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Snowflake Data Cloud Summit - Wrap Up

Snowflake Snowflake Data Cloud Summit — Wrap Up

Snowflake Data Cloud Summit proved that after all this years the core idea remains the same and is still strong. Technology should serve and Snowflake makes things simple. One Single Unified Platform, one product and one engine. Ease of use and Govenance. Maximum efficiency and maximum simplicity.

Bring the processing of data to the data instead of the other way around. Snowflake as a Platform where you build and share your Data, Apps and AI Products. Your data never has to leave the Platform and Snowflake takes care of this Platform.

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Snowflake Data Cloud Summit - Day II

Snowflake Data Cloud Summit – Day II

The second day of Snowflake Summit in the Moscone Center in San Francisco started with Platform Keynote packed with announcements and demo’s. The announcements were not necessarily completely new, but a continuation of things Snowflake was already working on. Lot’s of Developments and Previews have made it to GA status and are now Generally Available to the public. A few announcements were made as wel.

This blogpost a summarization of my notes with were possible a link to Snowflake publications or documentation.

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Snowflake Data Cloud Summit - Day I

Snowflake Data Cloud Summit – Day I

The first day of Snowflake Summit in the Moscone Center in San Francisco was a day with the first two announcements made during the Opening Keynote. These two announcements built upon the theme for this years Summit; “The Era of Enterprise AI”

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Snowflake’s Data Classification in Snowsight

Snowflake Data Governance directly from Snowsight

Last year I blogged about how to use Snowflake functionality to; “Know your Data”. Especially in these times where Generative AI becomes more and more mainstream, it’s essential to know what data is input for the LLM’s. Now Snowflake has made this a few clicks easier, offering classifying functionalities directly from Snowsight.

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Reviewing “Data Modeling with Snowflake” by Serge Gershkovich

“Data Modeling with Snowflake” by Serge Gershkovich is a practical guide that explores the use of universal data modeling techniques to accelerate Snowflake development. The book provides valuable insights into data modeling in general and specifically focuses on leveraging Snowflake’s unique objects and features for efficient and cost-effective solutions.

Here is a review of the book.

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