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.