What Microsoft Fabric Looks Like with End-to-End Automation
Description
Production-grade Microsoft Fabric implementations require coordinated ingestion, data refinement, warehouse operations, and governance. This session examines how Data Factory pipelines, OneLake Medallion architecture, and Fabric Warehouses work together in automated platforms, focusing on orchestration and warehouse automation patterns for reliable, repeatable analytics.
Key Takeaways
- Production-grade Microsoft Fabric implementations require coordinated ingestion, data refinement, warehouse operations, and governance
- This session examines how Data Factory pipelines, OneLake Medallion architecture, and Fabric Warehouses work together in automated platforms, focusing on orchestration and warehouse automation patterns for reliable, repeatable analytics
- Technical deep dive — implementation details and architecture
My Notes
Action Items
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