15 min) | Caesars Palace, Octavius Ballroom | Keynote|Non-Technical|All Industries|BI / Analyst|Business Executive|Data Engineer|Data Scientist|DevOps|IT / DBA|Product Manager|Security Practitioner|Software Developer|Technical Executive|Application Development|Cost Governance|Customer 360|Cybersecurity|Data Engineering & Pipelines|Marketing Analytics|Performance & Optimization|Powered by Snowflake|Data Sharing & Collaboration|Generative AI & LLM|AI/ML | Think you know Snowflake? Think again. Snowflake has been on a journey to break down silos to help organizations put their data to work. From high-performance analytics at scale to global collaboration across shared data to enabling full programmability without sacrificing governance, Snowflake continues to redefine what's possible with data ... and we're just getting started. Join Snowflake CEO Frank Slootman, President of Product Benoit Dageville, SVP of Product Christian Kleinerman, and Senior Director of Engineering and Founding Engineer Allison Lee as they unveil the next wave of innovations - including advancements in open table formats, generative AI and LLMs, flexible programmability with Snowpark, and much more. You'll also see live demos from Snowflake's engineering and product teams, and hear directly from some of the most well-known global organizations on how the Snowflake Data Cloud is helping them unlock their biggest data ambitions. This session will be recorded. | Alex IzydorczykCybersynFounder and CEOAllison LeeSnowflakeSr. Director, EngineBenoit DagevilleSnowflakeCo-Founder & PresideChristian KleinermanSnowflakeSVP, ProductDash DesaiSnowflakeLead Developer AdvocFrank SlootmanSnowflakeChairman and Chief EJeff HollanSnowflakeDirector, Product MaMihir ShahFidelityCIO, Enterprise HeadMona AttariyanSnowflakeDirector of MLPolita PaulusSnowflakePrincipal EngineerSaras NowakSnowflakeSenior Product ManagSridhar RamaswamySnowflakeSVP Snowflake, FoundUnmesh JagtapSnowflakePrincipal Product Ma |
https://events.snowflake.com/summit/sessions/agenda/session/1115978 | IN005: Freddie Mac's Offensive Data Strategy to Unlock Business Value | 02/07/2025 11:00 AM | #REF! | (20 min) | Caesars Forum, Industry Pavilion Theater North | Industry Impact|Theater Session|Non-Technical|Financial Services|BI / Analyst|Business Executive|Data Engineer|Data Scientist|DevOps|IT / DBA|Product Manager|Technical Executive|BI / Analytics|Cost Governance|Customer 360|Data Engineering & Pipelines|Data Lakes|Data Mesh|Modernize Pipelines|Performance & Optimization|Data Sharing & Collaboration|Governance & Compliance | Led by CDOs, firms across all industries are moving from a defensive data position to an offensive data strategy. Having secured and governed their data to mitigate data risk with a modern data architecture, they are now looking to harness the power of data and deliver business value-whether through cost optimization or revenue generation. At Freddie Mac, our offensive data strategy leverages Snowflake to unlock new opportunities with the right data on the right platform with the right capabilities. In this session, hear about how we have enabled advanced insights development by accelerating analytics, and offered services to accelerate overall data products. As we modernize our ecosystem, Snowflake is in the middle of this journey and has already unlocked many use cases for Freddie Mac. Join us as we discuss these use cases and outline our data strategy. | Aravind JagannathanFreddie MacVice President and C |
https://events.snowflake.com/summit/sessions/agenda/session/1116028 | MD100: How ExxonMobil Uses Machine Learning to Improve Data Quality | 02/07/2025 11:00 AM | #REF! | (45 min) | Caesars Forum, Academy 405 | Modern Data Architectures|Breakout Session|Introductory|Manufacturing|IT / DBA|Data Engineering & Pipelines|AI/ML | In the digital era, new insights are required across global, multi-capability data sets. When data that was inconsistent, voluminous, and siloed, ExxonMobil needed a better way to maximize the value of their data and improve digital agility. Join this session to learn how ExxonMobil uses supervised machine learning with Snowflake and Tamr to improve task performance from weeks to hours and build trust in data, generating significant returns. This session will be recorded. | Austen SmackExxonMobilData Platform and SeGareth DaviesExxonMobilPrincipal Data Archi |
https://events.snowflake.com/summit/sessions/agenda/session/1115909 | CO104: Unifying Patient Population Data Across Communities | 02/07/2025 11:00 AM | #REF! | (20 min) | Caesars Forum, East Theater C | Collaboration|Theater Session|Introductory|Healthcare & Life Sciences|BI / Analyst|Business Executive|Product Manager|Technical Executive|Data Buyers|Data Sharing & Collaboration | Colorado Community Managed Care Network created a "Honeycomb Data Network" in the Snowflake Data Cloud that brings in data from electronic health records, claims databases, enrollment files, Health Information Exchange messages, and other sources. Once combined, the data is compared against an organization's known population to determine visibility across data sets. Data sets can be shared to external organizations, filtering to the appropriate shared population only. Data visibility is controlled using a system of nested roles and row-level access policies, allowing for well-governed collaboration on sensitive patient population data. | Sandra ArreolaColorado Community Managed CarData Engineering Dir |
https://events.snowflake.com/summit/sessions/agenda/session/1115984 | IN011: State Street Alpha: How AI and Blockchain Can Empower Your Data Strategy | 02/07/2025 11:00 AM | #REF! | (45 min) | Caesars Palace, Julius 7 | Industry Impact|Breakout Session|Non-Technical|Financial Services|BI / Analyst|Business Executive|Data Engineer|Data Scientist|DevOps|IT / DBA|Product Manager|Software Developer|Technical Executive|Application Development|BI / Analytics|Data Engineering & Pipelines|Data Lakes|Data Mesh|Modernize Pipelines|Powered by Snowflake|Data Sharing & Collaboration|DevOps|Governance & Compliance|AI/ML | New advancements in AI have created an opportunity to analyze your data at scale like never before. Smart contracts and other digital assets present new vehicles for encapsulating and exchanging data. Harnessing these capabilities will create a competitive edge that will define the leaders in Data for the next decade. In this session, Aman Thind, Executive Vice President, and Global Chief Architect at State Street will discuss how State Street Alpha Data Platform, Powered by Snowflake, harnesses AI and blockchain to unlock insights and provide the scale needed to support an innovative and holistic data strategy. This session will be recorded. | |
https://events.snowflake.com/summit/sessions/agenda/session/1115873 | AA205: Handling Location Data at Scale with Snowflake Geospatial | 02/07/2025 11:00 AM | #REF! | (45 min) | Caesars Palace, Julius 16 | Accelerating Analytics|Breakout Session|Intermediate|All Industries|BI / Analyst|Data Scientist|Technical Executive|Application Development|BI / Analytics|Customer 360 | As the world gets increasingly connected we are generating more and more location data. Analyzing data sets from a location perspective reveals patterns and relationships that may be missed in regular analysis. Traditionally the data warehouse systems and the GIS systems have remained separate. Snowflake brings the massive processing capability to the world of geospatial intelligence. Customers have been using Snowflake to analyze billions of Geospatial objects in a scalable manner. Snowflake seamlessly integrates with the leading tools in the GIS space thereby bridging the two worlds. In this session, we will discuss how customers across several industries are combining geospatial intelligence with other analytical techniques to analyze location data at scale. This session will be recorded. | Fawad QureshiSnowflakeIndustry Field CTO |
https://events.snowflake.com/summit/sessions/agenda/session/1151421 | MD117: Winning the Race to the Future: Fast-tracking Data Modernization and Value Realization | 02/07/2025 11:00 AM | #REF! | (45 min) | Caesars Palace, Pompeian 1 | Modern Data Architectures|Breakout Session|Introductory|All Industries|BI / Analyst|Business Executive|Data Engineer|Product Manager|Technical Executive|BI / Analytics|Cybersecurity|Data Engineering & Pipelines|Migrations|Modernize Pipelines|Monetization|Performance & Optimization|Data Sharing & Collaboration | As we navigate the rapidly evolving digital landscape, organizations are under mounting pressure to modernize their data strategies and quickly realize the value of their data. This panel discussion brings together experts from top companies across industries to share experiences, challenges, and opportunities associated with fast-tracking data modernization and value realization. This session will highlight the importance of data modernization for gaining a competitive edge and the benefits of faster modernization. The panel will share their insights into key strategies and best practices for accelerating data modernization and value realization. They will also share their experiences working with organizations across a range of industries to provide real-world examples of successful modernization efforts. | Daniel MacDonaldMarriott InternationalVice President, DataKishore BegurJohnson ControlsDirector, IT DeliverRakesh SanchetiLTIMindtreeVP & Global Head SnoRavi SankarHoneywell International, Inc.VP - IT analytics |
https://events.snowflake.com/summit/sessions/agenda/session/1116054 | ML103: Unleashing the Power of Large Language Models with Snowflake | 02/07/2025 11:00 AM | #REF! | (45 min) | Caesars Forum, Academy 411 | AI/ML|Breakout Session|Introductory|All Industries|Data Scientist|Product Manager|Software Developer|Technical Executive|Application Development|Generative AI & LLM|AI/ML | The discovery of large language models (LLMs) is enabling an array of dazzling new AI apps that can converse and reason remarkably like humans. This talk will explore how Snowflake can help you leverage LLMs for your own data, both now and in the future. You will learn how to build your own LLM-powered app using Snowflake and Streamlit, with live demonstrations of how to use generative AI and LLMs to power natural language data explanation, exploration, recommendation, discussion, and question answering. This talk will also discuss Snowflake's strategy, including its recent acquisitions of Streamlit and Applica, and present some new AI products being developed in-house. Finally, the speakers will explore this technology's implications for app development, data storage, processing, and analytics, and conclude with thoughts on how Snowflake can help you navigate this rapidly changing future. This session will be recorded. | Adrien TreuilleSnowflakeDirector of ProductRichard MengSnowflakeSenior Software Engi |
https://events.snowflake.com/summit/sessions/agenda/session/1116104 | WN204: What's New: Apache Iceberg with Snowflake | 02/07/2025 11:00 AM | #REF! | (20 min) | Caesars Forum, Data Heroes Theater | What's New|Theater Session|Intermediate|All Industries|Data Engineer|IT / DBA|Software Developer|Technical Executive|Application Development|BI / Analytics|Community|Data Engineering & Pipelines|Data Lakes|Data Mesh|IT Operations|Migrations|Modernize Pipelines|Performance & Optimization|Powered by Snowflake|Governance & Compliance|AI/ML | Join us to hear the latest enhancements with Apache Iceberg, powering flexibility and open standards in the Data Cloud. This session will be recorded. | James MaloneSnowflakeDirector, Product MaRon OrtloffSnowflakeSenior Product Manag |
https://events.snowflake.com/summit/sessions/agenda/session/1138752 | IN204: Increase Supply Chain Efficiency with Real-Time SAP Data | 02/07/2025 11:00 AM | #REF! | (20 min) | Caesars Forum, West Theater A | Industry Impact|Theater Session|Intermediate|Manufacturing|Retail / CPG|Technology|BI / Analyst|Business Executive|Data Engineer|Technical Executive|BI / Analytics|Cost Governance|Data Engineering & Pipelines|Modernize Pipelines|Supply Chain | Join us to learn How Qlik and Snowflake can help manufacturers make their global supply chains more flexible, capable, and sustainable. Business processes, such as order to cash, are critical to organizations, particularly for the retail and manufacturing enterprises. And SAP contains valuable data related to the process such as sales orders, distribution, and financial data. But it can be a challenge to access and integrate data in SAP systems with data from other sources to get a full view of the end-to-end process. Adding in organizational silos and data fragmentation makes it even more difficult to integrate SAP data with modern analytics projects. Join us to learn how Snowflake and Qlik are helping businesses fully leverage all their enterprise data to lower IT costs, streamline supply chains, and deliver real-time prescriptive insights that improve productivity. | Dan PotterQlikVice President, Prod |
https://events.snowflake.com/summit/sessions/agenda/session/1115907 | CO102: Data Commercialization: Your Guide To Taking Data To Market | 02/07/2025 11:00 AM | #REF! | (45 min) | Caesars Forum, Academy 416 | Collaboration|Breakout Session|Introductory|All Industries|Business Executive|Product Manager|Monetization|Snowflake Marketplace|Data Sharing & Collaboration | In uncertain times, companies seek external data to provide richer insights into their customers and operations. That growing demand for external data also provides an opportunity. Do I have data that others could use as well? Yet taking data to market-and deriving revenue from it-remains daunting. This session will draw from the experiences of companies who have successfully commercialized their data by offering data as an incremental service to existing customers or selling new data products. Participants will understand the opportunities and challenges of the data economy; discover how innovative business leaders have launched data products and services; and learn how to identify use cases, develop offers, determine pricing models and take data to market, including a short demo of how to list products on Snowflake Marketplace. This session will be recorded. | Jennifer BelissentSnowflakePrincipal Data Strat |
https://events.snowflake.com/summit/sessions/agenda/session/1138774 | CY206: Scale Up Your Threat Defense with the Data Cloud | 02/07/2025 11:00 AM | #REF! | (20 min) | Caesars Forum, East Theater D | Cybersecurity|Theater Session|Intermediate|All Industries|Business Executive|Cybersecurity | Threat inflation is accumulating on top of the current economy woes, making it almost impossible for organizations to be successful in their threat detection, investigation, and response efforts. This session will show how Securonix is leveraging the Snowflake Data Cloud to enable its vision of an Unified Defense SIEM: A technology evolution that supports organizations to scale up threat detection, investigations, and response (TDIR) and keep up with escalating threats while keeping costs and resource demands under control. | |
https://events.snowflake.com/summit/sessions/agenda/session/1138772 | AA111: Bringing Trust in Data to the Center of the Room with dbt and Druva | 02/07/2025 11:00 AM | #REF! | (25 min) | Caesars Forum, Industry Pavilion Theater South | Accelerating Analytics|Theater Session|Introductory|Technology|BI / Analyst|Data Engineer|IT / DBA|BI / Analytics|Data Engineering & Pipelines|Modernize Pipelines | Join this session to learn about the journey of leveraging dbt to scale up analytics infrastructure and insights velocity─as well as quality─at Druva. We'll walk you through how Snowflake and dbt have empowered an invaluable cohesive analytics team at Druva. | Dharmesh PatelDruvaVice President of An |
https://events.snowflake.com/summit/sessions/agenda/session/1116082 | OS202: How Ally Financial Used Snowflake's Cost Optimization Features to Reduce Consumption by 15% | 02/07/2025 11:00 AM | #REF! | (45 min) | Caesars Forum, Alliance 305 | Operating & Optimizing Snowflake|Breakout Session|Intermediate|Financial Services|Business Executive|Technical Executive|Cost Governance|Maximize Economic Value|Performance & Optimization | Snowflake is a data platform with a unique "performance on demand" value proposition. This requires every organization adopting Snowflake to include not only performance but also cost as an essential parameter to drive engineering excellence. In this session, Ally Financial, a leader in the digital financial services industry, will share how cost and performance optimization was foundational in the successful, large-scale rollout of Snowflake across the organization.Key aspects of Snowflake's cost optimization that the Ally team will share include:- Initial cost and performance challenges for Snowflake implementation- Baseline performance and cost- Measuring performance and cost- Optimizing and forecasting performance and cost - Enhanced visibility on cost- A roadmap to Snowflake tag-based cost optimization This session will be recorded. | Ashish PandeyAlly FinancialFellow Data EngineerJoe BurnsSnowflakeSales Engineer |
https://events.snowflake.com/summit/sessions/agenda/session/1138730 | AA107: How Discover Financial Plays Data Offense and Defense | 02/07/2025 11:00 AM | #REF! | (45 min) | Caesars Palace, Julius 23 | Accelerating Analytics|Breakout Session|Introductory|Financial Services|BI / Analyst|Data Engineer|IT / DBA|BI / Analytics|Data Mesh|Powered by Snowflake|Data Sharing & Collaboration|Governance & Compliance | Meet new compliance demands. Speed (and scale up!) analytics. Think these goals are at odds? Think again. Discover Financial Services (DFS) sought data catalog and cloud partners to manage enterprise risk. Today, more than 2,000 people at DFS use Alation and Snowflake to share knowledge, tackle cloud complexity, and put data into action fast. Join this session to learn how DFS uses Alation and Snowflake to play data offense and defense. The experts will reveal how they leverage the joint solution for decision-making and advanced analytics, as well as faster self-service via cloud data fabric. Hear firsthand how they automated pipeline creation using scanned physical metadata-and saved their team countless hours. And learn how Alation's seamless integration with Snowflake enabled DFS with data discovery, literacy, and impact analysis at scale to power a truly global, data-driven, digital financial services powerhouse. This session will be recorded. | Anthony LempeliusAlationSnowflake Alliance DPrakash JaganathanDiscover Financial ServicesSenior Director, Ent |
https://events.snowflake.com/summit/sessions/agenda/session/1115919 | CO300: How Fetch Brings Brands Closer to Consumers in a Privacy-Respectful Way with Data Clean Rooms | 02/07/2025 11:30 AM | #REF! | (45 min) | Caesars Palace, Neopolitan 1 | Collaboration|Breakout Session|Advanced|Media / Entertainment / Advertising|Retail / CPG|Technology|BI / Analyst|Business Executive|Product Manager|Security Practitioner|Technical Executive|Marketing Analytics|Data Sharing & Collaboration|Governance & Compliance | Fetch is used by over 18M U.S. consumers every month to engage with brands and be rewarded for their shopping. Users know and love Fetch for rewarding them for their everyday purchases and trust them to protect their privacy. Brands love Fetch because they get omnichannel visibility that provides verified incrementality to their campaigns all while building a relationship with their consumers. This works because of Snowflake's data collaboration technology that allows Fetch to easily and securely share data with brands. Snowflake's Global Data Clean Rooms enable them to build analytics without ever revealing private user data. Learn more about how brands are transforming their approach to consumer engagement in a privacy-focused way. This session will be recorded. | Andrew MaturoFetchDirector of DataJeff LauFetchSVP of GTM |
https://events.snowflake.com/summit/sessions/agenda/session/1138778 | ML219A: Hands-On Lab: Don't Let Your Customers Slip Away: A Guide to Churn Modeling Using Snowflake and Hex | 02/07/2025 11:30 AM | #REF! | (2 hours) | Caesars Forum, Alliance 310 | AI/ML|Hands-on-Lab|Intermediate|All Industries|Data Engineer|Data Scientist|Software Developer|Data Engineering & Pipelines|AI/ML | Together, Snowflake and Hex are the perfect tools for teams looking to optimize their data science and machine learning workloads. Hex's features and notebook-style UI streamline development, while Snowflake provides a single, secure data platform. We invite you to participate in our hands-on lab, where you'll learn: - How to build a churn model using a random forest classifier - Leverage UDTFs in Snowpark to perform feature engineering and training - Accelerate your development workflow with Hex magic (AI assistance) | Gabe FlomoHexDeveloper AdvocatePrash MedirattaaSnowflakeSenior Partner Engin |
https://events.snowflake.com/summit/sessions/agenda/session/1116081 | OS201: How Adobe Optimized Snowflake Costs While Automating Management and Reporting | 02/07/2025 11:30 AM | #REF! | (20 min) | Caesars Forum, Industry Pavilion Theater South | Operating & Optimizing Snowflake|Theater Session|Intermediate|Retail / CPG|Business Executive|Technical Executive|Cost Governance|Maximize Economic Value|Performance & Optimization | Learn how to optimize Snowflake costs with best practices on warehouse right sizing, warehouse auto suspend, percentile analysis of query latency, and warehouse load without customer impact. Adobe will also share how the team automated the management, performance analysis, and financial reporting of hundreds of Snowflake accounts. | Chandan KumarAdobe Systems IndiaSr. Computer ScientiManish SaraswatAdobeComputer Scientist |
https://events.snowflake.com/summit/sessions/agenda/session/1140433 | MD216: How Data Governance (Yes... Data Governance) Sparks Creativity at WPP | 02/07/2025 11:30 AM | #REF! | (20 min) | Caesars Forum, East Theater D | Modern Data Architectures|Theater Session|Intermediate|Technology|Business Executive|Data Scientist|Product Manager|Technical Executive|Customer 360|Performance & Optimization|Data Sharing & Collaboration|Governance & Compliance | How does a massive, global organization like WPP get its 100,000+ employees across 100+ member agencies to act as responsible users of data? It all comes down to trust, reliability, access, and autonomy. That's easier said than done with a small data governance team and an incredibly complex, siloed, and distributed data and analytics ecosystem. Join us to learn how the Creative Transformation Company turned its sprawling data landscape into the foundation for a successful knowledge-first organization. Then we'll look at how data.world's automated and agile data governance capabilities are empowering more productive data teams across WPP. | Jon Loyensdata.worldChief Product OfficeNancy Prabhakardata.worldProduct ManagerVipul ParmarWPPGlobal Head of Data |
https://events.snowflake.com/summit/sessions/agenda/session/1148217 | WN102B: What's New: Cross-Cloud Platform Innovations and Cost & Performance Optimizations (Repeat) | 02/07/2025 11:30 AM | #REF! | (45 min) | Caesars Palace, Augustus 1 | What's New|Breakout Session|Introductory|All Industries|BI / Analyst|IT / DBA|BI / Analytics|Cost Governance|Maximize Economic Value|Migrations|Performance & Optimization | Join us to hear the latest Snowflake platform innovations including new out-of-the-box performance improvements, advanced analytics capabilities, and enhanced business continuity. You'll also learn new ways to monitor, control, and optimize spend alongside our latest built-in workload optimization. (Repeat) This session will be recorded. | Artin AvanesSnowflakeProduct ManagementJosh KlahrSnowflakeDirector of Product |
