~/talk

Integrating Microsoft Fabric and Databricks for Modern Data Analytics

Talkat Commit Your Code 2025 · 2025-09-25..09-26· [databases]
slides:none on file

Compares Microsoft Fabric and Databricks head-to-head with concrete guidance: use Databricks for heavy ML/AI and Fabric for PowerBI-led BI, integrate via shortcuts and mirroring or Databricks live data share, store in OneLake/Parquet/Delta Lake to get time travel and ACID semantics, watch performance across data optimization compute and network, expect integration ROI in about 1.5–2.5 years with reported average returns near 250% ROI and a retail M&A case showing roughly $250 million impact.

AI-written summary · about

  1. 0:00Introduction
  2. 1:10Why integrate Fabric and Databricks
  3. 3:59Industry challenges and drivers
  4. 6:10Microsoft Fabric architecture
  5. 8:17Databricks Lakehouse concept
  6. 10:22Fabric versus Databricks differences
  7. 12:52Advantages and use cases
  8. 13:57Integration challenges
  9. 15:02ROI and examples
  10. 17:50Three integration layers
  11. 18:53Performance and security
  12. 19:37Best practices
  13. 21:48Technical deep dive
  14. 22:28Streaming and Lakehouse evolution
  15. 24:57Summary
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