Discover the Data Lakehouse: Simplifying Data Architecture for Analytics and ML

Discover the Data Lakehouse: Simplifying Data Architecture for Analytics and ML

Databricks via YouTube Direct link

Delta Sharing Secure data sharing between organizations

15 of 21

15 of 21

Delta Sharing Secure data sharing between organizations

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Classroom Contents

Discover the Data Lakehouse: Simplifying Data Architecture for Analytics and ML

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  1. 1 DATA+AI Virtual WORLD TOUR Training
  2. 2 Data explosion has created clear winners
  3. 3 But effectively leveraging data is not easy
  4. 4 We know data is critical to business outcomes
  5. 5 The Data and Al Maturity Curve From descriptive to prescriptive
  6. 6 Open source tailwinds
  7. 7 All organizations will be multi-cloud
  8. 8 Eliminate complexity
  9. 9 Data infrastructure is too complicated
  10. 10 Warehouses and lakes create complexity
  11. 11 The data lakehouse offers a better path
  12. 12 Data lakes alone present challenges
  13. 13 Delta Lake provides solutions
  14. 14 Unity Catalog for Governance of the Lakehouse
  15. 15 Delta Sharing Secure data sharing between organizations
  16. 16 ML & data science workloads on Databricks
  17. 17 Full ML Lifecycle on Databricks From data ingest to model deployment
  18. 18 Data engineering workloads on Databricks
  19. 19 SQL workloads on Databricks
  20. 20 Role based experiences A unified platform with purpose-built experiences for every member of a data team
  21. 21 Lakehouse adoption across industries

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