https://events.snowflake.com/summit/sessions/agenda/session/1138762 | ML220: Zero to Snowpark-Building ML Models with Snowpark | 02/07/2025 11:30 AM | #REF! | (20 min) | Caesars Forum, East Theater C | AI/ML|Theater Session|Intermediate|All Industries|AI/ML | Our client, a large identity and access management (IAM) company with over 10,000 customers, sought a strategic partner to help design a more consolidated tool stack that would be simpler to manage than their existing data engineering and data science pipelines. The previous technology stack included a mix of storage containers, data platforms, and schedulers. The client aimed to complete a POC using Snowflake's Snowpark to assess the benefits of consolidating their tech stack for two primary use cases. The first use case involved a capacity planning model. This model predicts system log authentication events six months in advance. The engineering services team utilizes these predictions for capacity planning. By the end of the engagement, Slalom successfully rebuilt their capacity planning data science pipeline using Snowflake's data warehouse and Snowpark, allowing their users to access the predictions through a dashboard. The second use case was a data pipeline that processes event data from a storage container and publishes the data in Snowflake tables. Slalom rebuilt the event's data processing steps in Snowflake using Snowpark. Slalom provided the client with a roadmap detailing our recommended approach to build solutions for additional use cases. These included propensity to buy (PTB), customer churn, size of buy, discovery of new deal opportunities, and scoring opportunities models using Snowpark. Join the session and stop by our booth for a firsthand example of how Slalom and Snowpark can accelerate your business and jump-start your Snowpark journey. | Jambunath MahalingamSlalomPrincipal, Scale DelRob ToroSlalomManaging Director, S |
https://events.snowflake.com/summit/sessions/agenda/session/1116032 | MD104: Creating a Modern Data Fabric in the Public Sector with Snowflake | 02/07/2025 11:30 AM | #REF! | (45 min) | Caesars Palace, Julius 13 | Modern Data Architectures|Breakout Session|Introductory|Financial Services|Public Sector|Technical Executive|Data Mesh | The Texas Department of Transportation (TxDOT) is committed to providing its constituents with the right data at the right time. As an organization with multiple business functions, the data resides in localized data stores and is being accessed with localized solutions. It is a challenging task to extract data from these data silos and integrate with other business systems to provide relevant context to analysts and business intelligence teams. TxDOT has implemented a modern data fabric with Snowflake as the enterprise data management foundation that is near-infinitely scalable. Join this session to hear their story that highlights successes and challenges within the state government space. This session will be recorded. | Mark PrindleTexas Department of TransportaData ArchitectSuresh SundararajanTexas Department of TransportaData Management Offi |
https://events.snowflake.com/summit/sessions/agenda/session/1146805 | ML106: Hands-On Lab: Getting Started with Snowpark for Machine Learning on SageMaker | 02/07/2025 11:30 AM | #REF! | (2 hours) | Caesars Forum, Alliance 314 | AI/ML|Hands-on-Lab|Introductory|All Industries|Data Engineer|Data Scientist|Software Developer|Data Engineering & Pipelines|AI/ML | SageMaker and Snowpark both offer a robust set of features for preparing data, training models, and deploying models. This hands-on lab will provide an introduction to SageMaker and Snowpark and then discuss and demonstrate the common patterns for preparing training data, building models, and deploying those models using SageMaker and Snowpark. | Bosco AlbuquerqueAWSPartner Solutions ArMatt MarzilloSnowflakeSr. Partner Engineer |
https://events.snowflake.com/summit/sessions/agenda/session/1116069 | ML215: Breaking the Glass Ceiling for ML and AI in Real Estate: Domain Creates Data Clean Rooms | 02/07/2025 11:30 AM | #REF! | (20 min) | Caesars Forum, West Theater B | AI/ML|Theater Session|Intermediate|All Industries|Data Scientist|Application Development|Monetization|Data Sharing & Collaboration|Governance & Compliance|AI/ML | Domain is an iconic Australian brand that will continue to grow and evolve as real estate and financial data and insights become more valuable to banks, lenders, insurers, government, construction, real estate, investment firms, and the general public. Domain is creating insights that anyone can use easily, and Snowflake is the key partner making this possible. Domain used Snowflake to build one of the first Data Clean Rooms in Australia. Domain uses the Data Clean Room to perform machine learning, which has ignited a new range of functionality leveraged by Domain such as Python coding in Snowpark and use of Snowpark-optimized warehouses for high memory needs. Domain is expecting to transform this Data Clean Room into an application available through Snowflake Marketplace. | Pooyan AsgariDomain GroupChief Data OfficerRogerio RoldanDomain GroupData Director, Domai |
https://events.snowflake.com/summit/sessions/agenda/session/1115921 | CO302: Reliability and Trust: How Northern Trust Ensures Shared Data and Apps Are Reliable | 02/07/2025 11:30 AM | #REF! | (45 min) | Caesars Forum, Academy 418 | Collaboration|Breakout Session|Advanced|All Industries|DevOps|IT / DBA|Technical Executive|Application Development|IT Operations|Snowflake Marketplace|Data Sharing & Collaboration|Governance & Compliance | Snowflake's live sharing brings utility-like distribution, which enables at-source consumption of data and applications with ease. However, live shares constantly evolve; hence, without proper care, consumers and providers can encounter outages and missed SLAs. In this in-depth session, we delve into best practices to reliably deliver and consume shared data and apps and learn from Northern Trust how their robust data operations have reduced business impacts from share additions, schema drifts, data updates, and app upgrades. This session will be recorded. | Amit GuptaSnowflakeFCTO Collaboration -Pramod GuptaNorthern TrustDirector Software En |
https://events.snowflake.com/summit/sessions/agenda/session/1159790 | IN302: Smart Manufacturing Enterprise Journey on the Snowflake Data Cloud | 02/07/2025 11:30 AM | #REF! | (45 min) | Caesars Forum, Academy 410 | Industry Impact|Breakout Session|Advanced|Manufacturing|Business Executive|Product Manager|Powered by Snowflake | JCI is innovating and supporting rapid democratization of the entire data ecosystem already available on the Snowflake Cloud Data. There are numerous capabilities of data and AI that can be unlocked for JCI to transform as a smart manufacturing enterprise. In this session, we'll cover the convergence of various data structures across IT and OT data to realize a connected manufacturing experience in near real time, the enablement of key data capabilities like sharing/exchange, the onboarding of data products to increase agility and minimize costs leveraging Snowflake Marketplace effectively, and data- and AI-powered decision-making to realize KPIs for business with technology innovation. | David GinnJohnson ControlsVP IT Enterprise DatSrinivas Gopal SugavanamInfosysVP - Group Practice |
https://events.snowflake.com/summit/sessions/agenda/session/1115949 | DE200B: Hands-On Lab: Data Engineering Pipelines with Snowpark Python (Repeat) | 02/07/2025 11:30 AM | #REF! | (2 hours) | Caesars Forum, Alliance 309 | Data Engineering|Hands-on-Lab|Intermediate|All Industries|Data Engineer|Data Scientist|DevOps|Software Developer|Data Engineering & Pipelines|Modernize Pipelines|DevOps | Did you attend the Data Engineering Pipelines with Snowpark Python session? Or do you want to get step-by-step guided intruction on building data engineering pipelines with Python? In this hands-on lab, you'll walk through the end-to-end process of creating a robust data engineering pipeline using Snowpark Python stored procedures. That pipeline will process data incrementally, be orchestrated with Snowflake Tasks, and be deployed via a CI/CD pipeline. You'll also learn how to use Snowflake's new developer CLI tool and Visual Studio Code extension. (Repeat) | Christen MarshallSnowflakeSolutions Engineer, David RichertSnowflake ComputingCloud Platform Archi |
https://events.snowflake.com/summit/sessions/agenda/session/1138728 | DE213: Fivetran Automation, Reliability, and Scale: Accelerating Data Movement to the Data Cloud | 02/07/2025 11:30 AM | #REF! | (25 min) | Caesars Forum, Industry Pavilion Theater North | Data Engineering|Theater Session|Intermediate|Technology|BI / Analyst|Data Engineer|Data Engineering & Pipelines|Modernize Pipelines | Onboarding a new data pipeline doesn't have to be resource or time consuming. Learn how Fivetran-Snowflake Tech Partner of the Year for Data Integration in 2022, 2020, 2019, and 2018-accelerates data movement, addressing critical challenges such as: - Time to insight: quickly set up production data pipelines that deliver business outcomes - Architectural constraints: SaaS service, so infrastructure effort is removed - Lack of self-service: easy to use for all, not just data engineers or developers - Operational sustainability: Fivetran just works and has 99.9%+ uptime See live and in real time how an application data source and a relational database source are easily and quickly connected to Snowflake for a historical sync, ongoing incremental replication, and change data capture. | David HrncirFivetranSenior Partner Sales |
https://events.snowflake.com/summit/sessions/agenda/session/1159787 | IN209: NatureSweet's Business Value Realization: How to Adopt a Modern Data and Digital Stack | 02/07/2025 11:30 AM | #REF! | (45 min) | Caesars Palace, Julius 19 | Industry Impact|Breakout Session|Intermediate|Retail / CPG|Business Executive|Data Engineering & Pipelines | NatureSweet did not want to expend a lot of resources to evaluate, learn about, and purchase various tech components and then combine them with their existing tech stack. Instead, they wanted to go directly to value realization by increasing their supply predictability and sharpen their focus on decisions that contribute to their purpose: changing the lives of agricultural workers in North America. Calibo's first-of-its-kind, end-to-end platform capabilities enable NatureSweet to realize use cases extremely fast. Please join NatureSweet CIO, Noé Angel, and Alberto Langle, Head of IT Business Relationships, Scott Sandschafer, CEO of Calibo, as well as holder of over 10 US patents, Chief Product Officer, Shubho Mohanty, to hear how NatureSweet is building a modern data and digital stack to drive business value realization. | Alberto Langle BornacelliNaturesweetIT Business RelationNitin BajajCaliboHead of EngineeringNoe AngelNaturesweetChief Information OfScott SandschaferCaliboChief Executive Offi |
https://events.snowflake.com/summit/sessions/agenda/session/1138746 | DE113: Under the Hood: How FCP Euro Revved Its Data Stack with Snowflake and Coalesce | 02/07/2025 11:30 AM | #REF! | (45 min) | Caesars Forum, Alliance 304 | Data Engineering|Breakout Session|Introductory|Manufacturing|Retail / CPG|BI / Analyst|Data Engineer|Data Engineering & Pipelines|Modernize Pipelines|Performance & Optimization|Governance & Compliance | As an ecommerce retailer that serves passionate European car owners, FCP Euro recognizes the critical role that data plays in their ability to satisfy their customers. The key? Building a powerful data stack that would consolidate data silos and automate data transformation and governance for maximum performance. Hear from Brandon Harris, VP of Technology and Data at FCP Euro, and Satish Jayanthi, CTO and Co-founder at Coalesce, as they explain how FCP Euro leverages Snowflake and Coalesce to easily build automated, flexible data pipelines at scale. This session includes a product demo and live Q&A. This session will be recorded. | Brandon HarrisFCP EuroVP, Technology and DSatish JayanthiCoalesceCTO and Co-founder |
https://events.snowflake.com/summit/sessions/agenda/session/1115945 | DE103A: Reduce Ingestion Costs with Snowpipe Streaming and Dynamic Tables | 02/07/2025 11:30 AM | #REF! | (45 min) | Caesars Forum, Academy 415 | Data Engineering|Breakout Session|Introductory|All Industries|Business Executive|Data Engineer|DevOps|Technical Executive|BI / Analytics|Cost Governance|Data Engineering & Pipelines|Maximize Economic Value|Modernize Pipelines|Performance & Optimization|DevOps | Snowpipe Streaming reduces ingestion cost as it is on demand compared to running a streaming receiver like Spark that is running 24-7-365. These serverless features self-heal, which reduces the cost of maintenance as well. In this session, you'll see an ingestion and transformation pipeline build that saves cost on streaming data using new Snowpipe Streaming and Dynamic Table functionality. This session will be recorded. | Parag JainSnowflake Inc.Principal Architect,Xin HuangSnowflakeProduct Manager |
https://events.snowflake.com/summit/sessions/agenda/session/1116105 | WN205A: What's New: Application Development | 02/07/2025 11:30 AM | #REF! | (45 min) | Caesars Palace, Augustus 3 | What's New|Breakout Session|Intermediate|All Industries|Business Executive|DevOps|Product Manager|Software Developer|Technical Executive|Application Development|Monetization|Performance & Optimization|Powered by Snowflake|Snowflake Marketplace|DevOps | We've entered a new era of application development. Instead of bringing data to applications, developers are bringing their applications to the data. Join this session to learn about the latest enhancements to help you build, operate, scale, and distribute your applications in the Data Cloud. You'll hear best practices from builders who are leveraging different deployment models on Snowflake and learn from Snowflake product leaders about how you can build high-performance and differentiated applications with Snowflake's latest features. This session will be recorded. | Chris ChildSnowflakeSenior Director, Pro |
https://events.snowflake.com/summit/sessions/agenda/session/1150359 | ML223: Behind the Magic: How Hex is built on Snowflake | 02/07/2025 11:30 AM | #REF! | (20 min) | Caesars Forum, Data Heroes Theater | AI/ML|Theater Session|Intermediate|All Industries|Data Scientist|Software Developer|Application Development|Data Engineering & Pipelines|AI/ML | Join Hex co-founder and CTO Caitlin Colgrove for a technical dive into how Hex has built on top of Snowflake to solve some of the most persistent problems with modern data analytics workflows.This session will be recorded. | Caitlin ColgroveHexCTO |
https://events.snowflake.com/summit/sessions/agenda/session/1151428 | IN034: Turbocharging enterprise value with Generative AI | 02/07/2025 11:30 AM | #REF! | (45 min) | Caesars Palace, Julius 5 | Industry Impact|Breakout Session|Non-Technical|All Industries|Business Executive|Technical Executive|Performance & Optimization|Generative AI & LLM | Imagine a world where AI creates new content for you on-the-fly, designs your sneakers, writes hit songs, or paints award-winning masterpieces. That world is closer than ever, thanks to the latest stage of AI. Lan Guan, Accenture Global Data and AI Lead, offers insights on how companies can turbocharge enterprise value with Generative AI. | Lan GuanAccentureSenior Managing Dire |
https://events.snowflake.com/summit/sessions/agenda/session/1151416 | OS215: Transforming Data Management: How T-Mobile leverages Metadata with Ataccama One on Snowflake | 02/07/2025 11:30 AM | #REF! | (20 min) | Caesars Forum, West Theater A | Operating & Optimizing Snowflake|Theater Session|Intermediate|Telecom|Data Engineer|Product Manager|Technical Executive | In today's data-driven business landscape, organizations are required to make certain their data stays accurate, secure, and reliable to make better business decisions. This is especially true for T-Mobile, North America's preeminent telecom provider for reliability, coverage, and speed, whose business is extremely complex and ever evolving. Join Jason Wright, Sr Manager, Data Management Functions, and explore the journey of how Ataccama has enabled T-Mobile's full data management solution, highlighting data stewardship, protection of private data and golden records, and confidence in data through rigorous quality control and remediation. | Jason WrightT-MobileSr Manager, Data Gov |
https://events.snowflake.com/summit/sessions/agenda/session/1115991 | IN018: Media Data Cloud Overview: Building an Open and Interoperable Ecosystem | 02/07/2025 11:30 AM | #REF! | (45 min) | Caesars Palace, Augustus 5 | Industry Impact|Breakout Session|Non-Technical|Media / Entertainment / Advertising|Technology|BI / Analyst|Business Executive|Data Engineer|Data Scientist|Product Manager|Technical Executive|BI / Analytics|Cost Governance|Customer 360|Data Engineering & Pipelines|Data Mesh|Marketing Analytics|Maximize Economic Value|Modernize Pipelines|Monetization|Performance & Optimization|Snowflake Marketplace|Data Sharing & Collaboration|Governance & Compliance|AI/ML | The Media Data Cloud launched in October 2021, with Snowflake's dedicated use cases and solutions for the new era of privacy-first, consumer-centric advertising. Nearly two years after launch, the media, entertainment, and advertising ecosystem is thriving on Snowflake. Hear from industry leadership on how the power of the Media Data Cloud has transformed their business, helping them build a more effective, efficient, and privacy-centered future. This session will be recorded. | Bill StrattonSnowflakeGlobal Industry LeadJim WarnerSnowflakeField CTO, AdvertisiPriya RahelaWBDProduct Development Ramzi NasrVideoAmpVice President |
https://events.snowflake.com/summit/sessions/agenda/session/1115664 | AA102A: Self-Service Analytics on Streamlit | 02/07/2025 12:00 PM | #REF! | (20 min) | Caesars Forum, East Theater D | Accelerating Analytics|Theater Session|Introductory|All Industries|BI / Analyst|Business Executive|Data Engineer|Data Scientist|Technical Executive|Application Development|BI / Analytics|AI/ML | Join this session to learn more about Self-Service Analytics, an application built using StreamLit that enables its users to create self-service visualizations. Instead of spending time writing Python and SQL code to develop a dashboard or analytical report, this application automatically provides users with a simple selection-based GUI, helping create reports and interactive dashboards. Join this session to learn how you can use Self-Service Analytics on Streamlit to create visually arresting charts, filters and aggregations-all out of the box. Learn about the benefits of saving and retrieving work any time you need it, helping replace licensed visualization and reporting tools, and saving costs org-wide. | Piyush SauravSnowflakeSenior Data Analyst |
https://events.snowflake.com/summit/sessions/agenda/session/1146798 | CO109: How US Foods, Workato, and CrunchTime 'Data Confidently' for Seamless Scalability | 02/07/2025 12:00 PM | #REF! | (45 min) | Caesars Forum, Academy 416 | Collaboration|Breakout Session|Introductory|Retail / CPG|Technology|BI / Analyst|Business Executive|Data Engineer|Product Manager|BI / Analytics|Maximize Economic Value|Data Sharing & Collaboration | This session showcases how innovative retail and technology companies embrace data as a core strategy to scale their businesses on Snowflake. US Foods is a major food-service distributor with almost 300,000 restaurant and food-service operator partners across the United States. Workato is an enterprise integration and automation platform for business and IT users serving over 11,000 of the world's top brands, and CrunchTime is an operations management software platform for the restaurant and food-services industries used in over 100,000 locations in more than 100 countries. With Sigma on Snowflake, these companies are able to use data to create value across their businesses and work together more efficiently, to make decisions not only faster but also smarter. The session will dive into how data and business teams collaborate on data models, how embedding Snowflake data on Sigma creates value for customers, and how to rewrite the rules of business and agility using Input Tables. This session is ideal for those who want to build an understanding of how enterprises are using Snowflake to innovate and drive business value and evolve their data maturity. This session will be recorded. | Alex LundyCrunchTimeSenior Product ManagLance LochnerUS FoodsDirector of Data TraSherrylyn FiloteoSigma ComputingVice PresidentTyler LawsonWorkatoDirector of Data & A |
https://events.snowflake.com/summit/sessions/agenda/session/1138733 | AA110: The Future of Analytics: Instant Insights, Greater Flexibility, and Faster Time to Value | 02/07/2025 12:00 PM | #REF! | (25 min) | Caesars Forum, Industry Pavilion Theater South | Accelerating Analytics|Theater Session|Introductory|All Industries|BI / Analyst|Business Executive|Data Engineer|Data Scientist|DevOps|IT / DBA|Application Development|BI / Analytics|Data Engineering & Pipelines|Monetization|Performance & Optimization|Powered by Snowflake|Snowflake Marketplace|Data Sharing & Collaboration|Governance & Compliance|AI/ML | As data and data sources explode, how is your organization optimizing its data investments? Sigma Computing's Advanced Analytics capabilities can help you fully utilize the Data Cloud. This includes leveraging input tables and scenario modeling, collaborating on Snowpark models, and using chat AI models to enhance your data. You'll learn how multi-tenant, flexible, and agile data solutions enable instant collaboration across teams and geographies, propelling your organization forward. With the power to enrich and enhance data within the Data Cloud (input tables), you'll be able to align with internal stakeholders and make better decisions faster than ever before. Don't miss this opportunity to learn about the latest advancements in data-driven decision-making and gain valuable insights into how your organization can stay ahead of the curve. You'll walk away knowing: - Why the future of analytics is cloud-native, multi-tenant, and flexible, enabling organizations to leverage data more effectively to drive business results - How instant collaboration across teams and geographies is key to unlocking the full potential of enterprise data, allowing for faster decision-making and alignment with internal stakeholders - What powerful capabilities the Data Cloud offers for enriching and enhancing data, providing organizations with a competitive advantage in today's data-driven landscape | Shawn NamdarSigma ComputingTechnical Alliance MStipo JosipovicSigma ComputingDirector of Product |
https://events.snowflake.com/summit/sessions/agenda/session/1115965 | DE302: How the New York Stock Exchange Uses Snowpark to Reduce Costs | 02/07/2025 12:00 PM | #REF! | (45 min) | Caesars Forum, Academy 411 | Data Engineering|Breakout Session|Advanced|All Industries|Financial Services|Data Engineer|Data Engineering & Pipelines|Maximize Economic Value|Migrations|Modernize Pipelines|Governance & Compliance | The New York Stock Exchange (NYSE) loads every transaction across all their markets into Snowflake. This includes every bid, ask, and sale of stock, bonds, and options. In order to comply with regulatory reporting, NYSE runs surveillance reports every day after the market closes. These reports generate market statistics, market quality information, and program trading reports that are all issued regularly for each of NYSE's markets. The information provided in each report is designed to increase transparency between the exchange and their customers, and to comply with SEC regulations for providing selected data on selected order executions. In this session, you'll learn how NYSE successfully migrated these surveillance reports to Snowpark with significant cost savings. This session will be recorded. | Anand PradhanNYSESenior Director, RegDivakar JeyadevanIntercontinental ExchangeDirector |
