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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.

Platform Keynote Notes

Technology should serve and be simple. One product and one engine. Ease of use and Govenance. Maximum efficiency and maximum simplicity.

5 essentials for the AI Data Cloud

  1. Data
  2. Elastic and on demand
  3. Acces to models
  4. Unified Governance 
  5. Share and access Cross-Cloud and Cross-Region

Data Complete – All Data (Structured, Semi-Structured and Un-Structure), Unistore (Hybrid Tables) and Iceberg Tables

Compute Complete – CPU’s and GPU’s on-demand. separate and independent. Snowpark for non SQL. Snowpark Container Services 

Enterprise AI – Cortex AI – Snowflake Artic 

Security & Governance – Snowflake Horizon

Global Collaborations – Cross Cloud, Cross Region – Data, Services and Apps

Strengthen Data Foundation

Data on your Terms

  • Document AI (GA) – Ask questions in Natural Language and  validate the answer – Arctic-TILT
  • Ingestion for Document AI (Public Preview)
  • Streaming & Batch – Dynamic Tables (GA)
  • Serverless Tasks Flex
  • Flexibele Architecture (Lakehouse, Mesh, etc.) – Iceberg Tables (GA) – Polaris Catalog 
  • Snowflake & Microsoft – Two way Interoperability – One Lake supports as Iceberg Tables

Discovery and Governance 

Snowflake Horizon – Blog

  • AccessUniversal Search (GA) – Internal Marketplace (PrP) – Uniform Listing Locators
  • Know – Data Classification Interface – Custom Classification – Auto Classification – Automatic Tag Propagation – Object Insights
  • SecurityTrust Center (GA) 
  • Compliance –  Data Quality Monitoring (GA) – Data Lineage – ML Lineage

Performance & Control – Snowflake Performance Index – Cost Management Dashboard

Applications 

Build Faster

Ship Securely 

Snowpark Container Services with Snowflake Native Apps

Simplify DevOps – Build, Test, Monitor & Operate and Deploy & Release 

Monitor & Operate

Deploy & Release 

Snowflake Trail – Observability

Enterprise AI

  • Snowflake Notebooks (PuPr) 
  • Scheduler Notebooks
  • Container Runtimes (PuPr) 
  • Inline Copilot (PrPr)
  • Snowflake Copilot (GA)

ML Development 

ML Operations

  • Feature Store
  • Model Registry

AI for Everyone

Cortex AI – Studio – Chat – Models

Models

Studio

Chat

Snowflake Snowsight will be available as from now in Dark Mode also!

Snowflake also summed up a lot of the announcements here.

Till next time.

Snowflake Data Superhero. Online also known as; DaAnalytics.

Daan Bakboord

DaAnalytics signature picture with Snowflake Data Superhero avatar.

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

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