Modern Architecture for Data Applications

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Modern Architecture Data Applications

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Presentation Description:

In this session, engineers and architects will learn how to apply architectural principles and patterns to develop data applications and overcome scalability, reliability, and DevOps burden challenges. Hear how to design apps that meet the demands of increasing users and analytics-oriented workloads without adding a lot of development time or wrestling with the data infrastructure. We will also explore why many ISVs, startups, and developers leverage Snowflake to power modern data applications.

Presentation Track: Build Data Apps and Data Products
Presentation Date: November 29, 2020
Presentation Speaker(s): Brian Smith
Frank’s Comment: This looks pretty good. If you are interested in Devops which probably is more intermediate and advanced this will be a good one.

Overview ITS:

In this session summary, we learn more about modern architecture for data applications. The speakers highlight the capabilities and benefits of using Snowflake: you only pay for what you use, it separates compute storage, you have vectorized data processes, and there is scalable storage for all your data needs. With these qualities, Snowflake is ideal for dealing with really large datasets, and makes building data pipelines to share data a lot more simpler.
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