https://events.snowflake.com/summit/sessions/agenda/session/1138729 | MA108: Unlocking Proprietary Intelligence with First-Party Customer Data | 02/07/2025 12:00 PM | #REF! | (20 min) | Caesars Forum, West Theater B | Marketing Analytics|Theater Session|Introductory|Media / Entertainment / Advertising|Retail / CPG|Business Executive|Data Engineer|Data Scientist|Technical Executive|Marketing Analytics|Maximize Economic Value|Modernize Pipelines|Performance & Optimization|Powered by Snowflake|Data Sharing & Collaboration|Governance & Compliance | Understanding the true business impact of your campaigns can help you tap into new opportunities, channels, and customers. Today, with intense competition, shorter deadlines, and limited budgets, understanding what works and what doesn't must happen in minutes, not months. While Google Analytics has been a popular tool for data tracking, it has limitations that prevent businesses from realizing the full value of their data. Together, Snowplow and Snowflake provide a best-in-class solution to model and analyze conversion journeys in near real time. This capability enables organizations gain to generate, enrich, and model first-party customer data in a way that provides greater customer data insights and control, directly in the Data Cloud. | Mike RobinsSnowplowHead of Engineering |
https://events.snowflake.com/summit/sessions/agenda/session/1138734 | AA113: Get Insights 10x Faster from Your Data Cloud with AI-Powered Analytics | 02/07/2025 12:00 PM | #REF! | (45 min) | Caesars Palace, Julius 16 | Accelerating Analytics|Breakout Session|Introductory|All Industries|Generative AI & LLM | Every day, billions of people search for information on the internet. The emergence of GPT-4 and other large language models (LLM) promises to reimagine the entire experience of how people access information. ThoughtSpot Sage combines the power of GPT's natural language processing and generative-AI capabilities with the accuracy and security of ThoughtSpot's patented self-service analytics platform. Join this session to learn how data teams can exponentially increase their impact across an organization as business users self-serve personalized, actionable, and trustworthy insights like never before. This session will be recorded. | Jay KotechaHuelData & BI LeadSean ZinsmeisterThoughtSpotSVP Product Marketin |
https://events.snowflake.com/summit/sessions/agenda/session/1115954 | DE204: How NerdWallet Created Self-Serve Metrics Using Snowpark Python | 02/07/2025 12:00 PM | #REF! | (20 min) | Caesars Forum, Industry Pavilion Theater North | Data Engineering|Theater Session|Intermediate|All Industries|Data Engineer|DevOps|Data Engineering & Pipelines|Modernize Pipelines | The NerdWallet Data Engineering team empowers analytics and business intelligence teams to drive impact through self-service workflows. As they grew, teams were recreating metric logic in other pipelines causing data fragmentation, inconsistencies that led to untrustworthy data, and performance bottlenecks. So the team set out to create a more robust self-serve workflow for analysts and BI engineers to define, publish, and preprocess their domain-specific data sets directly in Snowflake through Airflow orchestration. In this session, you'll learn how they used Snowpark Python in conjunction with Snowflake Stored Procedures to create a self-serve framework for building centralized metrics for downstream consumption by the business. You'll also hear how they were able to automate the deployment and scheduling in Airflow through CI/CD using the Snowflake Labs schemachange tool. | Adam BayramiNerdWalletStaff Date EngineerJeff PortwoodNerdWalletStaff Data Engineer |
https://events.snowflake.com/summit/sessions/agenda/session/1116024 | MA207: Snowflake on Snowflake: Predicting Sales Pipeline with Snowflake and Snowpark | 02/07/2025 12:00 PM | #REF! | (45 min) | Caesars Palace, Julius 23 | Marketing Analytics|Breakout Session|Intermediate|All Industries|Data Engineer|Data Scientist|Application Development|BI / Analytics|Customer 360|Marketing Analytics|AI/ML | Reliable sales pipeline forecasts enable B2B marketers to take a data-driven approach to go-to-market planning. However, conventional methods using univariate time series or spreadsheet models are not able to capture complex dynamics unique to each deal and region.With the Data Cloud, Snowflake is able to unlock siloed data and use machine learning powered by Snowpark to provide our Sales, Marketing, and Finance teams with accurate and actionable near real-time insights. Join us for this session to hear:- How Snowflake delivers a reliable pipeline forecast to our sales, marketing, and finance leaders- How Snowflake uses Snowpark to train and deploy end-to-end machine learning models entirely on the Data Cloud- How the Data Cloud enables data scientists and engineers to bring together data from both inside and outside Snowflake This session will be recorded. | Branden CiranniSnowflakeBusiness IntelligencMatt Los KampSnowflakeManager, Marketing D |
https://events.snowflake.com/summit/sessions/agenda/session/1131195 | ML101: GPTZero: Idea to Iteration Powered by Streamlit and Snowflake | 02/07/2025 12:00 PM | #REF! | (45 min) | Caesars Forum, Alliance 305 | AI/ML|Breakout Session|Introductory|All Industries|Business Executive|Data Scientist|Software Developer|Application Development|Generative AI & LLM|AI/ML | This session will focus on the extremely popular Streamlit app GPTZero, which was created by Princeton student Edward Tian and hosted on Streamlit's free Community Cloud platform. The app detects whether a given passage of text was generated by ChatGPT or a human author, and it has achieved extreme virality-two demos were seen by 7 million people in just four days, and the app was covered by numerous media outlets, including NPR, Insider, Entrepreneur, The Daily Beast, Yahoo Finance, CBC, and more. Edward Tian will present this talk in conjunction with Caroline Frasca from Streamlit's Developer Experience team, who will share insights on the process of supporting viral apps and crafting a developer experience that enables innovation and iteration. Edward will elaborate on the process of building GPTZero, the subsequent media attention, and his plans for the future of GPTZero. This session will be recorded. | Caroline FrascaSnowflakeSenior Developer ExpEdward TianGPTZero, StudentFounder |
https://events.snowflake.com/summit/sessions/agenda/session/1159792 | IN211: Zetaris: Transform and Move Your Data to Snowflake at Lightning Speed | 02/07/2025 12:00 PM | #REF! | (20 min) | Caesars Forum, West Theater A | Industry Impact|Theater Session|Intermediate|All Industries|Financial Services|Healthcare & Life Sciences|Public Sector|Retail / CPG|Technology|Telecom|BI / Analyst|Business Executive|Data Engineer|Data Scientist|DevOps|IT / DBA|Product Manager | Zetaris Founder and CEO Vinay Samuel, Tie50 and CXO Disruptor Award winner, shares how Zetaris unified data preparation studio helps accelerate Snowflake customers' path to value by enabling faster adoption and consumption of Snowflake. Vinay describes how Zetaris can provide faster and more efficient data processing compared to traditional methods of loading data onto Snowflake, enabling businesses to gain insights quickly and make faster decisions based on their data. This is achieved through the unified data preparation studio's solution suite via: Lights on Migration, the Unified Semantic Layer, Rapid Use Case Prototyping, and Data Science Data Pipelining. The Industry Solutions Kit that overlays the unified data preparation studio enables a tailored approach to the unique needs of various industries, providing businesses with a library of data models to drive a targeted approach to data preparation and analysis. These solutions are designed to help businesses prepare and analyze data more efficiently, as well as accelerate and enhance the benefits of Snowflake's platform. | Vinay SamuelZetarisCEO & Founder |
https://events.snowflake.com/summit/sessions/agenda/session/1151437 | ML226: Rethinking Recommendation Systems in the age of LLMs with the Creator of Feast | 02/07/2025 12:00 PM | #REF! | (20 min) | Caesars Forum, Data Heroes Theater | AI/ML|Theater Session|Intermediate|All Industries|Data Scientist|Application Development|Data Engineering & Pipelines|Generative AI & LLM|AI/ML | In this session, discover how to create real-time recommendation systems utilizing Feast for feature serving, Snowflake for data storage, and a large language model (LLM) for inference. This approach eliminates the need for offline feature engineering and improves visibility and explainability into predictions. We’ll have a live demonstration of the system and a detailed discussion on the comparison between LLM and conventional recommender systems.This session will be recorded. | Willem PienaarStealthFounder |
https://events.snowflake.com/summit/sessions/agenda/session/1115973 | IN000: How AstraZeneca Drives Pharmaceutical Industries' Digital Transformation with Snowflake | 02/07/2025 12:00 PM | #REF! | (45 min) | Caesars Palace, Pompeian 1 | Industry Impact|Breakout Session|Non-Technical|Healthcare & Life Sciences|Public Sector|BI / Analyst|Business Executive|Data Engineer|Data Scientist|DevOps|IT / DBA|Product Manager|Software Developer|Technical Executive|Application Development|BI / Analytics|Cost Governance|Cybersecurity|Data Engineering & Pipelines|Data Lakes|Data Mesh|IT Operations|Maximize Economic Value|Migrations|Modernize Pipelines|Performance & Optimization|Powered by Snowflake|Snowgrid|Data Sharing & Collaboration|DevOps|Governance & Compliance|AI/ML | By leveraging Snowflake and developing a data mesh, AstraZeneca's Operations Unit can expect to realize a business value of $200 million by 2025, as part of their digital transformation efforts. In this session, we will highlight real-world examples of how Snowflake has been utilized to optimize operations, reduce costs, and improve decision-making across the industry. With a focus on the practical applications of Snowflake and data mesh development for AstraZeneca's Operations Unit, attendees will leave with a comprehensive understanding of how to apply these technologies to their own operations. This session will be recorded. | Rui WangAstraZenecaData, Analytics & AISujith Kumar MentaAstraZenecaPlatform, Service & |
https://events.snowflake.com/summit/sessions/agenda/session/1138751 | IN032: What It Means to Be a Data-Driven Organization: A Fireside Chat w/ Under Armour & Capital One | 02/07/2025 12:00 PM | #REF! | (45 min) | Caesars Palace, Julius 7 | Industry Impact|Breakout Session|Non-Technical|All Industries|BI / Analyst|Business Executive|Data Engineer|Data Scientist|DevOps|IT / DBA|Product Manager|Security Practitioner|Software Developer|Technical Executive|BI / Analytics|Data Engineering & Pipelines|Maximize Economic Value|Migrations|Modernize Pipelines|Performance & Optimization|Powered by Snowflake|Governance & Compliance | What do a sportswear company and bank have in common? They both recognize that data is critical for continued business innovation. While their journeys may differ, Under Armour and Capital One have both pioneered the adoption of modern data capabilities in the cloud, enabling employees to create true business value from their data assets. During this fireside chat, Under Armour and Capital One will share more about their data journeys, how they approach being a data-driven organization, and how they have unlocked the power of Snowflake. This session will be recorded. | Patrick DuroseauUnder ArmourVP, Enterprise Data Salim SyedCapital One SoftwareVP and Head of Sling |
https://events.snowflake.com/summit/sessions/agenda/session/1146808 | MD223: Apache Iceberg 101 | 02/07/2025 12:00 PM | #REF! | (45 min) | Caesars Forum, Academy 405 | Modern Data Architectures|Breakout Session|Intermediate|All Industries|Data Engineer|IT / DBA|Data Engineering & Pipelines|Data Lakes | Join this session to learn about Apache Iceberg: the high-performance open table format for analytic datasets. Understand its basics, origins, transformative capabilities, and operational mechanisms. Bring the reliability and simplicity of SQL tables to big data, while making it possible for various engines to safely work with the same tables, at the same time.This session will be recorded. | Ron OrtloffSnowflakeSenior Product ManagRyan BlueTabularCo-founder and CEO |
https://events.snowflake.com/summit/sessions/agenda/session/1140444 | MD110: How to simplify your database migration to the Data Cloud | 02/07/2025 12:00 PM | #REF! | (20 min) | Caesars Forum, East Theater C | Modern Data Architectures|Theater Session|Introductory|All Industries|Data Engineer|Modernize Pipelines | Migrating on-premises/self-managed databases to the cloud is a scary task. While the benefits of a cloud migration are evident, especially in the current economic climate, the migration process can be rather complex. In this quick session, we will walk you through how modern data pipelines combining CDC, multi-table migration and data solution templates encapsulated in a native cloud platform, will help you accelerate the migration process. This how-to session will help anyone who wants to reap the benefits of the Data Cloud but still has some data left behind. | Ujjwal (JJ) TamhankarRiveryLead Solutions Archi |
https://events.snowflake.com/summit/sessions/agenda/session/1116038 | MD204: Salesforce's Journey Migrating to Snowflake | 02/07/2025 12:30 PM | #REF! | (45 min) | Caesars Forum, Academy 404 | Modern Data Architectures|Breakout Session|Intermediate|All Industries|IT / DBA|Technical Executive|BI / Analytics|Migrations | As Salesforce moves from an on-premises data warehouse to Snowflake, they face the challenge of supporting exponential growth in data and users. In this session, hear about the people, processes, and technological steps taken to build a scalable data platform that enables faster time to market. This session will be recorded. | Murali KallemSalesforceHead of Data PlatforVikas SangwanSalesforceSr. Director of Data |
https://events.snowflake.com/summit/sessions/agenda/session/1116017 | MA200: How Pershing X Is Transforming the Advisor Experience with the Data Cloud | 02/07/2025 12:30 PM | #REF! | (20 min) | Caesars Forum, Industry Pavilion Theater South | Marketing Analytics|Theater Session|Intermediate|Financial Services|BI / Analyst|Data Engineer|Data Scientist|Technical Executive|BI / Analytics|Data Engineering & Pipelines|Marketing Analytics|Data Sharing & Collaboration|AI/ML | This session will take a deep dive into how Pershing X has leveraged Snowflake to build a next generation wealth management platform that drives interoperability across workflows and creates a network of normalized financial data and analytics. This empowers wealth managers with access to data, analytics, and insights that unlock business-critical outcomes like customer 360, next-best action, and financial planning. | Dan AdlerBNY MellonCTO Pershing-X |
https://events.snowflake.com/summit/sessions/agenda/session/1138743 | MA210: Transforming Identity Resolution with Snowpark in the Data Cloud | 02/07/2025 12:30 PM | #REF! | (45 min) | Caesars Forum, Academy 410 | Marketing Analytics|Breakout Session|Intermediate|Media / Entertainment / Advertising|Business Executive|Technical Executive|Application Development|Modernize Pipelines|Powered by Snowflake|Governance & Compliance | Identity resolution is a critical component for enabling organizations to link disparate data sources and build a comprehensive view of their customers, commonly known as Customer 360. As organizations look to do more with data and better understand their customers, there has been tremendous demand to perform identity resolution quickly, efficiently, securely, and at scale. Security is always a foremost concern when processing personally identifiable information (PII) for identity resolution. In this presentation, we will discuss how we transformed an identity resolution algorithm using Snowpark. We will explore the benefits of using Snowpark, including its ability to simplify architecture, provide a path towards running as a Snowflake Native App, and enable data processing through sharing and clean rooms. We will also discuss how we transformed Merkle's application distribution strategy with Snowflake, enabling the secure processing of PII. By migrating the Spark application to run on Snowpark, we were able to simplify the architecture and take advantage of the Data Cloud to provide a strong security perimeter around customer data. By deploying the application on Snowpark within Clean Rooms, Merkle can now process customer data without having direct access to the data itself. This makes it easier for Merkle to satisfy security and governance requirements and accelerate its sales cycle. This session will be recorded. | Dominick RoccophDataChief Architect, AI,Morten LilengMerkle Inc.SVP of Identity ProdNick PileggiphDataSenior Solutions Arc |
https://events.snowflake.com/summit/sessions/agenda/session/1134853 | DE216: Using Automated Data Lineage at Exabyte Scale with Select Star | 02/07/2025 12:30 PM | #REF! | (20 min) | Caesars Forum, East Theater D | Data Engineering|Theater Session|Intermediate|Financial Services|Data Engineer|BI / Analytics|Performance & Optimization|Data Sharing & Collaboration | To promote merchant success and reduce risk, Block (formerly Square) ingests and analyzes large amounts of variable format data across multiple cloud platforms. With over a petabyte of highly sensitive financial data, Snowflake's object tagging, dynamic data masking, and row access policies provided the needed native security to meet requirements. Combining this with column-level lineage for better data discovery and developer enablement with Select Star, the team gained improved visibility into data usage. This solution provides value for the full spectrum of business use cases and user profiles, from analysts to developers. In this session, you will hear about how our team uses automated tagging and documentation to create more repeatable processes across our data ecosystem. | Matthew WhiteBlockBusiness IntelligencSam OsbornBlock (formerly Square)Software Engineer |
https://events.snowflake.com/summit/sessions/agenda/session/1116110 | WN210: What's New: Streaming with Snowflake Demo | 02/07/2025 12:30 PM | #REF! | (20 min) | Caesars Forum, Data Heroes Theater | What's New|Theater Session|Intermediate|All Industries|Data Engineer|DevOps|Software Developer|Application Development|Data Engineering & Pipelines|Modernize Pipelines|Performance & Optimization|AI/ML | Join us to learn about the latest Snowflake enhancements that remove the boundaries between streaming and batch, enabling data pipelines to be created more easily than ever before. This session will be recorded. | Xin HuangSnowflakeProduct Manager |
https://events.snowflake.com/summit/sessions/agenda/session/1155354 | AA005: Enable Your Entire Organization to Untap Your Data's Power with Snowflake + Alteryx Analytics Cloud | 02/07/2025 12:30 PM | #REF! | (25 min) | Caesars Forum, Industry Pavilion Theater North | Accelerating Analytics|Theater Session|Non-Technical|All Industries|BI / Analyst|BI / Analytics|IT Operations|Marketing Analytics|Performance & Optimization|AI/ML | Data is full of untapped potential, but employees need to be empowered to take advantage of the zettabytes of underutilized data. Your analysts, data engineers, and business leaders need the tools to do their jobs-from prepping and blending data, to building machine learning models,and using AI-driven dashboards to unearth hidden insights. Snowflake and Alteryx together unlock the access you need to tap into your teams' full potential. No matter what your background or skillset is, Alteryx enables everyone to take on the role of creative problem-solver who can turn data into value within your organization. Join this session to learn how Snowflake gives you scalable, secure access to data and how Alteryx enables you to uncover insights and make critical decisions faster using easy-to-use low-code/no-code visual analytics tools. Deep dive into the Alteryx Analytics Cloud platform including Designer Cloud, Machine Learning, AI driven Auto Insights and Location Intelligence tools. Then, dive into real-world use cases from industries like telecom and retail to learn how combining Snowflake's real-time cloud data with Alteryx's analytics and ML capabilities enables demand forecasting and faster decision making. Built on the enterprise-ready Alteryx Analytics Cloud platform, see how easy-to-use tools built for any business user across your organization make it easier and more secure to get your hands on Snowflake data, and transform it in Snowflake with no data movement so that you can start tapping into your potential today. | Alex GnibusAlteryxTechnology SolutionsMark ZabezhinskyAlteryxSr. Product Marketin |
https://events.snowflake.com/summit/sessions/agenda/session/1115665 | AA103: John Lewis Partnerships Journey with the Data Cloud: Fireside Chat with Deloitte | 02/07/2025 12:30 PM | #REF! | (45 min) | Caesars Forum, Academy 418 | Accelerating Analytics|Breakout Session|Introductory|All Industries|Retail / CPG|BI / Analyst|Business Executive|Data Scientist|IT / DBA|Application Development|BI / Analytics|Migrations|Modernize Pipelines|Data Sharing & Collaboration|AI/ML | The John Lewis Partnership (JLP), an iconic British retailer, engaged Deloitte to modernize and migrate business-critical data to the John Lewis Partnership Data Platform (PDP). Snowflake is at the center of the data transformation, providing teams with the capability to store, transform, and augment first- and third-party data and rapidly scale the analytics capability of the partnership. Join this session to learn how, in collaboration with technology partners including Informatica, dbt, Collibra and Tableau, JLP and Deloitte have designed a platform that is flexible to a wide variety of use cases: analytics, reporting, data science, and applications. This session will be recorded. | Colin WilliamsDeloitteEnterprise Data PlatHenrietta Sorel-CameronJohn Lewis PartnershipHead of Data Product |
https://events.snowflake.com/summit/sessions/agenda/session/1140441 | MD107: How Snowflake-Based Architecture Drives Cultural Impact and Value | 02/07/2025 12:30 PM | #REF! | (20 min) | Caesars Forum, East Theater C | Modern Data Architectures|Theater Session|Introductory|All Industries|Business Executive|Data Engineer|IT / DBA|Product Manager|Technical Executive|BI / Analytics|Customer 360|Data Engineering & Pipelines|Modernize Pipelines|Performance & Optimization|Supply Chain|Data Sharing & Collaboration | Learn how Classic Collision, an automotive repair and maintenance center, utilized the power and flexibility of cloud-based data architecture on top of Snowflake to re-energize its business leaders to solve complex problems in a scalable way. Initially, Classic Collision's unique industry space, paired with a traditional data architecture, presented several challenges: constrained scalability, limited collaboration between business functions, duplication of data, and inefficient manual processes to help bridge gaps created by the technical limitations of the technology. The difficulty of implementing value-added solutions predictably stifled creativity in leadership. To help address these challenges, SDG Group leveraged Snowflake to implement modern ELT pipelines with a wide variety of data ingestion possibilities. The team also migrated previously manual solutions to scalable cloud-based solutions to enable collaboration and strong data governance. With these new solutions in place, challenges that were previously thought to be impossible to solve are now being tackled with ease. Classic Collision is now equipped with the ability to distribute the right data, to the right people, at the right time. This ultimately empowers business leaders and IT teams alike to make better decisions, materialize their ideas in a scalable way, employ creativity to solve complex challenges, and heighten their competitive advantage. | Jason FishbeinSDG GroupExecutive ManagerRyan AlleyClassic CollisionCIO |
https://events.snowflake.com/summit/sessions/agenda/session/1116090 | OS301: How Disney Parks Optimized Performance on Snowflake for Major Cost Savings | 02/07/2025 12:30 PM | #REF! | (45 min) | Caesars Palace, Neopolitan 1 | Operating & Optimizing Snowflake|Breakout Session|Advanced|Media / Entertainment / Advertising|Business Executive|IT / DBA|Technical Executive|Cost Governance|Maximize Economic Value|Performance & Optimization | Learn why large data sets require some special attention for performance. In this session, you'll walk away with best practices on how to save costs and improve customer experience through performance tuning and optimizing storage and compute. This session will be recorded. | Renganathan SrinivasanSnowflake IncSenior Solutions Arc |
