Microsoft Fabric Data Factory Q&A
summary
Q&A covers Microsoft Fabric’s Data Factory integration with SQL, Spark, lakehouse and data warehouse workloads, touting a copy engine that becomes auto tune, auto optimize (fewer DIU knobs) and built-in Power Query plus ADF connectors. Fabric lands as public preview with migration tooling promised (no forced cutover; Azure Synapse supported). OneLake is ADLS Gen2‑compatible with planned cross‑tenant sharing; Purview integration and model registry/feature‑store roadmap are underway. Notebooks offer preprovisioned spark clusters and VS Code plus Git integration is coming; Data Flows Generation 2 and web‑scraping extraction are already demonstrated.
AI-written summary · about
chapters (20)
- 0:00Intro
- 1:52synapse
- 2:13copy optimization
- 4:30migration path
- 4:46Power BI
- 6:44Should you move
- 9:33My experience
- 14:34Roadmap
- 17:24Data Engineering
- 20:18Data Science
- 21:27Model Registry
- 22:10Analytics
- 23:09Sharing Data
- 24:03Data Sharing with One Lake
- 25:15Data Sharing with SAP
- 26:34SAP CDC Connector
- 29:50Master Data Services
- 31:56Data Integration
- 35:49Domains
- 40:41Data Science Roadmap
related talks
49mYour first flight with Data Factory in Microsoft Fabric
51mA Deep Dive into Microsoft Fabric Data Warehouse
44mUnify your data with OneLake and Microsoft Fabric
20mChoosing between Microsoft Fabric, Azure Synapse Analytics and Azure Data Factory
50mFabric: What's new and what's next
44mFlying High with Data Engineering in Microsoft Fabric
50mZero to Lakehouse in Microsoft Fabric
21mThe Future of Data Analytics: Adapting to the Shifting Technology Landscape