Shortest Snowflake Summit 2022 Recap

Shortest Snowflake Summit 2022 Recap from a Snowflake Data Superhero If you missed the Snowflake SUMMIT or any part of Snowflake Summit Opening Keynote. Here are the most key feature announcements and recap[in “brief” but “useful” detail] KEY FEATURE ANNOUNCEMENTS — EXECUTIVE SUMMARY. [mostly in a chronological order of when they were announced. My top ~20. The […]

Snowflake’s Financial Services Data Summit Recap

Snowflake Financial Services Data Summit

Snowflake hosted an excellent virtual event this week focused on Snowflake’s Data Cloud solutions for Financial Services.  What we really enjoyed about this Industry Vertical Snowflake “Summit” was the combination of business and technology content.  When we launched our ITS solutions business long ago, our mission was Business/Technology Focused Solutions.  We believed heavily in bringing […]

What is the Snowflake Data Cloud?

What is the Snowflake Data Cloud is sort of a loaded question for long-time Snowflake Professionals like a large chunk of our Snowflake Solutions Community.  From a Snowflake Veteran user standpoint, [let’s assume that is anyone deeply working on Snowflake since the Fall 2019 or before] this is really a massive re-branding.   Many of us […]

What is Snoptimizer?

Hmmm.  What is Snoptimizer™? Snoptimizer™ is the first automated Cost, Performance, and Security Optimizer for Snowflake Accounts.  It is by far the easiest and fastest way to optimize your Snowflake Account quickly.  This unique service can optimize your Snowflake Account within minutes.  It is a no-brainer to test out.  Signup here for a fast and […]

GigOm

GigOm With superior performance and the most hands-off model of ownership, Snowflake is the epitome of a data warehouse as a service. The model, cost, features, and scalability have already caused some to postpone Hadoop adoption. In its multicluster, scale-out approach, Snowflake separates compute from storage. It is fundamental to the architecture where multiple, independent […]

ETL vs ELT: Data Warehouses Evolved

ETL vs ELT: Data Warehouses Evolved For years now, the process of migrating data into a data warehouse, whether it be an ongoing, repeated analytics pipeline, a one-time move into a new platform, or both, has consisted of a series of three steps, namely:

Semi-Structured Data Loading & Querying in Snowflake

Semi-Structured Data Loading & Querying in Snowflake Unstructured data has become a tremendously popular format today (be it JSON, Avro, Parquet, or XML) for a multitude of things such as IoT, mobile, and apps. Until now though, there’s been no fast and easy way to store and analyze this kind of data, but

Query Caching in Snowflake

Query Caching in Snowflake Have you ever experienced slow query response times while waiting for a report that’s being viewed by multiple users and/or teams within your organization simultaneously? This is a common issue in today’s data driven world; it’s called concurrency and it’s frustrating, usually delaying productivity just when the data being requested is […]

Querying Multiple Databases in Snowflake

Querying Multiple Databases in Snowflake If you’ve ever tried performing a query against multiple databases, and particularly with Microsoft SQL (although there’s no shortage of similar alternatives), than you likely already know just how painfully difficult this seemingly straightforward kind of query can be! With Snowflake, it couldn’t be easier. Whereas most competing database platforms […]

Snowflake Vertical: The Software Industry

How Snowflake has helped customers in the Software Industry In this new series of articles, we’re going to be approaching things from a vertical perspective. It helps to narrow things down by industry sometimes, especially since, as a business leader, time is always of the essence. Let’s start with a couple of case studies, beginning […]

Snowflake Vertical: The Service Industry

How Snowflake has helped customers in the Service Industry This, our second entry in for the series on approaching things from a vertical perspective, is an obviously gigantic industry to try and cover, so let’s just look at a couple very different use case histories, from two totally different service industry enterprises:

The Data Warehouse Evolution

Data Warehousing has been around for quite a few years. The last 20 years it has made the greatest impact on businesses. With the recent exponential growth in customer and sensor data then its been challenging for traditional data warehouses and appliances because they just were not designed for that amount of data. The cloud […]