https://events.snowflake.com/summit/sessions/agenda/session/1115929 | CY103: Introducing the Application Security Data Lake | 02/07/2025 12:30 PM | #REF! | (45 min) | Caesars Palace, Julius 5 | Cybersecurity|Breakout Session|Introductory|All Industries|Financial Services|Healthcare & Life Sciences|Manufacturing|Media / Entertainment / Advertising|Public Sector|Technology|Telecom|BI / Analytics|Cybersecurity|Data Engineering & Pipelines|Data Lakes|Data Mesh|DevOps | Today's security data lake centers largely on threat detection, incident response, and vulnerability management. What data should application security teams be collecting that they typically don't, and what could they do if they did? How could they marry it with existing data? This talk will address these questions with concrete suggestions, ideas, and open questions. This session will be recorded. | Jacob SalassiSnowflakeDirector, Product Se |
https://events.snowflake.com/summit/sessions/agenda/session/1116030 | MD102: ServiceNow's Migration from SAP HANA to Snowflake | 02/07/2025 12:30 PM | #REF! | (45 min) | Caesars Forum, Academy 415 | Modern Data Architectures|Breakout Session|Introductory|All Industries|Healthcare & Life Sciences|Data Engineer|IT / DBA|Technical Executive|Migrations | Join us to learn how ServiceNow, Forbes #1 in Most Innovative Companies 2022, is keeping up with data transformation at scale. ServiceNow has undergone a massive tech transformation to enable futuristic analytics capabilities to over 9,000 users every day. That's more than 50% of ServiceNow powered by data-driven decision-making!ServiceNow selected Snowflake as their data platform to power all analytics and underwent a complex data transformation from SAP HANA to Snowflake. They will talk through the initial goals of the data platform transformation, how those goals continue to evolve, and the journey that led to going all in on Snowflake and live in less than one year. They will share lessons learned, best practices, and what's next. This session will be recorded. | Ankit AgrawalServiceNow Inc.Director, Data and ASiva PrasadServiceNow Inc.Sr. Director, Enterp |
https://events.snowflake.com/summit/sessions/agenda/session/1116064 | ML210: Migrating to Snowpark: From MS Excel Sheets to Data-Driven DevOps | 02/07/2025 12:30 PM | #REF! | (20 min) | Caesars Forum, West Theater B | AI/ML|Theater Session|Intermediate|Financial Services|Data Scientist|Performance & Optimization|AI/ML | Norges Bank Investment Management (NBIM) manages the revenue from the oil discovered in the North Sea and is one of the largest sovereign wealth funds in the world. In mid-2022 NBIM started to migrate legacy R, C#, and downstream Python Pandas DataFrame code to Snowpark to utilize the PySpark-like API for data manipulation. This migration has improved performance for several processes. Monte Carlo simulations of around a million simulations that previously took closer to an hour on large serverless clusters were executed on Snowpark for Python in well under a minute using a medium warehouse. The presentation will focus on NBIM's experience with rapidly exploring data and unlocking new end user requirements through fast data analysis and strong data ownership using Snowpark for Python. | Kristian HagaNBIMSystem managerMathias BrusetNorges Bank Investment ManagemData Engineer |
https://events.snowflake.com/summit/sessions/agenda/session/1151426 | CY208: Automating Cybersecurity effectiveness testing and remediation using Snowflake | 02/07/2025 12:30 PM | #REF! | (45 min) | Caesars Palace, Julius 13 | Cybersecurity|Breakout Session|Intermediate|Healthcare & Life Sciences|Security Practitioner|Technical Executive|Cybersecurity|IT Operations|Performance & Optimization|Governance & Compliance | How many of our cyber assets are running ineffective agents, and what remediation actions should we take as a result? is one of the many questions that keep Cybersecurity leaders up at night. They might rely on ad-hoc, manual processes not only to determine their cybersecurity posture but also to remediate any uncovered issues. We proposed an architecture powered by Snowflake, Python, and Matillion, leveraging the scale and speed of the data cloud to implement automated end-to-end Cybersecurity effectiveness testing and remediation. What used to take weeks or months can now be done in days, giving Cybersecurity leaders an accurate, timely, and actionable analysis of their cybersecurity posture. | David CarterDelta DentalSenior Manager, CybeJean-Gabriel PrinceKPMG LLPData Science Directo |
https://events.snowflake.com/summit/sessions/agenda/session/1140454 | MD220: Transforming the Digital Enterprise: Breaking Data Silos w/ Snowflake for Data-Driven Success | 02/07/2025 12:30 PM | #REF! | (20 min) | Caesars Forum, West Theater A | Modern Data Architectures|Theater Session|Introductory|Financial Services|BI / Analyst|Business Executive|Data Engineer|Data Scientist|Product Manager|Security Practitioner|Technical Executive|BI / Analytics|Cost Governance|Customer 360|Data Lakes|Maximize Economic Value|Migrations|Performance & Optimization|Data Sharing & Collaboration|Governance & Compliance | Please join us to learn how Cognizant helping large enterprises to shift data gravity to cloud, eliminate data silos and rapidly deliver insights supporting modern decisioning.We will discuss our differentiated factory model approach powered by our accelerator eco system to build a sustainable modern data platform in the Snowflake data cloud. This session also brings perspective from a leading Insurance and Financial Services leader based on how their modernization journey with real life use cases. | Oleg AspisTIAAManaging Director, ORajesh SreepadaCognizant Technology SolutionsNA Data and Analytic |
https://events.snowflake.com/summit/sessions/agenda/session/1115885 | AD000: Moving from Precomputed to Dynamic Benchmarks for Human Capital Management Analytics | 02/07/2025 12:30 PM | #REF! | (45 min) | Caesars Palace, Julius 19 | Application Development|Breakout Session|Non-Technical|All Industries|BI / Analyst|Business Executive|Product Manager|Software Developer|Technical Executive|Application Development|BI / Analytics | ADP is a leading global technology company that simplifies complexity by providing human capital management (HCM) solutions to more than one million clients in 140 countries. They have a unique position that enables them to combine data from their client base and offer industry benchmarks for HCM analytics. Their client-facing products provide self-service analytics. Their prior Spark-based architecture required heavy pre-aggregation and storage requirements. To address this issue, ADP selected Snowflake for its elastic compute, workload isolation, and ease of administration. The key efforts in this project were optimized for sub-second queries and enhancements that made approximation functions more deterministic. With the new system, users can create custom benchmarks with faster calculations and runtime aggregations of ADP's benchmarks. This results in a reduction of weeks from the current process workflow, improved time to insight, and a flexible end-user experience. This session will be recorded. | Brent WeissADPSr Director, ProductJusto PastorADPSr. Director, Applic |
https://events.snowflake.com/summit/sessions/agenda/session/1115894 | AD202: Building Apps with Snowflake's SQL API | 02/07/2025 12:30 PM | #REF! | (45 min) | Caesars Forum, Alliance 304 | Application Development|Breakout Session|Intermediate|All Industries|Data Engineer|Data Scientist|Software Developer|Application Development|Data Engineering & Pipelines | Data and APIs lay the foundation for creating modern applications. The SQL API is a REST API that can be used to build applications, automate administrative tasks, integrate custom plug-ins, and more. In this session, we cover how to use SQL API to build an IoT application from the ground up. We'll also explore our SQL API playground and how you can use it to experiment in your own Snowflake environment. This session will be recorded. | Daniel MyersSnowflakeSenior Manager, PrinJoyce LinPostmanHead of Developer Re |
https://events.snowflake.com/summit/sessions/agenda/session/1115992 | IN019: Government & Education Data Cloud Overview: What's Next in the World of Government & Education | 02/07/2025 01:00 PM | #REF! | (45 min) | Caesars Palace, Augustus 5 | Industry Impact|Breakout Session|Non-Technical|Public Sector|BI / Analyst|Business Executive|Data Engineer|Data Scientist|DevOps|IT / DBA|Product Manager|Security Practitioner|Software Developer|Technical Executive|Application Development|BI / Analytics|Cost Governance|Cybersecurity|Data Mesh|Migrations|Modernize Pipelines|Performance & Optimization|Powered by Snowflake|Snowflake Marketplace|Data Sharing & Collaboration|Governance & Compliance|AI/ML | Technology waves follow predictable adoption patterns, but today, the pace in the public sector is escalating. Snowflake is committed to supporting public sector organizations in unlocking citizen-critical data to drive meaningful change and collaboration. The critical nature of this data will traverse public and private organizations. Governments, the private sector, and educational organizations can amplify their ability to protect, teach, and serve our communities. Join us and discover how Snowflake's Data Cloud will impact the everyday lives of people, businesses, and markets around the world. This session will be recorded. | Jeff FrazierSnowflakeVP, Head of Global PWinston ChangSnowflakeCTO, Global Public S |
https://events.snowflake.com/summit/sessions/agenda/session/1138749 | IN104: Snowflake Native Experimentation: Driving Business Impact with Eppo | 02/07/2025 01:00 PM | #REF! | (20 min) | Caesars Forum, East Theater D | Industry Impact|Theater Session|Introductory|Technology|Data Scientist|Powered by Snowflake | In today's competitive landscape, experimentation is a kingmaker. But legacy experimentation tools have not kept up with the technological advancements of the Snowflake Data Cloud-customers are asked to export raw data and create a shadow data warehouse. Often, the best option is to compute experiment results manually with DIY tools. In this session, we'll share how Eppo solved this problem by creating a Snowflake-native experimentation platform that computes entirely within the Data Cloud. The Data Cloud-native approach minimizes risk, generates trust, and empowers any company to experiment with the sophistication of Airbnb, Netflix, and Microsoft. The previous generation of experimentation tools couldn't tie business metrics to product work, but platforms like Eppo generate ROI by activating core business metrics in every product decision. | Che SharmaEppoFounder & CEO |
https://events.snowflake.com/summit/sessions/agenda/session/1167430 | How Cisco Uses Active Metadata to Power DataOps: A Conversation with Atlan | 02/07/2025 01:00 PM | #REF! | (25 min) | Caesars Forum, Industry Pavilion Theater South | Modern Data Architectures|Theater Session|Intermediate|Manufacturing|Data Engineer|IT / DBA|Technical Executive|Data Engineering & Pipelines|Data Mesh | Among the world's largest and most respected technology companies, Cisco sits atop oceans of data about their customers, products, and operations. Making sense of this data and ensuring that their business colleagues can make the most of it, empowered by modern data platforms like Snowflake and Atlan, is the Cisco data team. Join Matt McCabe, Director of Customer Experience Digital Transformation at Cisco, and Mark Pavletich, Director of Sales Engineering to learn more about the role active metadata plays in operating Cisco's data estate. Discover how to enable your team to create the modern organizational structures and practices that deliver data consumers what they need, when they need it. | Mark PavletichAtlanDirector of Sales EnMatt McCabeCisco SystemsDirector, Software E |
https://events.snowflake.com/summit/sessions/agenda/session/1167432 | IN108: Unlocking Industry Solutions with Wipro and Snowflake: Streamline Ops, Improve CX and Protect Revenue | 02/07/2025 01:00 PM | #REF! | (20 min) | Caesars Forum, West Theater A | Industry Impact|Theater Session|Introductory | Join this session to hear about the game-changing benefits of combining Wipro domain expertise with Snowflake technology for industry solutions through real-life use cases. This powerful combination provides an integrated data and analytics platform with AI-based solutions for all manufacturing functions, resulting in streamlined operations, disruption-free manufacturing, efficient supply chain management, and improved customer experience. Additionally, telecommunications carriers can leverage this technology to use data to drive retention and protect revenue, while also utilizing AI to assess and protect assets. Don't miss out on this opportunity to learn how your business can benefit from this cutting-edge technology! | Basab BhattacharyaWipro LimitedSector Lead, Data anNarayan KamatWipro LimitedGlobal Head - Strate |
https://events.snowflake.com/summit/sessions/agenda/session/1159786 | IN208: Enrich Your Portfolio Analytics with a Click in CoreLogic's Snowflake Native App | 02/07/2025 01:00 PM | #REF! | (20 min) | Caesars Forum, East Theater C | Industry Impact|Theater Session|Intermediate|Financial Services|BI / Analyst|Business Executive|Data Engineer|Data Scientist|Technical Executive|Application Development|BI / Analytics|Data Engineering & Pipelines|Data Lakes|Data Mesh|Modernize Pipelines|Data Sharing & Collaboration|Generative AI & LLM|AI/ML | Financial services is a portfolio-centric world. Retail banks, commercial banks, insurers, asset managers, hedge funds, property managers, SFR investors, and more all rely on alternative investment assets to strengthen long-term portfolio growth. Providing deep insight into the property can unlock new ideas and business opportunities. CoreLogic's Discovery Platform, now a Snowflake Native App, can help financial services institutions grow revenue, fast-track innovations, and mitigate risk with category-defying data. CLIPing your portfolio can instantaneously tag every real estate element to enable immediate insights at the click of your mouse, leveraging the industry-leading CLIP ID from CoreLogic. Learn how CoreLogic replatformed discovery into the Snowflake Native App Framework and Snowpark. We'll also walk you through a joint POC with a core secondary mortgage market player around enabling climate risk data to better predict the risks of mortgage-backed securities in disaster-prone regions up to the year 2050. | Anand PandyaHakkodaGlobal Head of FinanJohn RogersCoreLogicChief Innovation Off |
https://events.snowflake.com/summit/sessions/agenda/session/1116052 | ML105: Demo: Unleashing the Power of Large Language Models with Snowflake | 02/07/2025 01:00 PM | #REF! | (20 min) | Caesars Forum, Data Heroes Theater | AI/ML|Theater Session|Introductory|All Industries|Data Scientist|Product Manager|Software Developer|Technical Executive|Application Development|Generative AI & LLM|AI/ML | The discovery of large language models (LLMs) is enabling an array of dazzling new AI apps that can converse and reason remarkably like humans. This talk will explore how Snowflake can help you leverage LLMs for your own data, both now and in the future. You will learn how to build your own LLM-powered app using Snowflake and Streamlit, with a live demonstration of how to use generative AI and LLMs to power natural language data explanation, exploration, recommendation, discussion, and question answering. This talk will also discuss Snowflake's strategy, including its recent acquisitions of Streamlit and Applica, and present some new AI products being developed in-house. Finally, the speakers will explore this technology's implications for app development, data storage, processing, and analytics, and conclude with thoughts on how Snowflake can help you navigate this rapidly changing future. This session will be recorded. | Adrien TreuilleSnowflakeDirector of ProductRichard MengSnowflakeSenior Software Engi |
https://events.snowflake.com/summit/sessions/agenda/session/1116098 | WN104A: What's New: Snowflake Marketplace and Collaboration | 02/07/2025 01:00 PM | #REF! | (45 min) | Caesars Palace, Augustus 1 | What's New|Breakout Session|Introductory|All Industries|BI / Analyst|Business Executive|Data Scientist|Product Manager|Security Practitioner|Technical Executive|Monetization|Powered by Snowflake|Snowflake Marketplace|Snowgrid|Data Sharing & Collaboration|Governance & Compliance|Generative AI & LLM | Join us to learn how Snowflake Marketplace allows everyone in your organization to find, try, and buy data and apps more easily, and how Snowflake enables collaboration across your global business ecosystem at scale. This session will be recorded. | Eric DorfSnowflakeProduct ManagerSami IqramSnowflakeSenior Product ManagTed HamiltonSnowflakeSenior Manager, Prod |
https://events.snowflake.com/summit/sessions/agenda/session/1138755 | OS210: Optimizing Snowflake Spend by Prioritizing User Experience | 02/07/2025 01:00 PM | #REF! | (20 min) | Caesars Forum, West Theater B | Operating & Optimizing Snowflake|Theater Session|Intermediate|Media / Entertainment / Advertising|Technical Executive|Cost Governance|Maximize Economic Value|Performance & Optimization | An optimized Snowflake environment allows organizations to repurpose their spending and tackle more workloads on the platform. With clients ranging from Media & Entertainment to B2B tech to healthcare, DAS42 has seen Snowflake being implemented across companies of all sizes and shapes. Hear how considering cost from a user-experience perspective changed our thinking and approach. We'll share common pitfalls we've seen during our time in the trenches that have driven up costs and show you some tricks to audit, monitor, and manage data warehousing spend with a user-first lens. | Laura McKinleyDAS42Principal ConsultantTeresa KovichDAS42Principal Consultant |
https://events.snowflake.com/summit/sessions/agenda/session/1116049 | ML100: Under the Hood: Delivering a Personalized MLB Fan Experience at Wrigley Field Using Snowpark | 02/07/2025 01:00 PM | #REF! | (20 min) | Caesars Forum, Industry Pavilion Theater North | AI/ML|Theater Session|Introductory|Media / Entertainment / Advertising|Data Engineer|Data Scientist|Data Engineering & Pipelines|AI/ML | The Chicago Cubs created a real-time personalized MLB experience for their fans at their second annual Premier Batting Practice Event. Using Snowpark and other Snowflake native features, the Cubs engaged audiences both on and off the field by bridging multiple technical solutions into one cohesive event. Join this session for a behind-the-scenes look at Slalom and the Cubs' game plan for bringing together technology, data, and baseball to create the ultimate fan experience. Experience design, analytics, and modern technology combined with good, old-fashioned baseball fun-that's a home run. | Chris BrummettChicago CubsDirector, Software DJason DruckerSlalomSr. Director, Data & |
https://events.snowflake.com/summit/sessions/agenda/session/1148224 | WN103B: What's New: Snowflake Native App Framework (Repeat) | 02/07/2025 01:00 PM | #REF! | (45 min) | Caesars Palace, Augustus 3 | What's New|Breakout Session|Introductory|All Industries|Product Manager|Software Developer|Application Development|Monetization|Powered by Snowflake|Snowflake Marketplace | With the Snowflake Native App Framework you can bring your application to your customer's data, natively in the Data Cloud! Join us to learn from Snowflake product experts and leaders from DTCC and MyDataOutlet about how you can use the Snowflake Native A[[ Framework to build Snowflake Native Apps, distribute and monetize them via Snowflake Marketplace, and deploy them directly in your customers' Snowflake accounts. (Repeat) This session will be recorded. | Arjun PuriThe Depository Trust & ClearinDirector of Cloud DaCharles FannMy Data OutletChief Technology OffClaire LoughDTCCExecutive Director -Unmesh JagtapSnowflakePrincipal Product Ma |
https://events.snowflake.com/summit/sessions/agenda/session/1146804 | IN301: Infosys Industry Intelligence Cloud: A Journey Across Leading Industry Segments | 02/07/2025 01:30 PM | #REF! | (25 min) | Caesars Forum, Industry Pavilion Theater North | Industry Impact|Theater Session|Advanced|All Industries|Product Manager|Cost Governance|Maximize Economic Value|Monetization|Powered by Snowflake | Having invested in autonomous data and AI architectures, many organizations are now looking to translate their investments in the cloud to power business use cases and new revenue opportunities. At Infosys, we have been partnering with industry leaders to capitalize on this new paradigm shift. In this session, learn how Infosys Industry Intelligence Cloud has helped organizations across three key industries accelerate their journey across three horizons-all powered by Autonomous Enterprise Assets built in partnership with Snowflake. | Balaji RamanujamInfosysAVP - Senior PrincipRajiv PuriInfosysVP, Industry Solutio |
https://events.snowflake.com/summit/sessions/agenda/session/1159796 | Pivoting and Purpose: A Conversation with Apolo Ohno | 02/07/2025 01:30 PM | #REF! | (1 hour) | Caesars Palace, Octavius Ballroom | Keynote|Non-Technical|All Industries | Apolo Anton Ohno claimed his first major speed skating title in the U.S. Championships at the age of 14—after just six months of training. Over the next decade and a half, he transformed from a young prodigy to the most decorated U.S. Winter Olympian in history—a title he still holds—earning eight Olympic medals in short-track speed skating across the 2002, 2006, and 2010 Winter Games. Reinvention is at the core of Apolo Anton Ohno. Apolo harnessed these experiences to foster a sustained leadership mindset needed to overcome obstacles. Apolo will speak at Snowflake Summit to share how he pushes the limits of what is possible, sets ambitious goals and works with a talented team to support his lofty ambitions.This session will be recorded. | Lisa ScuzzoSnowflakeSenior Director, HRB |
https://events.snowflake.com/summit/sessions/agenda/session/1115970 | DE307A: Dynamic Tables Under the Hood | 02/07/2025 01:30 PM | #REF! | (45 min) | Caesars Forum, Academy 411 | Data Engineering|Breakout Session|Advanced|All Industries|Data Engineer|DevOps|Data Engineering & Pipelines|Modernize Pipelines | Dynamic Tables are Snowflake's fresh perspective on how to build declarative data pipelines. All users have to do is give us a query and data freshness target. Dynamic Tables will do the rest to incrementally transform your data. During this session, we'll demystify Dynamic Tables by peeking under the hood and covering how Dynamic Tables seamlessly integrate with the rest of Snowflake. This session will be recorded. | Dan SotolongoSnowflakeSoftware EngineerSasha LionheartSnowflakeSoftware Engineer |
https://events.snowflake.com/summit/sessions/agenda/session/1116085 | OS205: How Snowflake Helped Komodo Health Achieve 15% Cost Savings | 02/07/2025 01:30 PM | #REF! | (45 min) | Caesars Forum, Alliance 305 | Operating & Optimizing Snowflake|Breakout Session|Intermediate|Healthcare & Life Sciences|Business Executive|IT / DBA|Technical Executive|Cost Governance|Maximize Economic Value|Performance & Optimization | Komodo Health uses Snowflake to host powerful healthcare applications, a vast number of database objects, and hundreds of warehouses. However, developers at Komodo initially did not fully understand the prioritization of business needs and the Snowflake platform, leading to the unnecessary provisioning of wrong warehouse sizes and the accumulation of tens of petabytes of unarchived data. In this session, they will discuss how Snowflake has helped Komodo reduce costs by up to 15% through the implementation of best practices such as proper warehouse provisioning, built-in optimization, centralized monitoring, and data archiving. These efforts, along with the fine-tuning of SQL queries and the elimination of unnecessary processes, have allowed Komodo to optimize their platform despite aggressive growth. This session will be recorded. | Dineshkumar MunusamyKomodo HealthStaff, Database platGana ChandrasekaranSnowflakeSr, Sales Engineer |
https://events.snowflake.com/summit/sessions/agenda/session/1115880 | AA212: Under Armour's Journey on Accelerating Analytics | 02/07/2025 01:30 PM | #REF! | (45 min) | Caesars Palace, Pompeian 1 | Accelerating Analytics|Breakout Session|Intermediate|All Industries|Retail / CPG|BI / Analyst|IT / DBA|Technical Executive|BI / Analytics|Customer 360|Data Lakes|Maximize Economic Value | Want to know how Under Armour has transformed and implemented autonomous and scalable analytics for low-latency enterprise scenarios? Join this session to learn how they've hacked these near-to-real-time use cases by improving performance and enabling functional stakeholders with insights and outcomes to run their business. This session will be recorded. | Abhi PunjeUnder ArmourDirector, Data AnalyJeff LeineweberUnder ArmourDirector, Data Platf |
https://events.snowflake.com/summit/sessions/agenda/session/1140427 | MD221: Build an Intelligent Data Mesh with Snowflake and Ascend | 02/07/2025 01:30 PM | #REF! | (20 min) | Caesars Forum, West Theater A | Modern Data Architectures|Theater Session|Intermediate|All Industries|Data Engineer|Technical Executive|Data Engineering & Pipelines|Data Mesh|Data Sharing & Collaboration | See how you can automate the work out of building and maintaining your data mesh at scale with intelligent data pipelines for Snowflake. Ascend's patented fingerprinting technology takes the guesswork out of detecting how changes propagate through a network of pipelines, allowing you to create a real-world data mesh without breaking a sweat. We'll show you how to ingest, process and share your first data product from a single control plane with a few clicks. Then we'll get into more complex implementations and look at how Ascend's data pipeline automation platform helps you stay on top of live data without spending hours on impact analysis before every change. We'll even show you how to do compute-free roll-backs to restore any previous state of your pipeline network with a single click. Come check it out! | Jon OsbornAscend.ioField CTO |
https://events.snowflake.com/summit/sessions/agenda/session/1116020 | MA203: How OpenTable Reduced MarTech Spend by 50% with the Data Cloud | 02/07/2025 01:30 PM | #REF! | (20 min) | Caesars Forum, Industry Pavilion Theater South | Marketing Analytics|Theater Session|Intermediate|All Industries|Retail / CPG|BI / Analyst|Business Executive|Data Engineer|Data Scientist|DevOps|IT / DBA|Product Manager|Security Practitioner|Software Developer|Technical Executive|Customer 360|Marketing Analytics|Powered by Snowflake|Governance & Compliance | Buying marketing technology today is more difficult than ever before. New MarTech tools are creating more fragmentation. Established MarTech tools are expanding their functionality into other categories. How do you create a modern MarTech stack that meets all of your needs without overspending on tools that have overlapping functionality? By building a customer 360 on Snowflake, OpenTable was able to consolidate their MarTech stack to essential elements-instead of pushing data to external marketing tools, it brought marketing tools to its Data Cloud. In this session, you'll learn how OpenTable reduced their contractual MarTech spend by 50%, what factors went into their customer 360, and how these decisions empowered their team to iterate faster on strategy and streamline campaign execution. | Joseph LeeOpenTableDirectory, MarketingLuke AmbrosettiSnowflakePartner Solutions Ar |
https://events.snowflake.com/summit/sessions/agenda/session/1138757 | CO209: How Virgin Red Reimagined Customer Engagement by Embracing Braze and Snowflake | 02/07/2025 01:30 PM | #REF! | (20 min) | Caesars Forum, East Theater C | Collaboration|Theater Session|Intermediate|All Industries|BI / Analyst|Business Executive|Data Engineer|Data Scientist|DevOps|IT / DBA|Product Manager|Marketing Analytics|Snowflake Marketplace|Data Sharing & Collaboration | For Virgin Red-Virgin's group-wide rewards club-finding ways to pull together data from a wide variety of sources is key to the success of their core business. So when they needed to find ways to break down data silos between teams and organizations and level up their customer engagement efforts, they turned to Braze and Snowflake. Using Braze Cloud Data Ingestion, Virgin Red was able to more effectively leverage their data, services, and applications within Snowflake to power best-in-class messaging campaigns and customer journeys, leading to deeper customer relationships and stronger business outcomes. In this session, we'll explore how Virgin Red planned and executed a strategy designed to open up more of their data to power impactful messaging campaigns, as well as the key role that the the bidirectional integration between Braze and Snowflake played in helping them achieve true data independence and setting themselves up for future success. | Oksana KovalenkoVirgin RedHead of Data ProductSpencer BurkeBrazeSVP, Growth |
https://events.snowflake.com/summit/sessions/agenda/session/1140455 | AA114: 5 Top Use Cases on How Your Business Can Use Data Apps on Snowflake | 02/07/2025 01:30 PM | #REF! | (20 min) | Caesars Forum, West Theater B | Accelerating Analytics|Theater Session|Introductory|All Industries | Learn how Astrato is a game-changer with no-code/low-code data apps on Snowflake. As an evolution of traditional BI, impactful data apps can easily be built with planning and data entry capabilities, Snowpark integration, and real-time insights into your business operations. With Astrato on Snowflake's scalable architecture, you can easily handle large volumes of data and create interactive dashboards that can be customized based on specific user needs for business consumption. From this session, you will gain valuable insights on how data apps work, how they can be used within the business, and how to fully leverage Snowflake's power to enable your business for faster and better decision intelligence to drive growth. | Martin MahlerAstratoCEO |
https://events.snowflake.com/summit/sessions/agenda/session/1116076 | OS102: Optimizing Performance and Costs with Snowflake: A Data Superhero Panel | 02/07/2025 01:30 PM | #REF! | (20 min) | Caesars Forum, Data Heroes Theater | Operating & Optimizing Snowflake|Theater Session|Introductory|All Industries|Business Executive|IT / DBA|Technical Executive|Cost Governance|Maximize Economic Value|Performance & Optimization | Join this panel session to hear from our Data Superheroes on how Snowflake gives you all the necessary levers to run a highly optimized and efficient Data Cloud. This panel will dive deep into cost and performance optimization techniques and share best practices and frameworks to tackle real-world scenarios. Learn how to take advantage of Snowflake's performance optimization features (like clustering, materialized views, query acceleration, and search optimization) to speed up queries while simultaneously lowering costs. We'll share Snowflake's financial governance framework for managing Snowflake costs using tags, resource monitors, and third-party tools. This session will be recorded. | Ian WhitestoneSELECTCo-founderMarcel SchwarzeAccentureAssociate Manager DaSonny RiveraThoughtspotSr. Analytics EvangeTomas SobotikTietoevryLead Data Architect |
https://events.snowflake.com/summit/sessions/agenda/session/1115934 | CY202: Curative Enhances Infosecurity Through Data and Cyber Team Collaboration | 02/07/2025 01:30 PM | #REF! | (20 min) | Caesars Forum, East Theater D | Cybersecurity|Theater Session|Intermediate|All Industries|Healthcare & Life Sciences|Technology|BI / Analyst|Business Executive|Data Engineer|Data Scientist|IT / DBA|Product Manager|Security Practitioner|Software Developer|Technical Executive|Application Development|BI / Analytics|Cybersecurity|Data Engineering & Pipelines|Data Lakes|Data Mesh|Performance & Optimization|Powered by Snowflake|Data Sharing & Collaboration|Governance & Compliance|AI/ML | Information security teams are collecting vast amounts of data that are curated and processed using purpose-built software. Monitoring metrics within these applications works well for many workflows, but there is a need for greater flexibility in defining and altering metrics to enhance security in the enterprise. Bringing security data into Snowflake unlocks the flexibility of the modern data stack to provide better monitoring and threat detection. By unifying the workflow of the infosec team and data team, greater collaboration and data exploration can occur. This provides an opportunity for data and infosec professionals to work together to improve enterprise security. Join us to see how Curative has used Snowflake to unify infosec and data team workflows to generate actionable cybersecurity insights by leveraging an interdisciplinary approach. | Michael PanicoCurativeVice President InforMitch RoznikCurativeDirector of Data |
https://events.snowflake.com/summit/sessions/agenda/session/1116058 | ML203: Streamlining Feature Engineering at Fidelity Using Snowflake's ML Capabilities | 02/07/2025 01:30 PM | #REF! | (45 min) | Caesars Palace, Julius 7 | AI/ML|Breakout Session|Intermediate|Financial Services|Data Engineer|Data Scientist|Data Engineering & Pipelines|Modernize Pipelines|AI/ML | At Fidelity, the core data architectural principle in their AI/machine learning data strategy is to minimize the transfer and duplication of data throughout the ML model development process. Leveraging Snowpark for Python for standard early data science activities and feature engineering operations, Fidelity takes advantage of native Snowflake data transformation functions. These functions efficiently process large volumes of data where computation is scaled horizontally and distributed across multiple nodes within the Snowflake platform. This session will be recorded. | Linda DevenneyFidelity InvestmentsVice President Data Ray ZhangFidelity InvestmentsChapter Area Leader, |
https://events.snowflake.com/summit/sessions/agenda/session/1116011 | MA102: How Indeed Achieved 8x Faster Marketing Velocity with Snowflake and GrowthLoop | 02/07/2025 01:30 PM | #REF! | (45 min) | Caesars Palace, Julius 23 | Marketing Analytics|Breakout Session|Introductory|All Industries|Business Executive|Data Scientist|Technical Executive|Customer 360|Data Engineering & Pipelines|Marketing Analytics|Powered by Snowflake|Governance & Compliance|AI/ML | Indeed is the #1 jobs site in the world averaging 250 million monthly visitors and 10 new job posts added each second. With that type of scale and speed, Indeed's marketing team needed timely and accurate data to provide valuable messaging to drive employer revenue. Indeed was able to leverage Snowflake and GrowthLoop together to increase marketing programs 8x at massive scale while incorporating machine learning models. In this session, attendees will learn how to create a scalable foundation in Snowflake to support marketing and data needs, decouple audience segmentation from external tools and launch campaigns based on machine learning and data science models.This session will be recorded. | David JoostenGrowthLoopCEOSuresh SusarlaIndeedDirector Software En |
https://events.snowflake.com/summit/sessions/agenda/session/1115939 | CY301: Security on Snowflake at Okta | 02/07/2025 01:30 PM | #REF! | (45 min) | Caesars Forum, Academy 405 | Cybersecurity|Breakout Session|Advanced|All Industries|Technology|Data Engineer|Data Scientist|Product Manager|Security Practitioner|Software Developer|Application Development|BI / Analytics|Cost Governance|Cybersecurity|Data Engineering & Pipelines|Data Lakes|Data Mesh|Maximize Economic Value|Performance & Optimization|Powered by Snowflake|Data Sharing & Collaboration|Governance & Compliance|AI/ML | In this session, we will discuss the challenges of legacy SIEMs and why Okta decided to build their custom SIEM on top of Snowflake. By leveraging Snowflake as a security data lake and as an application-development platform, the security team was empowered to deploy evolving use cases from detection alerting, threat hunting, and security metrics. This session will be recorded. | Jake ThomasOktaPrincipal EngineerScott DermottOktaPrincipal Engineer, |
https://events.snowflake.com/summit/sessions/agenda/session/1116033 | MD105: How Chile's Largest Payment Platform is Redefining Data Monetization | 02/07/2025 01:30 PM | #REF! | (45 min) | Caesars Palace, Julius 16 | Modern Data Architectures|Breakout Session|Introductory|All Industries|Technical Executive|Migrations|Monetization|Data Sharing & Collaboration | Transbank, the largest bank in Chile, has undertaken a massive transformation to become a data-driven organization. With Snowflake as the core platform in realizing this vision, Transbank is redefining their business model, building strategic initiatives such as external monetization of data products, and implementing data applications in the form of the Internal Data Marketplace and Data Ingestion as a Service. The Transbank technology team owns the initiative of building an automated framework for the rapid prototyping and development of data products or "Sandbox as a Service." Learn how Transbank is reducing the low-value cognitive overhead typically required when building new products by following proven DataOps patterns to allow data engineers to shift their time from building environments and preparing development data to proving and quickly delivering new informational value. This session will be recorded. | Patrick BuellHakkoda, Inc.Co-Founder, VP of CoWilliams UlloaTransbankData Manager |
https://events.snowflake.com/summit/sessions/agenda/session/1151433 | DE116: How a Dynamic Wholesale Marketplace Redesigned Their Core Data Pipelines Using Select Star | 02/07/2025 01:30 PM | #REF! | (45 min) | Caesars Forum, Academy 416 | Data Engineering|Breakout Session|Introductory|Retail / CPG|BI / Analyst|Data Engineer|BI / Analytics|Data Engineering & Pipelines|Modernize Pipelines | From expansive, heavy queries to high-scale pipelines, wholesale marketplace Faire was on a journey to optimize its central data and take advantage of Snowflake's Data Cloud. In Faire's dynamic marketplace, changes to core tables are frequent and quality is paramount. With Snowflake and Select Star, Faire was able to break apart large tasks into a distributed, high-performance query strategy that provided modularity, scalability, and reduced critical time for refresh and incident triage. At the end of this refactor, Faire was able to achieve up to 8x faster refreshes and significantly reduce the engineering hours required to maintain their data. In this session, you will learn about Faire's migration journey and the tangible impacts from this initiative. | Ben ThompsonFaireStaff Analytics Engi |
https://events.snowflake.com/summit/sessions/agenda/session/1134886 | AD101: Build Simpler with Unistore | 02/07/2025 02:00 PM | #REF! | (45 min) | Caesars Forum, Academy 415 | Application Development|Breakout Session|Introductory|All Industries|BI / Analyst|Data Engineer|Data Scientist|IT / DBA|Product Manager|Security Practitioner|Software Developer|Technical Executive|Application Development|Data Engineering & Pipelines|Modernize Pipelines|Unistore | This session will dive into how Unistore simplifies data architectures by unifying transactional and analytical processing in the Snowflake Data Cloud. We'll discuss Snowflake's novel approach to transactional and analytical processing in a unified database, demonstrate how Unistore simplifies building applications on Snowflake, and showcase how our customers are benefitting from the product in preview. This session will be recorded. | Henrique DiasSiemensService ManagerMike SiswantoNorthern TrustSenior Vice PresidenPhillip ColettiSnowflakeSenior Product Manag |
https://events.snowflake.com/summit/sessions/agenda/session/1115903 | AD306: Managing Change: DevOps in Snowflake | 02/07/2025 02:00 PM | #REF! | (45 min) | Caesars Palace, Julius 5 | Application Development|Breakout Session|Advanced|All Industries|Data Engineer|DevOps|Software Developer|Application Development|Data Engineering & Pipelines|Performance & Optimization|DevOps | Learn how to automate object maintenance. This session will cover managing infrastructure with code utilizing Terraform and Flyway. We will also show how you can use Snowflake Native Apps as a useful tool to manage many accounts and automatically deploy object changes. This session will be recorded. | Brad CulbersonSnowflakeData Platform ArchitScott WinklerSnowflakeSenior Software Engi |
https://events.snowflake.com/summit/sessions/agenda/session/1116086 | OS206A: Best Practices for Snowflake's Native Data Governance Capabilities | 02/07/2025 02:00 PM | #REF! | (45 min) | Caesars Palace, Neopolitan 1 | Operating & Optimizing Snowflake|Breakout Session|Intermediate|All Industries|Business Executive|IT / DBA|Security Practitioner|Technical Executive|Snowgrid|Governance & Compliance | Learn best practices to better know and protect your data with Snowflake's native data governance capabilities. Easily connect to your data ecosystem for full data estate management and secure collaboration. Come hear how Citi has adopted Snowflake's native data governance features to address their compliance and regulatory needs. This session will be recorded. | Premcharan MarakaniCitiSr Lead ArchitectRaja BalakrishnanSnowflakeSenior Product Manag |
https://events.snowflake.com/summit/sessions/agenda/session/1148227 | ML219B: Hands-On Lab: Don't Let Your Customers Slip Away: A Guide to Churn Modeling w/ Snowflake and Hex (Repeat) | 02/07/2025 02:00 PM | - 4:00 PM | (2 hours) | Caesars Forum, Alliance 310 | AI/ML|Hands-on-Lab|Intermediate|All Industries|Data Engineer|Data Scientist|Software Developer|Data Engineering & Pipelines|AI/ML | Together, Snowflake and Hex are the perfect tools for teams looking to optimize their data science and machine learning workloads. Hex's features and notebook-style UI streamline development, while Snowflake provides a single, secure data platform. We invite you to participate in our hands-on lab, where you'll learn: - How to build a churn model using a random forest classifier - Leverage UDTFs in Snowpark to perform feature engineering and training - Accelerate your development workflow with Hex magic (AI assistance) (Repeat) | Gabe FlomoHexDeveloper AdvocatePrash MedirattaaSnowflakeSenior Partner Engin |
https://events.snowflake.com/summit/sessions/agenda/session/1115910 | CO105: Snowflake Marketplace: Discover, Evaluate, and Purchase Data, Services, and Apps | 02/07/2025 02:00 PM | #REF! | (20 min) | Caesars Forum, West Theater A | Collaboration|Theater Session|Non-Technical|All Industries|BI / Analyst|Business Executive|Data Engineer|Data Scientist|DevOps|IT / DBA|Product Manager|Security Practitioner|Software Developer|Technical Executive|Data Buyers|Application Development|Monetization|Powered by Snowflake|Snowflake Marketplace|Data Sharing & Collaboration | Discover how Snowflake Marketplace is transforming the current multi-step, disjointed process of finding, evaluating, and ultimately purchasing data and apps for your organization. In this session you will learn about new content on Snowflake Marketplace to power your use cases including financial data from LSEG and marketing apps from Braze. Join to learn how you can accelerate time to value by sourcing data and apps in the Data Cloud. | Austin BurkettRefinitiv, an LSEG BusinessGlobal Head of QuantKieran KennedySnowflakeHead of Marketplace |
https://events.snowflake.com/summit/sessions/agenda/session/1116067 | ML213: Snowflake on Snowflake: SaaS Spend Optimization Using Snowpark and ML | 02/07/2025 02:00 PM | #REF! | (45 min) | Caesars Forum, Academy 404 | AI/ML|Breakout Session|Intermediate|All Industries|Business Executive|Data Scientist|Software Developer|Application Development|Cost Governance|AI/ML | Large-scale enterprises waste millions of dollars every year on unutilized licenses to third-party SaaS apps. Some cost-conscious enterprises use arbitrary criteria to identify and revoke stale licenses, while some hire expensive consultants to do essentially the same. In this economy, it is crucial to strive for optimal methods to cut costs rather than passable ones.This talk will discuss how Snowflake's Data Science team for IT has turned the traditional SaaS model on its head, converting a license-based model to a consumption-based model. They use Snowpark and Streamlit-Snowflake's native machine learning and web-application capabilities-to develop Snowpatrol, Snowflake's internal application to quantify user consumption and automate the process of revoking stale SaaS licenses, while working with procurement to optimize cost avoidance and user experience when renewing contracts with key vendors. This session will be recorded. | Sandeep ChandanaSnowflake Inc.Director, Data ScienShweta GummidipudiSnowflakeVP, Enterprise Apps |
https://events.snowflake.com/summit/sessions/agenda/session/1140442 | MD217: Scaling Data Quality with Unsupervised Machine Learning Methods | 02/07/2025 02:00 PM | #REF! | (20 min) | Caesars Forum, East Theater D | Modern Data Architectures|Theater Session|Intermediate|Financial Services|Healthcare & Life Sciences|Technology|Telecom|BI / Analyst|Data Engineer|Data Scientist|DevOps|Product Manager|Technical Executive|Data Engineering & Pipelines|Migrations|Modernize Pipelines|Governance & Compliance|AI/ML | In today’s world, the challenge of data is no longer its size, diversity, or distribution but the lack of trust in its quality. While companies often use rules and metrics to monitor data quality, these measures can be time-consuming and burdensome. And more often than not, they only prevent known issues from recurring. In this session, Anomalo's CTO and Co-Founder, Jeremy Stanley will demonstrate and explain how Anomalo’s fully unsupervised machine learning algorithms work. These innovative algorithms require no setup, catch unexpected issues, minimize false positives, and prevent alert fatigue, providing a reliable solution to the problem of untrustworthy data. By the end of this session, you will gain valuable insights into the advantages and limitations of unsupervised data quality monitoring and learn how it can help organizations build trust in their data and confidently scale their operations. | Jeremy StanleyAnomaloCTO and Co-Founder |
https://events.snowflake.com/summit/sessions/agenda/session/1115874 | AA206: Mobility Pattern Analysis with Snowflake | 02/07/2025 02:00 PM | #REF! | (20 min) | Caesars Forum, East Theater C | Accelerating Analytics|Theater Session|Intermediate|All Industries|Public Sector|Retail / CPG|Telecom|BI / Analyst|Data Scientist|IT / DBA|Technical Executive|BI / Analytics|AI/ML | Wondering what Mobility Pattern Analysis is? Join this session, where we will describe its importance for equal mobility, last mile / collaborative logistics, finding optimal locations, and Smart City use cases. The lessons learned here apply to a variety of industries and use cases: telco, retail, governments, and marketing.In addition, get a live demo showcasing the city of Austin, TX, using Snowflake geospatial capabilities, CARTO's routing engine and visualizations. We'll also break down the technical architecture, as well as the code components that make up this architecture. | Eda JohnsonSnowflakeSr Manager / PrincipVenkatesh SekarSnowflakePrincipal Data Cloud |
https://events.snowflake.com/summit/sessions/agenda/session/1116010 | MA101: Decision Science: How Citi Is Delivering Data-Driven Insights to Power Personal Banking | 02/07/2025 02:00 PM | #REF! | (45 min) | Caesars Forum, Academy 410 | Marketing Analytics|Breakout Session|Introductory|Financial Services|BI / Analyst|Business Executive|Data Engineer|Data Scientist|Technical Executive|Customer 360|Data Engineering & Pipelines|Marketing Analytics|AI/ML | This session will deep dive into how Citi is partnering with Snowflake for data science and analytics initiatives across the U.S. personal banking business. Learn how Citi delivers faster, wider, and deeper data intelligence, and leverages machine learning to simulate analyses that optimize how teams can:- Build a single customer view across all products, channels, and customer journeys for more than 30 million customers- Inform pricing strategies for optimal interest rate solutions with predictions that account for macroeconomic, competitive, and organizational factors- Power marketing analytics that inform optimal marketing spend allocation This session will be recorded. | Murli BuluswarCitibankHead, U.S. Personal |
https://events.snowflake.com/summit/sessions/agenda/session/1151414 | DE222: How Canva Keeps Data Reliable at Scale | 02/07/2025 02:00 PM | #REF! | (45 min) | Caesars Forum, Academy 418 | Data Engineering|Breakout Session|Intermediate|All Industries|Business Executive|Data Engineer|Data Engineering & Pipelines | Canva empowers more than 125 million people around the world to design anything and publish anywhere. Data has been at the heart of their explosive growth, helping Canva establish a leading position in the design world in just under a decade.Join Jaskirat Grover from Canva and Kyle Kirwan from Bigeye to hear how Canva’s data team ensures reliability for their mission-critical data pipelines. During this session, you’ll get a brief tour of key use cases for data at Canva, a first-hand glimpse into how Canva leverages Bigeye’s data observability platform on Snowflake, and will walk away with actionable ideas and inspiration for leveraging data observability to measure and improve the reliability of data at your organization. This session will be recorded. | Jaskirat GroverCanvaAnalytics EngineerKyle KirwanBigeyeCo-founder & CEO |
https://events.snowflake.com/summit/sessions/agenda/session/1140453 | CO107: Unlocking the Power of Data Privacy: The Future of Marketing with Data Clean Rooms | 02/07/2025 02:00 PM | #REF! | (20 min) | Caesars Forum, West Theater B | Collaboration|Theater Session|Introductory|All Industries|Business Executive|Marketing Analytics|Powered by Snowflake|Data Sharing & Collaboration | In today's data-driven world, marketing is more complicated than it has ever been. Marketers are constantly looking for innovative ways to utilize customer data to understand the customers they love and better connect with prospects they would love to have. However, with increasing concerns around data privacy, regulatory changes, and security, it has become more challenging to work with customer data without compromising privacy or risking data breaches. As the challenges stack up, brands must weigh heavily on their MarTech and data services investments. Join Acxiom for an informative conversation addressing the marketing woes every brand is facing and how the power of privacy-safe data sharing, collaboration, and customer intelligence from the right data services partner will transform marketing as we know it. | Bhavna GodhaniaAcxiom LLCVP PartnershipsRishi BhosaleMorgan StanleyVice Presentient – D |
https://events.snowflake.com/summit/sessions/agenda/session/1155355 | IN035: How Accenture Is Transforming the Retail Data and AI Landscape to Maximize Value and Adoption | 02/07/2025 02:00 PM | #REF! | (25 min) | Caesars Forum, Industry Pavilion Theater South | Industry Impact|Theater Session|Non-Technical|All Industries|Business Executive|Powered by Snowflake | Accenture ai.RETAIL provides a comprehensive suite of customizable AI-powered solutions that enables retailers to leverage data analytics and AI to transform their marketing, merchandising, and supply chain functions. Our solution is infused with GenAI capabilities to help retailers unlock and amplify value from their data. During this session we will walk through our decision product accelerators that leverage Snowflake and Snowpark. | Anoop GopinathaAccentureGlobal Managing DireRafik SalamaAccentureData Science Associa |
https://events.snowflake.com/summit/sessions/agenda/session/1115985 | IN012: How Fiserv Built an Enterprise Data Strategy with Snowflake | 02/07/2025 02:00 PM | #REF! | (45 min) | Caesars Forum, Alliance 304 | Industry Impact|Breakout Session|Non-Technical|Financial Services|Retail / CPG|Technology|Telecom|BI / Analyst|Business Executive|Data Engineer|Data Scientist|DevOps|IT / DBA|Product Manager|Software Developer|Technical Executive|Application Development|BI / Analytics|Data Engineering & Pipelines|Data Lakes|Data Mesh|Maximize Economic Value|Modernize Pipelines|Monetization|Performance & Optimization|Powered by Snowflake|Snowgrid|Data Sharing & Collaboration|DevOps|AI/ML | Many organizations with different business lines and even more varied data sources face a similar challenge: How can you collect and connect all of your data from all areas of the business, each with client data priorities and subject matter experts, while also providing value along the way? In other words, how do you reach Data Nirvana?With Snowflake's unique data sharing capabilities, Fiserv was able to federate the data development across their enterprise and build products that serve individual business unit priorities, while also setting themselves up for future product innovation by having a completely enterprise-wide, connected, cross-client financial data set.In this session, learn how the Fiserv team led, evangelized, and delivered on an approach in partnership with Snowflake, while avoiding the politics, cutting down on delivery time, and fueling the Fiserv data strategy. This session will be recorded. | Jon NordhausenFiservVice President - ProMarc RindFiservCTO Data - Banking |
https://events.snowflake.com/summit/sessions/agenda/session/1138742 | OS212: 3 Lessons on Increasing Data Adoption at WPP & Penguin Random House w/ Snowflake & data.world | 02/07/2025 02:00 PM | #REF! | (45 min) | Caesars Palace, Julius 13 | Operating & Optimizing Snowflake|Breakout Session|Intermediate|Technology|Business Executive|Data Engineer|Product Manager|Technical Executive|Customer 360|Maximize Economic Value|Performance & Optimization|Data Sharing & Collaboration|Governance & Compliance | Traditional data warehouses modeled data in advance of usage. Modern data stacks are more like the internet─enabling data producers to continuously release and data consumers to immediately discover data that wasn't there the day before. This new model of data management requires a new interface for data discovery and governance. Like an internet search, it must embrace generative AI and knowledge graphs. Join us for an interactive discussion with data leaders from both the world's oldest publisher, Penguin Random House, and the creative transformation company, WPP, to learn how both companies dramatically increased usage of their Snowflake implementations with data.world, the data catalog for the modern data stack. Learn how your data team can drive data adoption on Snowflake at scale. Join us to hear how Snowflake customers WPP and Penguin Random House are using the data.world data catalog powered by Snowflake to increase data adoption. This session will be recorded. | Pete WilliamsPenguin Random House UKDirector of DataStephanie McReynoldsdata.worldChief Marketing OffiVipul ParmarWPPGlobal Head of Data |
https://events.snowflake.com/summit/sessions/agenda/session/1138763 | AA303: Accelerate Data Monetization-A Data to Decision Journey | 02/07/2025 02:00 PM | #REF! | (45 min) | Caesars Palace, Julius 19 | Accelerating Analytics|Breakout Session|Advanced|All Industries|BI / Analyst|Business Executive|Data Engineer|Data Scientist|DevOps|IT / DBA|Product Manager|Security Practitioner|Software Developer|Application Development|BI / Analytics|Community|Cost Governance|Customer 360|Data Engineering & Pipelines|Data Lakes|Data Mesh|Marketing Analytics|Maximize Economic Value|Migrations|Modernize Pipelines|Monetization|Performance & Optimization|Powered by Snowflake|Data Sharing & Collaboration|DevOps|Governance & Compliance|AI/ML | Data-driven organizations harness the power of their data to make informed and impactful business decisions, directly influencing their bottom line. To truly leverage your data, building trust in your data platforms is crucial. Trust encompasses mastering key metadata matrix components, such as data quality, data privacy, data interoperability, data latency, data integration, and discoverability. Join us in this insightful session, where we'll showcase the data to decision journey through the lens of our successful, data-driven customers. Learn how they've built trust in their data platforms and transformed their organizations by empowering data for better decision-making. Be inspired by their stories and gain valuable insights to supercharge your own data monetization journey. This session will be recorded. | Rajesh ShriyanNetAppSenior Director and Srinivas KompellaHCLTechSenior Vice Presiden |
https://events.snowflake.com/summit/sessions/agenda/session/1115916 | CO204: How Franklin Templeton's Data Hub Powers Business-Critical Analytics, Operations, and Apps | 02/07/2025 02:00 PM | #REF! | (20 min) | Caesars Forum, Industry Pavilion Theater North | Collaboration|Theater Session|Intermediate|Financial Services|BI / Analyst|Data Engineer|Data Scientist|DevOps|IT / DBA|Product Manager|Software Developer|Technical Executive|Data Buyers|Application Development|Data Lakes|Snowflake Marketplace|Unistore|Data Sharing & Collaboration|AI/ML | Central to the strategy of powering both enterprise analytics and operational use cases, Franklin Templeton created an Integrated Data Hub in the Snowflake Data Cloud. Building on Snowflake's core Data Warehouse, and leveraging Unistore for transactional data processing and Snowpark for data science, Franklin Templeton drew on third-party data from Snowflake Marketplace to surface deeper insights in applications and tune data science models while using listing discovery controls to share data with specific business partners. | |
https://events.snowflake.com/summit/sessions/agenda/session/1115893 | AD201: Hands-On Lab: Build an App Native to Snowflake | 02/07/2025 02:00 PM | - 4:00 PM | (2 hours) | Caesars Forum, Alliance 309 | Application Development|Hands-on-Lab|Intermediate|All Industries|Software Developer|Application Development|Data Sharing & Collaboration | With the Snowflake Native App Framework you can build and deploy apps on Snowflake’s platform, drive new revenue by distributing apps on Snowflake Marketplace that run directly in your end-customer's Snowflake accounts. Join this lab for a step-by-step guide to build your first Snowflake Native App! | Daniel MyersSnowflakeSenior Manager, PrinGilberto HernandezSnowflakeDeveloper Advocate |
https://events.snowflake.com/summit/sessions/agenda/session/1148228 | AD206B: Hands-On Lab: Build and Secure Multi-Tenant Applications Using Sigma and Snowflake (Repeat) | 02/07/2025 02:00 PM | - 4:00 PM | (2 hours) | Caesars Forum, Alliance 314 | Application Development|Hands-on-Lab|Intermediate|All Industries|BI / Analyst|Data Engineer|Product Manager|Software Developer|Application Development|BI / Analytics|Data Engineering & Pipelines | Whether you're a global retailer, a tech company, or a financial services firm, providing near real-time embedded analytics to your business users can help optimize your operations, improve your product conversion, and drive new lines of revenue. Join Snowflake and Sigma for an instructor-led hands-on lab at Summit, where you'll learn how to build scalable, customer-facing analytics applications optimized for Snowflake. In this lab you'll learn how to: - Build an interactive, embeddable dashboard with unique drill-down capabilities using Snowflake and Sigma's unique UI - Leverage column- and row-level security policies to secure data in Snowflake - Dynamically assign Snowflake role and warehouse using Sigma user attributes - Analyze engagement across customer demographics and see the end user experience in data products built on Sigma and Snowflake (Repeat) | Keith SmithSnowflakeSenior Partner SalesKelsey HammockSigma ComputingPartner Engineer |
https://events.snowflake.com/summit/sessions/agenda/session/1115993 | IN020: Telecom Data Cloud Overview | 02/07/2025 02:30 PM | #REF! | (45 min) | Caesars Palace, Augustus 5 | Industry Impact|Breakout Session|Non-Technical|Telecom|BI / Analyst|Business Executive|Data Engineer|Data Scientist|DevOps|IT / DBA|Product Manager|Security Practitioner|Software Developer|Technical Executive|Application Development|BI / Analytics|Community|Cost Governance|Customer 360|Cybersecurity|Data Engineering & Pipelines|Data Lakes|Data Mesh|IT Operations|Marketing Analytics|Maximize Economic Value|Migrations|Modernize Pipelines|Monetization|Performance & Optimization|Powered by Snowflake|Snowflake Marketplace|Snowgrid|Supply Chain|Unistore|Data Sharing & Collaboration|DevOps|Governance & Compliance|AI/ML | Join industry leaders to learn how some of the largest global customers in the telecommunications industry are using Snowflake's Telecom Data Cloud to grow revenue, monetize their data, and maximize operational efficiency. This session will be recorded. | Anita MishraAT&TLead Solutions ArchiNeeharika ChowdharyOne NZGrowth Lab & Digi ExRandy PettusCharter CommunicationsPrincipal Data Scien |
https://events.snowflake.com/summit/sessions/agenda/session/1115976 | IN003: Elevance Health: Modernizing and Accelerating Health Data Outcomes Using Snowpark | 02/07/2025 02:30 PM | #REF! | (45 min) | Caesars Palace, Julius 16 | Industry Impact|Breakout Session|Non-Technical|Healthcare & Life Sciences|Public Sector|BI / Analyst|Business Executive|Data Engineer|Data Scientist|DevOps|IT / DBA|Product Manager|Software Developer|Technical Executive|Application Development|BI / Analytics|Cost Governance|Data Engineering & Pipelines|Data Lakes|Data Mesh|IT Operations|Maximize Economic Value|Migrations|Modernize Pipelines|Performance & Optimization|Snowgrid|Data Sharing & Collaboration|DevOps|Governance & Compliance|AI/ML | Learn how Elevance Health moved all of their data and analytics workloads to the cloud as part of their data strategy vision. Using Snowpark, Elevance's enterprise data lake architecture, and Snowconvert, Elevance was able to create a metadata driven framework converting their entire tech stack of over 100K lines of code to Snowpark while meeting enterprise security standards, all within weeks. They were able to generate business and technical value and set the vision for all future Hadoop workloads to fully utilize and leverage Snowpark as the standard across Elevance. This session will be recorded. | Kumaran RaghunathanSnowflakePrincipal Solutions Sanjay VishwakarmaElevance HealthStaff VP - Engineeri |
https://events.snowflake.com/summit/sessions/agenda/session/1155352 | OS107: Efficiency Delivered: How Pitney Bowes Is Optimizing Snowflake to Drive New Workloads | 02/07/2025 02:30 PM | #REF! | (25 min) | Caesars Forum, Industry Pavilion Theater North | Operating & Optimizing Snowflake|Theater Session|Introductory|All Industries|Business Executive|IT / DBA|Technical Executive|Cost Governance|Data Mesh|Performance & Optimization|Governance & Compliance | As a global shipping and mailing company supporting more than 90% of the Fortune 500, Pitney Bowes manages a huge amount of logistical and operational data. The flexibility of Snowflake gave Pitney Bowes improved data visibility and query performance and enabled them to implement a data mesh architecture. In this session, Vishal Shah, Data Architect Manager at Pitney Bowes, will share how the company successfully implemented data mesh on Snowflake and how they are optimizing their data ecosystem. Vishal will also outline three ways they've optimized Snowflake, including dynamically sizing warehouses, optimizing query performance, and automating governance capabilities. | Vishal ShahPitney BowesData Architect Manag |
https://events.snowflake.com/summit/sessions/agenda/session/1140436 | MD218: Achieve a Complete View Of Your Customer With Twilio Segment + Snowflake | 02/07/2025 02:30 PM | #REF! | (20 min) | Caesars Forum, West Theater A | Modern Data Architectures|Theater Session|Introductory|All Industries|Data Engineer|Data Engineering & Pipelines | Personalization has a real impact on the bottom line - so much so that 80% of business leaders say consumers spend more when their experience is personalized. As a result, businesses are reassessing their tech stack to elevate their personalization strategies and develop unique customer journeys.The key to building a successful personalization strategy is utilizing the right data stack to activate real-time customer insights that provide a complete view of your customer and bring together online and offline data. Join this presentation to learn how Segment and Snowflake can work together to achieve better personalization and customer retention goals. We’ll walk through the new rETL and profile sync features in detail to understand how to leverage Snowflake’s data cloud with Twilio Segment. | |
https://events.snowflake.com/summit/sessions/agenda/session/1116047 | MD302: Migrating BigQuery Data Warehouse and Data Science Workloads to Snowflake | 02/07/2025 02:30 PM | #REF! | (45 min) | Caesars Palace, Pompeian 1 | Modern Data Architectures|Breakout Session|Advanced|All Industries|IT / DBA|Migrations|AI/ML | Looking to migrate from Google BigQuery to Snowflake? Join this session for best practices and lessons learned on everything from strategy and architecture to converting data types and moving pipelines. This session will be recorded. | Umair MoinuddinSnowflakeSenior Solutions Arc |
https://events.snowflake.com/summit/sessions/agenda/session/1115957 | DE207: Operationalizing Snowpark Python Deep Dive | 02/07/2025 02:30 PM | #REF! | (45 min) | Caesars Forum, Academy 411 | Data Engineering|Breakout Session|Intermediate|All Industries|Data Engineer|Data Scientist|DevOps|Software Developer|Application Development|Data Engineering & Pipelines|DevOps|AI/ML | With Snowpark Python now generally available, many customers are now able to bring production workloads in Python to Snowflake. But, how? For instance, how should you think about the DataFrame API vs. user-defined functions vs. UDTFs? In this session, you'll learn core design principles for building capabilities on top of Snowpark Python (across data engineering, data science, and data application workloads). This session will be recorded. | Caleb BaechtoldSnowflakeML/AI Field CTO |
https://events.snowflake.com/summit/sessions/agenda/session/1148220 | WN201B: What's New: Snowflake Compute Infrastructure (Repeat) | 02/07/2025 02:30 PM | #REF! | (45 min) | Caesars Palace, Augustus 3 | What's New|Breakout Session|Intermediate|All Industries|Data Engineer|Data Scientist|DevOps|Software Developer|Application Development|Data Engineering & Pipelines|Modernize Pipelines|DevOps|Generative AI & LLM|AI/ML | Join us to learn about the latest Snowflake platform innovation to provide developers with enhanced flexibility to work and build with data. (Repeat) This session will be recorded. | Miles AdkinsSnowflakeData Cloud PrincipalMuzz ImamSnowflakeSenior Product ManagPierre De BelenGoldman SachsManaging Director & |
https://events.snowflake.com/summit/sessions/agenda/session/1116094 | OS305A: Maximizing Snowflake Performance: A Comprehensive Best Practice Guide | 02/07/2025 02:30 PM | #REF! | (45 min) | Caesars Forum, Alliance 305 | Operating & Optimizing Snowflake|Breakout Session|Advanced|All Industries|Business Executive|Technical Executive|Cost Governance|Maximize Economic Value|Performance & Optimization | Do you ever wonder about the lifecycle of a Snowflake query? And how to investigate and understand factors that impact your query performance? This session aims to address these questions and more while providing actionable insights and practical tips to help you improve query performance. Topics addressed include a comprehensive overview of Snowflake query performance, covering the lifecycle of a Snowflake query, the Snowflake optimizer, factors affecting query performance, and best practices to improve performance. Participants will gain a deeper understanding of the fundamentals of the Snowflake compiler and optimizer, learn troubleshooting techniques to identify performance bottlenecks, and see how Snowflake features and services can optimize query performance for different scenarios. This session will be recorded. | Jiaqi YanSnowflakePrincipal EngineerMinzhen YangSnowflakePrincipal Engineer & |
https://events.snowflake.com/summit/sessions/agenda/session/1148223 | WN211B: What's New: Apache Iceberg in the Data Cloud (Repeat) | 02/07/2025 02:30 PM | #REF! | (45 min) | Caesars Palace, Augustus 1 | What's New|Breakout Session|Intermediate|All Industries|Data Engineer|IT / DBA|Software Developer|Technical Executive|Application Development|BI / Analytics|Community|Data Engineering & Pipelines|Data Lakes|Data Mesh|IT Operations|Migrations|Modernize Pipelines|Performance & Optimization|Powered by Snowflake|Governance & Compliance|AI/ML | Join us to hear the latest enhancements with Apache Iceberg, powering flexibility and open standards in the Data Cloud. (Repeat) This session will be recorded. | James MaloneSnowflakeDirector, Product MaRon OrtloffSnowflakeSenior Product Manag |
https://events.snowflake.com/summit/sessions/agenda/session/1115920 | CO301: How Fidelity Expedites Outcomes with Internal and External Cross-Cloud Data Collaboration | 02/07/2025 02:30 PM | #REF! | (45 min) | Caesars Palace, Julius 23 | Collaboration|Breakout Session|Advanced|Financial Services|BI / Analyst|Business Executive|Data Engineer|IT / DBA|Product Manager|Security Practitioner|Technical Executive|BI / Analytics|Marketing Analytics|Modernize Pipelines|Snowflake Marketplace|Snowgrid|Data Sharing & Collaboration|Governance & Compliance | Sharing data without moving data physically is a new paradigm. It eliminates data redundancy and gives access to readily available data to combine with existing data to get deeper insights. Fidelity is able to eliminate costly and time-consuming legacy methods of sharing data with external clients, such as SFTP file transfers or physical paper copies. You will learn how Fidelity enables data sharing with external parties in any region and on any cloud platform by creating multiple satellite Snowflake accounts on different cloud service providers (CSPs) in different regions, as well as with parties not yet on Snowflake. Data Clean Rooms help Fidelity enrich marketing data sets and provide more insights to the sales team on new opportunities. This session will explore the many ways in which Snowflake collaboration capabilities expedite data analytics and business outcomes at Fidelity. This session will be recorded. | |
https://events.snowflake.com/summit/sessions/agenda/session/1115914 | CO202: Measure the Economy Real-time: Lessons from Hedge Funds | 02/07/2025 02:30 PM | #REF! | (45 min) | Caesars Palace, Julius 16 | Collaboration|Breakout Session|Intermediate|Financial Services|Media / Entertainment / Advertising|Retail / CPG|BI / Analyst|Business Executive|Data Engineer|Data Scientist|Product Manager|Technical Executive|Data Buyers|Snowflake Marketplace|Data Sharing & Collaboration|AI/ML | New hybrid work-from-home policies, increasing inflation rates, and a volatile stock market are just a few of the events in 2023 that are shaping new consumer buying patterns. What does this mean for investors, insurers, retailers and consumer brands? Join this session to learn from Cybersyn founder and former data science lead at Coatue, Alex Izydorczyk. He will dive into the market data and share how consumer spend has evolved and how you can analyze 3rd party/alternative data in Snowflake like a hedge fund to spot these trends and the potential impacts to your business. Cybersyn is a DaaS (data-as-a-service) company whose mission is to make the world's economic data transparent to governments, businesses, and entrepreneurs. This session will be recorded. | Alex IzydorczykCybersynFounder and CEO |
https://events.snowflake.com/summit/sessions/agenda/session/1151415 | DE117: Accelerate Growth and Transformation with AI-first Digital Engineering | 02/07/2025 02:30 PM | #REF! | (20 min) | Caesars Forum, East Theater D | Data Engineering|Theater Session|Introductory|Financial Services|Healthcare & Life Sciences|Media / Entertainment / Advertising|Public Sector|BI / Analyst|Business Executive|Data Scientist|BI / Analytics|AI/ML | In today's rapidly evolving business landscape, enterprises must embrace digital transformation to remain competitive. AI and data-driven solutions are at the forefront of this transformation, enabling businesses to make more informed decisions, streamline operations, and deliver better customer experiences. However, implementing AI and data-driven solutions can be a complex process, requiring expertise in both AI and digital engineering. Join us for a session on how Quantiphi's AI-first digital engineering approach, in collaboration with Snowflake and leveraging Snowpark, can accelerate your digital transformation journey. In this talk, the team will bring real-life use cases on how Snowpark is poised to simplify the data ecosystem while running complex industry-specific workloads, as well as disrupt the culture of how both engineering and business teams collaborate with data on Snowflake. | Pronoy RoyQuantiphi, Inc.Snowflake Alliance L |
https://events.snowflake.com/summit/sessions/agenda/session/1138740 | AA112: Unlock Your Insights: How Perdue Farms Delivered Business-Wide Value w/ Dataiku and Snowflake | 02/07/2025 02:30 PM | #REF! | (45 min) | Caesars Palace, Julius 7 | Accelerating Analytics|Breakout Session|Introductory|Retail / CPG|BI / Analytics | During the pandemic, when supply was low, Perdue Farms leveraged analytics to help fill grocery shelves with protein. In this session, you'll learn how Perdue overcame data acquisition and preparation challenges across both tools and teams to create a streamlined model enabled by Dataiku and Snowflake. By removing common analytics project roadblocks, such as slow speed-to-market, lack of success criteria, and the need for technical skills, Perdue Farms has seen a reduction in labor costs and downtime while increasing its cross-organizational collaboration. This session will be recorded. | Jepson TaylorDataikuChief AI StrategistKyle BenningPerdue FarmsDirector of Informat |
https://events.snowflake.com/summit/sessions/agenda/session/1115931 | CY105: Trellix Enterprise Security Is Powered by Snowflake | 02/07/2025 02:30 PM | #REF! | (20 min) | Caesars Forum, West Theater B | Cybersecurity|Theater Session|Introductory|All Industries|Business Executive|Product Manager|Software Developer|Technical Executive|Application Development|Cybersecurity|Data Engineering & Pipelines|Performance & Optimization|Powered by Snowflake|Data Sharing & Collaboration|AI/ML | Trellix has a proven history of running a cloud at scale with cloud security offerings serving tens of billions of cloud queries per day. Trellix security products analyze and correlate billions of events per day to keep their 40,000+ customers safe. Due to the massive data volumes Trellix needs to process, previous architectures could not scale and therefore they experienced operationally complexity, limiting the potential of their security products. By leveraging Snowflake, Trellix is able to scale up the volume of data required to analyze and correlate events across all of their products, deploy multi-tenant cloud distributions to facilitate deeper mining and wide-scale analytics, and analyze large datasets. Join this session to learn why they replatformed their product by migrating to Snowflake. | Ashok BanerjeeTrellixSVP, EngineeringKaran SondhiTrellixCTO, Public Sector |
https://events.snowflake.com/summit/sessions/agenda/session/1115918 | CO207: M&A Made Easy: Logical Data Separation for Multiple Business Units with Secure Data Sharing | 02/07/2025 02:30 PM | #REF! | (20 min) | Caesars Forum, Industry Pavilion Theater South | Collaboration|Theater Session|Intermediate|All Industries|Data Engineer|IT / DBA|Security Practitioner|Technical Executive|Cost Governance|Data Engineering & Pipelines|Data Lakes|IT Operations|Data Sharing & Collaboration|Governance & Compliance | In 2022, the ODP Corporation (aka Office Depot), a leading provider of business services, products, and digital workplace technology solutions, decided to realign the organization for better customer engagement and experience. As part of the realignment, the organization created four business units, which impacted the enterprise data warehouse, built on Snowflake. Using Snowflake's features of Secure Data Sharing and Role-Based Access Control, the team created two different accounts and set up dynamic data sharing by applying filter criteria to base tables to control the data shared between the Snowflake accounts. Accessing data from secured views posed new challenges affecting areas such as cost management, security, performance, and user experience. The challenges were mitigated by minimizing the nested levels of views and eliminating complex logic in views by materializing reusable data. | Robert RossThe ODP CorporationDirector of EnterpriThomas ContriThe ODP CorporationManager, Sr. of Ente |
https://events.snowflake.com/summit/sessions/agenda/session/1116022 | MA205: Salesforce and Snowflake Are Powering Personalized Experiences with Real-Time Data Sharing | 02/07/2025 03:00 PM | #REF! | (45 min) | Caesars Palace, Julius 5 | Marketing Analytics|Breakout Session|Intermediate|All Industries|Data Engineer|Technical Executive|Customer 360|Marketing Analytics|Data Sharing & Collaboration | In today's digital-first world, consumers want personalized, connected, and trusted engagements. Personalizing these customer relationships, however, requires companies to build a single source of truth for customer data-something most companies struggle to achieve. Salesforce and Snowflake are collaborating on zero-copy data sharing innovations that enable customers to unlock more value from their data. With this integration, organizations can securely collaborate with data in near real time between Salesforce and Snowflake, minimizing the risks, costs, and headaches of traditional sync methods. This session will be recorded. | Chandra NayakSnowflakePartner Solution ArcSaptarshi MukherjeeSnowflakeDirector of Product |
https://events.snowflake.com/summit/sessions/agenda/session/1115913 | CO201: How Cisco Runs Supply Chain Solutions and Collaborates with Suppliers on Snowflake | 02/07/2025 03:00 PM | #REF! | (45 min) | Caesars Palace, Neopolitan 1 | Collaboration|Breakout Session|Intermediate|Manufacturing|Technology|Telecom|Supply Chain|Data Sharing & Collaboration | For supply chains to run smoothly, many parties need to work in lockstep with each other and various data points need to be connected. Learn how Cisco uses Snowflake for supply chain solutions across supplier management, part failure analysis, logistics, and much more-and how they collaborate with their ecosystem of suppliers and contract manufacturers. This session will be recorded. | Anup RaoCisco SystemsSr Director, EngineeHitesh MerchantCisco SystemsPrincipal Software E |
https://events.snowflake.com/summit/sessions/agenda/session/1116005 | IN100: Saks: Safe Expedition to Data Democratization or How to Secure Your Data 'Snowfort' | 02/07/2025 03:00 PM | #REF! | (45 min) | Caesars Forum, Academy 410 | Industry Impact|Breakout Session|Introductory|Retail / CPG|BI / Analyst|Business Executive|Data Engineer|Data Scientist|DevOps|IT / DBA|Product Manager|Security Practitioner|Software Developer|Technical Executive|BI / Analytics|Cost Governance|Data Engineering & Pipelines|Data Lakes|Data Mesh|IT Operations|Migrations|Modernize Pipelines|Performance & Optimization|Snowgrid|DevOps|Governance & Compliance|AI/ML | Data is one of the most valuable assets any company has. And like any asset we need to be able to use it while applying uncompromising security and governance. In this session I will cover various approaches to democratizing your secure data "snowforts." I will share what I learned over decades of working in industries ranging from music to software to agriculture tech, including benefits and gotchas of data classification, data masking, RBAC, multi-tenancy, Data Vault, build vs. buy, and more. This session will be recorded. | Veronika DurginSaksVP of Data |
https://events.snowflake.com/summit/sessions/agenda/session/1115968 | DE305B: Near Real-Time Ingestion and Transformation on Snowflake (Repeat) | 02/07/2025 03:00 PM | #REF! | (45 min) | Caesars Forum, Academy 415 | Data Engineering|Breakout Session|Advanced|All Industries|Data Engineer|Data Engineering & Pipelines|Maximize Economic Value|Modernize Pipelines | Organizations can derive immense value from data in general. There is an increasing demand for performing data analytics on real-time data, such as data stream or events data, at scale so that organizations can obtain these insights fast in order to react, respond, and make decisions quickly. In this session, you'll learn the data pipeline options to ingest your structured and semi-structured data into Snowflake and transform the data for servicing downstream applications in near real-time at scale. This session will include best-practices recommendations, cost optimization, and performance considerations when using such data pipelines. (Repeat) This session will be recorded. | Jason SnyderSnowflakePrincipal Solutions Man ZhangSnowflakeSr. Solutions Archit |
https://events.snowflake.com/summit/sessions/agenda/session/1127552 | Snowflake Startup Challenge Finale | 02/07/2025 03:00 PM | - 4:00 PM | (1 hour) | Caesars Forum, Data Heroes Theater | Application Development|Activity|Non-Technical|All Industries|Business Executive|Data Engineer|Data Scientist|Product Manager|Software Developer|Technical Executive|Application Development|Data Engineering & Pipelines|Powered by Snowflake|Data Sharing & Collaboration|AI/ML | Hundreds of early-stage startups, Powered by Snowflake, entered the Challenge to compete for a chance to win up to $1 million in funding from Snowflake Ventures and gain significant market exposure. Join this session to watch the final three contestants pitch their companies to a panel of judges who will announce the grand-prize winner on the spot. Judging the finale will be Benoit Dageville, Snowflake's Co-Founder and President of Product; Denise Persson, Snowflake's Chief Marketing Officer; President of NYSE Group Lynn Martin; and Founder and CEO of Altimeter Brad Gerstner. This session will be recorded. | Abdelmalik El-Guesaouithingsthinking GmbHChief Product OfficeAlexis SteinmanMaxaCo-CEOBaruch OxmanHoneydewCo-Founder & CTOBenoit DagevilleSnowflakeCo-Founder & PresideBrad GerstnerAltimeterFounder and CEOChuck AdkinsNYSE GroupCIODenise PerssonSnowflakeChief Marketing OffiLiron Slonimsky-ShemyHoneydewCo-founder, CBORaphael SteinmanMaxaCo-CEOSven KörnerthingsTHINKING.netCEO, AI Researcher |
https://events.snowflake.com/summit/sessions/agenda/session/1155351 | MD228: Victoria's Secret and Bath & Body Work's Platform Modernization Journey to Snowflake using Leaplogic | 02/07/2025 03:00 PM | #REF! | (45 min) | Caesars Palace, Julius 13 | Modern Data Architectures|Breakout Session|Intermediate|All Industries|Financial Services|Manufacturing|Retail / CPG|Technology|BI / Analyst|Business Executive|Data Engineer|Data Scientist|DevOps|Product Manager|BI / Analytics|Customer 360|Maximize Economic Value|Migrations|Modernize Pipelines|Monetization|Performance & Optimization|Data Sharing & Collaboration | The legacy data platform of Victoria's Secret and Bath & Body Works inhibited them from driving the next chapter of their analytical growth and led to challenges like a clogged data warehouse, data silos, performance bottlenecks, cost inefficiency and a data swamp with duplicate entries. Impetus Technologies helped Victoria's Secret and Bath & Body Works overcome these challenges and addressed the dilemma of choosing the right cloud partner by evaluating multiple options and benchmarking various choices. LeapLogic, Impetus' automated cloud accelerator, enabled Victoria's Secret and Bath & Body Works to seamlessly migrate 2,800+ production-grade EDW scripts and 400+ Hive scripts to Snowflake. Apart from seamless platform migration, critical success was also achieved in efficient data management post brand separation. Join this insightful session to explore how these global retail brands partnered with Impetus to facilitate their migration to Snowflake and create a unified source of truth for expedited data access and analytics. In the session, experts from Victoria's Secret, Bath & Body Works, and Impetus will uncover the challenges faced in their modernization journey and how Snowflake data sharing accelerated their migration amidst brand separation. | Chad McKibbenVictoria’s Secret & CoDirector Data ServicMike PatnodeImpetus Technologies IncRegional Vice PresidPatrick McNamaraBath & Body WorksVP of Technology |
https://events.snowflake.com/summit/sessions/agenda/session/1140445 | AA218: EY DataLink: an accelerator for modern data management | 02/07/2025 03:00 PM | #REF! | (20 min) | Caesars Forum, East Theater D | Accelerating Analytics|Theater Session|Intermediate|All Industries|BI / Analyst|Business Executive|Data Engineer|Data Scientist|Product Manager|Software Developer|Technical Executive|Data Engineering & Pipelines|Migrations|Modernize Pipelines|Powered by Snowflake|Governance & Compliance | EY DataLink offers cloud agnostic and UI-driven ‘’Modern Data Engineering and Management” modular toolkits at scale to perform and deliver accelerated data engineering and management functions. This EY solution, leverages the power of Snowflake services, to help fast-track cloud adoption for analytics through configuration-driven, low code/no code automation of data engineering and management workloads using leading practices and native capabilities. Join us in this 20-minute session to learn how EY can help you elevate data consistency, control and trust by improving code quality by up to 90% and increase developer productivity by up to 60% with EY DataLink. | Naga KumarEY - USASenior Solutions ArcSampath ParthasarathyEYExecutive Director - |
https://events.snowflake.com/summit/sessions/agenda/session/1138759 | ML218: Beyond PySpark: How Monte Carlo Built a Feature Store with Snowpark | 02/07/2025 03:00 PM | #REF! | (45 min) | Caesars Forum, Academy 418 | AI/ML|Breakout Session|Intermediate|Technology|Data Scientist|AI/ML | To help companies eliminate data downtime and accelerate data adoption, Monte Carlo, a Powered by Snowflake customer and data observability partner, needed a way to rapidly scale, train, and deploy automated data quality monitors as quickly and seamlessly as possible to support their hundreds of customers. In this workshop, Ryan Kearns, founding Data Scientist at Monte Carlo, and Yael Chemla, Data Engineering Manager at Monte Carlo, will discuss how and why they migrated data science workloads from PySpark to Snowpark to facilitate faster development and model improvements. By breaking down SQL queries into separate logical components implemented in Python with Snowpark, Monte Carlo was able to train and improve their machine-learning-based data quality monitors at an unprecedented speed and scale, leveraging SQL refactoring best practices and other process improvements. Among other topics, Ryan and Yael will discuss why they chose to migrate to Snowpark and the opportunities and challenges of ramping up a robust data science infrastructure.This session will be recorded. | Ryan KearnsMonte CarloFounding Data Scient |
https://events.snowflake.com/summit/sessions/agenda/session/1120285 | ML217: Snowflake on Snowflake: Financial Forecasting with Snowpark for Python | 02/07/2025 03:00 PM | #REF! | (45 min) | Caesars Forum, Academy 404 | AI/ML|Breakout Session|Intermediate|All Industries|Data Engineer|Data Scientist|Data Engineering & Pipelines|Modernize Pipelines|AI/ML | Learn how Snowflake uses Snowpark for Python innovations to forecast revenue and other key financial metrics. This talk will begin by describing the forecasting challenges Snowflake faces and the business impact of the solution. Snowflake uses Snowpark for Python to structure and process data, implement a machine learning based forecasting pipeline, integrate feedback from other departments in post-processing, and display the results. In the process, the presenters will walk through design and implementation decisions as well as various technical trade-offs faced and how they were addressed. This session will be recorded. | Matt FrankingSnowflakeManager, Finance Dat |
https://events.snowflake.com/summit/sessions/agenda/session/1140451 | MD305: HCLTech Demystifying Data Mesh for accelerated adoption: A Leap to Data-Driven | 02/07/2025 03:00 PM | #REF! | (20 min) | Caesars Forum, East Theater C | Modern Data Architectures|Theater Session|Advanced|All Industries|BI / Analyst|Business Executive|Data Engineer|Data Scientist|DevOps|IT / DBA|Data Mesh | Balancing the priorities of CTO, CIO and CDO organizations is essential for driving data-driven maturity within an organization. While the CTO and CIO prioritize platform capabilities, the CDO's organization focuses on data discoverability, understanding, and contextual consumption. Successfully navigating these concerns is a key indicator of an organization's progress toward becoming truly data-driven. Join us in this enlightening session as HCLTech unveils the secrets to effective Data Mesh design using Snowflake, enabling the seamless adoption of modern data platforms by your business. Discover how design considerations can empower your organization to overcome challenges and unlock accelerated data-driven success. | Navneet SharmaHCLTechGlobal Practice DireRajeshkumar ShoriHCLTechAssociate Vice Presi |
https://events.snowflake.com/summit/sessions/agenda/session/1115940 | CY302: Snowflake on Snowflake: ML and Streamlit for User and Entity Behavior Analytics | 02/07/2025 03:00 PM | #REF! | (45 min) | Caesars Forum, Alliance 304 | Cybersecurity|Breakout Session|Advanced|All Industries|Financial Services|Healthcare & Life Sciences|Manufacturing|Media / Entertainment / Advertising|Public Sector|Technology|Telecom|Data Engineer|Data Scientist|DevOps|Security Practitioner|Software Developer|Application Development|BI / Analytics|Cost Governance|Cybersecurity|Data Engineering & Pipelines|Data Lakes|Data Mesh|Migrations|Modernize Pipelines|Performance & Optimization|Data Sharing & Collaboration|Governance & Compliance|AI/ML | User and Entity Behavior Analytics (UEBA) is a proven behavior-based insider risk-detection solution within the security community. However, without cloud computing and its big data handling capabilities, machine learning (ML)-the crux of UEBA-cannot be robustly practiced, making it difficult to take note of normal conducts of users in scale while being able to catch anomalous behaviors promptly. With Snowflake, we could (1) use Snowpark UDFs for anomaly detection at scale; (2) use Streamlit to build interactive admin experience; (3) use built-in SnowML services as turnkey solutions for instant insights; (4) use Unistore-based anomaly detection for substantial cost saving along with optimized alerts; and (5) use data sharing for intelligence enhancement. Learn how you can detect unusual security behaviors in a timely manner with Snowflake. This session will be recorded. | Boyu WangSnowflake Inc.Principal Data ScienSandeep ChandanaSnowflake Inc.Director, Data Scien |
https://events.snowflake.com/summit/sessions/agenda/session/1146801 | AA216: How Xerox Optimizes Field Service Delivery with Advanced AI, Snowflake, and Cognizant | 02/07/2025 03:00 PM | #REF! | (25 min) | Caesars Forum, Industry Pavilion Theater South | Accelerating Analytics|Theater Session|Intermediate|Manufacturing|BI / Analyst|Business Executive|Data Engineer|Data Scientist|Data Engineering & Pipelines|Data Lakes|AI/ML | Today, service delivery is manual, inefficient and costly. 52% of companies are sticking with their manual methods for most of their field service tasks and as a result, the average first-time fix rate for field service delivery is 75%. That means companies have to dispatch an average of 1.6 additional technicians to fix the other 25%. We all know that hiring and retaining enough quality technicians and drivers to meet business goals is a challenge. In fact, 47% of field service companies cite this is as one of their top 10 business challenges.Join Cognizant and Xerox to learn how Xerox®Quick Resolve App powered by advanced artificial intelligence and leveraging Snowflake cloud data platform transformed the experience for Xerox field service agents and technicians. We will show you how AI-enabled Proactive Decision Support led to faster call resolution, increased efficiency and productivity, early detection of problem calls, device failures and remote solve opportunities, AI-driven parts recommendations, cost and time savings plus environmental benefits for the planet. If you are interested in fewer manual, in-person site visits, higher first-time fix rates and Improved client satisfaction, this session is for you. | Sagar GongeXerox CorporationDirector – AI, AnalySatish HegdeCognizant Technology SolutionsSr. Director - AI&A Subrahmayagirish BodduCognizant Technology SolutionsResident Snowflake A |
https://events.snowflake.com/summit/sessions/agenda/session/1140430 | MD111: Metadata Matters: Salesforce's Secrets to Designing a Cloud Data Platform | 02/07/2025 03:00 PM | #REF! | (25 min) | Caesars Forum, Industry Pavilion Theater North | Modern Data Architectures|Theater Session|Introductory|Technology|IT / DBA|Product Manager|BI / Analytics|Customer 360|Powered by Snowflake|Data Sharing & Collaboration | Salesforce is on a mission to define and align the organization with an enterprise data strategy that tunes operations and delivers great customer experiences. Their journey to adopt Snowflake included investing in metadata to navigate cloud complexity and ensure everyone can find and know how to use data. In this theater session, the Salesforce team will share how active metadata shaped their data cloud strategy. The team used Alation to identify systems, establish data governance, and leverage active metadata to make data accessible. By leveraging Alation with Snowflake, Salesforce can now deliver the right data to the right person at the right time. | Matt TurnerAlationDirector of Partner Murali KallemSalesforceHead of Data PlatforVikas SangwanSalesforceSr. Director of Data |
https://events.snowflake.com/summit/sessions/agenda/session/1116026 | MA300: Attribution in Data Clean Rooms w/ Snowflake Native App Framework & Python Stored Procedures | 02/07/2025 03:00 PM | #REF! | (45 min) | Caesars Palace, Julius 19 | Marketing Analytics|Breakout Session|Advanced|Media / Entertainment / Advertising|Data Engineer|Data Scientist|Security Practitioner|Technical Executive|Application Development|Marketing Analytics|Powered by Snowflake|Data Sharing & Collaboration|Governance & Compliance|AI/ML | Attribution measurement is a vital tool for advertisers to assess the impact of their media investments on business outcomes. From multi-touch attribution to Incrementality, these methods use advanced statistical models and machine learning algorithms to estimate the return on investment of advertising campaigns. As a certified measurement partner for NBC Universal, VideoAmp leverages the Snowflake Native App Framework and Python stored procedures to implement attribution methods in the secure environment of the Snowflake Data Clean Room (DCR) shared between NBCU and VideoAmp. The DCR secure environment allows VideoAmp to execute sophisticated solutions without accessing or storing NBCU's sensitive impression-level data, while also protecting the proprietary IP of VideoAmp's attribution methodology. The result is efficient measurement across multiple data sources, enabling effective collaboration and valuable business outcomes. This session will be recorded. | Ramzi NasrVideoAmpVice PresidentTyler CravenNBCUniversalSenior Manager |
https://events.snowflake.com/summit/sessions/agenda/session/1116092 | OS303: How Morgan Stanley Maximizes Snowflake's Single Platform | 02/07/2025 03:30 PM | #REF! | (45 min) | Caesars Forum, Academy 411 | Operating & Optimizing Snowflake|Breakout Session|Advanced|Financial Services|Application Development|BI / Analytics|Cost Governance|Snowgrid|Data Sharing & Collaboration | This session will showcase how Morgan Stanley has partnered with Snowflake to build a secure, self-managed platform with strong collaboration and business continuity capabilities, and financial governance. Content covered will include:Snowflake ecosystem overviewApplication-level multi-tenancyAccount sharingGranular cost reportingDisaster recovery and business continuity Application level cross-region failoversOne-click failoversCustom authentication and authorization workflowsStreamlined data sharingREST-based self-service toolAccount- and application-management workflows This session will be recorded. | Ajith VilasMorgan StanleyV.P Database Platfor |
https://events.snowflake.com/summit/sessions/agenda/session/1151406 | OS214: 5 Transgressions that Make your Data Pipelines Cost Too Much | 02/07/2025 03:30 PM | #REF! | (45 min) | Caesars Palace, Julius 16 | Operating & Optimizing Snowflake|Breakout Session|Intermediate|All Industries|Business Executive|Data Engineer|Data Engineering & Pipelines|Modernize Pipelines|Performance & Optimization | Everyone hates paying more for the same thing. So why do some teams pay up to 50% more than others to ingest and process data from the same sources? In this session, the data pipeline experts at Ascend will cover the top 5 transgressions of data pipelines that can drive unnecessary consumption for data ingestion, transformation, and downstream change propagation. They'll talk about common SQL optimization patterns, and show you how to leverage Snowpark for more complex data transformations that cost less than complex looping queries. You'll walk away with some real-world tips you can start using to lower your data pipeline consumption so you can bring more workloads into the Data Cloud. | Mr. Tom WeeksAscend.ioCOOShayaan SaiyedAscend.ioField Data Engineer |
https://events.snowflake.com/summit/sessions/agenda/session/1151409 | ML224: Quickly bring ML models to production with Snowflake and Amazon SageMaker low-code tools | 02/07/2025 03:30 PM | #REF! | (45 min) | Caesars Forum, Academy 405 | AI/ML|Breakout Session|Intermediate|All Industries|BI / Analyst|Data Engineer|Data Scientist|Technical Executive|AI/ML | The machine learning (ML) journey requires continuous experimentation and rapid prototyping to be successful. In order to create highly accurate models, data scientists must first experiment with feature engineering, model selection, and optimization techniques. These processes are traditionally time-consuming and expensive. In this session, learn about Snowflake's integration with SageMaker low-code tools (Amazon SageMaker Data Wrangler, Amazon SageMaker Autopilot, and Amazon SageMaker JumpStart), which empower practitioners to experiment faster and bring highly accurate models to production more quickly and efficiently. | Rajneesh SinghAWSGM No-Code/Low-Code |
https://events.snowflake.com/summit/sessions/agenda/session/1116066 | ML212: ML-Powered SQL: Capabilities, Insider's View, and Roadmap | 02/07/2025 03:30 PM | #REF! | (45 min) | Caesars Palace, Pompeian 1 | AI/ML|Breakout Session|Intermediate|All Industries|BI / Analyst|Data Engineer|Data Scientist|Data Engineering & Pipelines|Modernize Pipelines|AI/ML | ML powered functions enhance analyst decision speed and quality. Join this talk to understand how you can use capabilities like forecasting and more in your daily work or special projects. The presenters will also cover how the advanced analytics functionality are built, what is available today and what innovations are coming soon. This session will be recorded. | Dinesh KulkarniSnowflakePrincipal Product MaMichel AdarSnowflakePrincipal Software ERob WoollenSigma ComputingCTO / co-founder |
https://events.snowflake.com/summit/sessions/agenda/session/1151424 | IN106: Deloitte's MyRateFinder on Snowflake: Revolutionizing Price Transparency and Market Insights | 02/07/2025 03:30 PM | #REF! | (25 min) | Caesars Forum, Industry Pavilion Theater North | Industry Impact|Theater Session|Introductory|Healthcare & Life Sciences | Deloitte is thrilled to announce the launch of MyRateFinder on Snowflake, an innovative data-driven solution designed to reshape the way businesses navigate price transparency and access market insights. Leveraging the power and flexibility of Snowflake's Data Cloud, MyRateFinder enables organizations to analyze, visualize, and understand pricing data with unprecedented speed and efficiency. Join us for an exclusive session to discover how MyRateFinder on Snowflake empowers data-driven decision-making, optimizes market positioning, and helps organizations articulate their cost-to-value narrative, ultimately driving competitive advantage and fostering growth. | Brian WolotkaDeloitte Consulting LLPManaging DirectorPat SantaviccaDeloitteProduct Manager, My Vipin GuptaDeloitteSpecialist Leader / |
https://events.snowflake.com/summit/sessions/agenda/session/1115951 | DE202: How Blackstone Builds with Snowflake | 02/07/2025 03:30 PM | #REF! | (45 min) | Caesars Palace, Julius 7 | Data Engineering|Breakout Session|Intermediate|All Industries|Financial Services|Data Engineer|Technical Executive|Data Engineering & Pipelines|AI/ML | Blackstone is the world's largest alternative asset manager, with $975B in AUM, serving institutional and individual investors by building strong businesses that deliver lasting value. Their scale-with more than 12,000 real estate assets and 250 portfolio companies-enables them to invest in dynamic sectors positioned for long-term growth. In this session, learn how Blackstone is partnering with Snowflake to empower data-led decisions and enable and scale their data science teams to operate, report, and analyze data efficiently-all while bringing in new data. See how they created consolidated reporting layers for innovation applications and projects to track user activity and promote improvement efforts. As early adopters of Snowpark and Streamlit, they were also able to leverage advanced data science capabilities to inform business insights. This session will be recorded. | Chris RicciardiSnowflakeSr. Account ExecutivYoung ChaBlackstoneSenior Vice Presiden |
https://events.snowflake.com/summit/sessions/agenda/session/1115986 | IN013: How the Big Ten Conference Created an Innovative Hub-and-Spoke Model for Analytics and Growth | 02/07/2025 03:30 PM | #REF! | (45 min) | Caesars Palace, Julius 23 | Industry Impact|Breakout Session|Non-Technical|Media / Entertainment / Advertising|Public Sector|Technology|BI / Analyst|Business Executive|Data Engineer|Data Scientist|Product Manager|Technical Executive|Customer 360|Data Engineering & Pipelines|Data Mesh|Marketing Analytics|Data Sharing & Collaboration|Governance & Compliance|AI/ML | The Big Ten Conference is transforming the collegiate sports landscape as it revolutionizes how multi-team organizations leverage the modern data stack. As one of the only collegiate conferences with a defined data and analytics department, the Big Ten Conference has implemented an innovative hub-and-spoke data infrastructure on Snowflake, with a data activation layer focused specifically on driving business growth. By leveraging the extensibility and data sharing capabilities of the Snowflake Data Cloud, the Big Ten has created a game-changing architecture for its 14 member universities' central data strategy. This session will be recorded. | Aron ClymerData ClymerFounder & CEOChris SellGrowthLoopCo-Founder & Co-CEONate SchnaderBig Ten ConferenceSVP, Chief Informati |
https://events.snowflake.com/summit/sessions/agenda/session/1140431 | MD114: Data Modeling in the Modern Data Stack | 02/07/2025 03:30 PM | #REF! | (45 min) | Caesars Forum, Alliance 305 | Modern Data Architectures|Breakout Session|Introductory|Technology|Data Engineer|IT Operations|Modernize Pipelines|Performance & Optimization | In this session, we'll explore the role of data modeling in the modern data stack and how it fits into the larger picture of the Snowflake Data Cloud. Think of data modeling as the map that helps you navigate and make sense of your data in Snowflake, enabling you to efficiently and effectively derive insights and make informed decisions. This session will be recorded. | Kent GrazianoSqlDBMStrategic AdvisorOliver CramerAquila CapitalOwner Data Provision |
https://events.snowflake.com/summit/sessions/agenda/session/1146799 | MA211: Transforming Snowflake into a Marketing Engine that Engages with 34M+ Customers Annually | 02/07/2025 03:30 PM | #REF! | (45 min) | Caesars Forum, Academy 416 | Marketing Analytics|Breakout Session|Intermediate|Media / Entertainment / Advertising|BI / Analyst|Data Engineer|Data Scientist|Data Engineering & Pipelines|Marketing Analytics|Modernize Pipelines|Performance & Optimization | Many organizations strive to implement scalable customer data infrastructures, but few have been able to do so as successfully as AXS. Responsible for over 30,000 events annually, more than 300 elite venues, 10 professional sports teams and over 100 million annual guests, AXS delivers hyperpersonalized fan experiences across marketing and advertising channels. The recipe for their success? A modern marketing engine built on Snowflake that unlocks seamless collaboration between data and marketing teams and allows for personalized messages delivered through targeted segments at every point of the customer journey. Join us in this session to see how AXS uses a composable customer data platform built on Snowflake to drive experimentation and create data-driven marketing strategies that engage with over 100 million global customers. This session will be recorded. | Michael ColellaAXSSenior Director, DatTejas ManoharHightouchCofounder and co-CEO |
https://events.snowflake.com/summit/sessions/agenda/session/1163645 | DE308A: Orchestrating Data Pipelines with Snowpark dbt Python Models and Airflow Technical Deep Dive | 02/07/2025 03:30 PM | #REF! | (20 min) | Caesars Forum, East Theater C | Data Engineering|Theater Session|Advanced|All Industries|Data Engineer|DevOps|Data Engineering & Pipelines|Modernize Pipelines | A common Airflow use case is orchestrating Snowflake queries as part of a data pipeline. However, such pipelines are normally SQL-based and data engineers would like to interact with Python models to perform their data engineering. With the release of dbt version 1.3, it's now possible to create both SQL- and Python-based models in dbt, and these Python-based dbt models are made possible by Snowflake's new native Python support and Snowpark API for Python. With Airflow, you are now able to harness the power of Snowpark dbt Python Models and orchestrate these workflows to transform and manage your data. In this session, you'll see a technical deep dive into how we can build more fluid data pipelines with Snowpark for Python, dbt, and Airflow. | Adrian LeeSnowflakeSolutions Engineer |
https://events.snowflake.com/summit/sessions/agenda/session/1115902 | AD305: Observability for Snowflake Data Applications | 02/07/2025 04:00 PM | #REF! | (45 min) | Caesars Palace, Neopolitan 1 | Application Development|Breakout Session|Advanced|All Industries|DevOps|IT / DBA|Software Developer|Application Development|Performance & Optimization|Powered by Snowflake|DevOps | It is critical to build robust monitoring and alerting capabilities, otherwise known as observability, into applications. In this session, Capital One will discuss the architecture and design it leveraged to build observability into its applications on Snowflake. The session will also dig into two new Snowflake features that users can leverage to add observability into data applications: Event Tables and Alerts. This session will be recorded. | Brad CulbersonSnowflakeData Platform ArchitLakshmi Phani KommarajuCapital One SoftwareSr. Lead Software En |
https://events.snowflake.com/summit/sessions/agenda/session/1116015 | MA106: Building the Future of MarTech on the Data Cloud: CXO Panel of Powered by Snowflake Partners | 02/07/2025 04:00 PM | #REF! | (45 min) | Caesars Forum, Academy 418 | Marketing Analytics|Breakout Session|Introductory|All Industries|Product Manager|Security Practitioner|Software Developer|Technical Executive|Application Development|Customer 360|Marketing Analytics|Monetization|Powered by Snowflake | Over the past decade, customer data platforms have helped marketers capture and leverage first-party data as a part of their owned and paid media strategies. While CDPs have made data collection and activation easier, they can also be another data silo if not properly integrated with your enterprise data platform. With Snowflake, our partners can bring their applications to the Data Cloud, instead of forcing customers to move their customer data to their platform. In doing so, these partners have helped customers eliminate data friction within their marketing initiatives. Join this session to hear leaders from Powered by Snowflake partners discuss the future of MarTech applications in the Snowflake Data Cloud. This session will be recorded. | Alex DeanSnowplowCEO and Co-FounderLuke AmbrosettiSnowflakePartner Solutions ArNatalia DykyjMessageGearsChief Marketing OffiSoumyadeb MitraRudderStackFounder & CEOSpencer BurkeBrazeSVP, Growth |
https://events.snowflake.com/summit/sessions/agenda/session/1116083 | OS203: Five Inefficiencies in Your Data Platform That are Limiting Business Value | 02/07/2025 04:00 PM | #REF! | (45 min) | Caesars Forum, Alliance 304 | Operating & Optimizing Snowflake|Breakout Session|Intermediate|All Industries|Business Executive|IT / DBA|Technical Executive|Cost Governance|Maximize Economic Value|Performance & Optimization | Gone are the days when your data costs were fixed. The wrong decision can cost you-big time. In many cases, these avoidable costs are generated by user decisions, limiting business value from your data platform. For example, you can write the same query two different ways and get the same results, but one could cost you 20 cents and another 20 dollars. You may also frequently load data when access is infrequent. In this session, we'll identify five inefficiencies and share best practices for improvement. This session will be recorded. | Ganesh BharathanCapital One SoftwareDirector, Data EnginSalim SyedCapital One SoftwareVP and Head of Sling |
https://events.snowflake.com/summit/sessions/agenda/session/1115875 | AA207: The Future of Search at Snowflake | 02/07/2025 04:00 PM | #REF! | (45 min) | Caesars Forum, Academy 415 | Accelerating Analytics|Breakout Session|Intermediate|All Industries|Financial Services|BI / Analyst|Data Engineer|Data Scientist|IT / DBA|Software Developer|Technical Executive|BI / Analytics|Performance & Optimization | Snowflake is now a platform that seamlessly integrates large-scale processing and low-latency queries. Join this session to learn what's new in the space of search at Snowflake. We will review new features in search optimization that allow you to cut costs and do faster searches in semi-structured, text, and geographic data, be it from your BI dashboards or from data applications. We will also share where we are going with text search,and how we provide alternatives to former operators of Apache Lucene and Apache Solr to build integrated search that does not require copying data out of your data warehouse and maintaining a separate search index. This session will be highly relevant for users in cybersecurity, financial services, log analytics, business intelligence, and other industries and use cases. This session will be recorded. | Vinayak BorkarMach5 Software, Inc.CEOYogitha ChilukuriSnowflakeProduct Manager |
https://events.snowflake.com/summit/sessions/agenda/session/1148221 | WN207B: What's New: Machine Learning with Snowflake (Repeat) | 02/07/2025 04:00 PM | #REF! | (45 min) | Caesars Palace, Augustus 1 | What's New|Breakout Session|Intermediate|All Industries|Data Engineer|Data Scientist|Software Developer|Application Development|Data Engineering & Pipelines|AI/ML | Joins us to learn about the latest enhancements helping data scientists and ML engineers develop and productionize machine learning models natively in Snowflake. (Repeat) This session will be recorded. | Caleb BaechtoldSnowflakeML/AI Field CTOVenkat KrishnamurthySnowflakeSr Product Manager, |
https://events.snowflake.com/summit/sessions/agenda/session/1115936 | CY204: Snowflake on Snowflake: Reducing Cloud Security Risks with Orca | 02/07/2025 04:00 PM | #REF! | (45 min) | Caesars Palace, Julius 13 | Cybersecurity|Breakout Session|Intermediate|All Industries|Financial Services|Healthcare & Life Sciences|Manufacturing|Media / Entertainment / Advertising|Public Sector|Technology|Telecom|Security Practitioner|Technical Executive|Application Development|BI / Analytics|Cybersecurity|Data Engineering & Pipelines|Data Lakes|Data Mesh|Powered by Snowflake|Data Sharing & Collaboration|Governance & Compliance | Organizations across all industries are struggling to keep up with the multi-cloud complexities that have expanded their attack surface beyond traditional network perimeters. To address similar concerns, the Snowflake IT and Corporate Security team used Orca Security, a Snowflake connected application, to identify vulnerabilities, malware, and misconfigurations in the Enterprise Cloud environment. This presentation will cover the Snowflake security data lake architecture, the operational improvements we've seen in triaging vulnerabilities, misconfigurations and headline CVE events, and our vision for how we look to leverage Orca-generated data sets to build business-specific analytics using a Snowflake security data lake and the Connected Apps model. This session will be recorded. | Anand SridharanSnowflakeSenior Manager, SecuBrad WilliamsSnowflakeSenior Security Engi |
https://events.snowflake.com/summit/sessions/agenda/session/1134852 | MD209: Seamless Cross-Cloud Migration with Snowgrid | 02/07/2025 04:00 PM | #REF! | (45 min) | Caesars Forum, Academy 410 | Modern Data Architectures|Breakout Session|Intermediate|Retail / CPG|IT / DBA|Migrations|Snowgrid | In early 2021, the ODP Corporation, a leading provider of business services, products, and digital workplace technology solutions, through an integrated B2B distribution platform, expanded its relationship with Microsoft. As part of the expanded relationship, existing and legacy workloads needed to be migrated to Azure. The ODP Corporation's enterprise data warehouse, built on Snowflake, was among the first and largest systems to be successfully migrated from AWS to Azure. Using Snowflake's cross-cloud replication, the ODP team was able to successfully migrate all Snowflake databases with approximately 110 TB of data from AWS to Azure within four months, with zero production downtime. This session will be recorded. | Lakshmana SankarakuttalamThe ODP CorporationSenior Manager I.T.Sahaj SainiSnowflake Inc.Principal Product Ma |
https://events.snowflake.com/summit/sessions/agenda/session/1116056 | ML201: Dynamic Customer Segmentation with Bridg | 02/07/2025 04:00 PM | #REF! | (45 min) | Caesars Palace, Julius 19 | AI/ML|Breakout Session|Intermediate|Retail / CPG|Data Scientist|AI/ML | Bridg's data and audience platform delivers the foundation for retail media network success by enabling a single source of verified shopper truth, expanding a retailers' first-party audience and strengthening targeting capabilities across their media network. By leveraging Snowpark, machine learning, and their unique identity resolution capabilities, Bridg's Data Science team is creating dynamic customer segmentation models that unlock insights from billions of rows of customer data and enhance our machine learning powered product offerings. Bridg's state-of-the-art customer segmentation model quickly identifies target audiences based on hundreds of customer-level attributes and our clients' marketing goals. This session will be recorded. | Dylan SagerBridg, a division of CardlyticLead Data Scientist |
https://events.snowflake.com/summit/sessions/agenda/session/1116100 | WN200A: What's New: App Development with Streamlit | 02/07/2025 04:00 PM | #REF! | (45 min) | Caesars Palace, Augustus 3 | What's New|Breakout Session|Intermediate|All Industries|Data Engineer|Data Scientist|DevOps|Product Manager|Software Developer|Application Development|Data Engineering & Pipelines|DevOps|AI/ML | Join us to learn more about the latest enhancements to Snowflake's integration with Streamlit and how you can start quickly building apps using Python. This session will be recorded. | Aileen LuSnowflake IncProduct ManagerAmanda KellySnowflakeDirector of Product |
https://events.snowflake.com/summit/sessions/agenda/session/1116031 | MD103: Legacy Migration Best Practices with Snowflake Professional Services | 02/07/2025 04:00 PM | #REF! | (45 min) | Caesars Forum, Academy 404 | Modern Data Architectures|Breakout Session|Introductory|All Industries|IT / DBA|Migrations | Snowflake Professional Services can help you move away from legacy systems and unlock the full potential of your data. Join this session to learn about migration approaches, accelerators, and processes, and to hear success stories about other customers. This session will be recorded. | Bing ChenSnowflakeSr. Services ManagerElena AshleySnowflakeSr. Services Sales M |
https://events.snowflake.com/summit/sessions/agenda/session/1166558 | OS200B: Hands-On Lab: for Cost Optimization in Snowflake (Repeat) | 02/07/2025 04:30 PM | #REF! | (2 hours) | Caesars Forum, Alliance 310 | Operating & Optimizing Snowflake|Hands-on-Lab|Intermediate|All Industries|DevOps|IT / DBA|Software Developer|Technical Executive|Cost Governance|Maximize Economic Value|Performance & Optimization | Follow along for this hands-on lab on optimzing cost and performance inside Snowflake. Topics covered include visibility, control, and optimization of Snowflake spend. (Repeat) | |
https://events.snowflake.com/summit/sessions/agenda/session/1166557 | ML300A: Hands-On Lab: Get Started w/ Data Engineering and ML Using Snowpark for Python and Streamlit | 02/07/2025 04:30 PM | #REF! | (2 hours) | Caesars Forum, Alliance 309 | AI/ML|Hands-on-Lab|Advanced|All Industries|Data Engineer|Data Scientist|Application Development|Data Engineering & Pipelines|Modernize Pipelines|AI/ML | Get hands-on experience building data engineering and machine learning workflows using Snowpark for Python and Streamlit. You will work on an example scenario that will take you through the process of training a linear regression model to predict the ROI of advertising spend across multiple channels. By the end of the lab, you'll have learned how to create data pipelines, develop an ML model, use open source scikit-learn library, build Python UDFs, and deliver the results as an interactive application. You will learn to: - Analyze data to perform data engineering tasks using Snowpark DataFrames - Use open source Python libraries from a curated Anaconda channel - Deploy ML model training code to Snowflake using Python Stored Procedures - Create Python UDFs for inference - Create a Streamlit application that uses the UDF for prediction | Daniel MyersSnowflakeSenior Manager, PrinDash DesaiSnowflakeLead Developer Advoc |
https://events.snowflake.com/summit/sessions/agenda/session/1120281 | Builder Keynote | 02/07/2025 09:00 AM | #REF! | (1 hour, 30 min) | Caesars Palace, Octavius Ballroom | Keynote|Introductory|All Industries|Application Development|Community|Data Engineering & Pipelines|Modernize Pipelines|Monetization|Powered by Snowflake|Data Sharing & Collaboration|DevOps|Generative AI & LLM|AI/ML | The Snowflake Data Cloud enhances collaboration across multiple teams to go from raw data to production-grade data pipelines, machine learning models, and applications, but how? Join this keynote to take a dive into technical demos and customer architectures, and learn how you can be part of the Snowflake builder community. This session will be recorded. | Amanda KellySnowflakeDirector of ProductBenoit DagevilleSnowflakeCo-Founder & PresideChristopher WalshDTCCExecutive DirectorDash DesaiSnowflakeLead Developer AdvocEda JohnsonSnowflakeSr Manager / PrincipFelipe HoffaSnowflakeDeveloper AdvocateJames MaloneSnowflakeDirector, Product MaMarie CoolsaetSnowflakeSenior Data Science Rebecca VickeryEDF EnergyData Science Lead |
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