From Power BI to Microsoft Fabric: your ULTIMATE transition guide (FULL SERIES)

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So you want to move your analytics workloads from a Power BI-centric model to a Fabric-centric model? But how do you do that?

This video provides an introduction to a brand new series on the channel in which I walk through, step-by-step, some the major decision points you will face in your transition from the world of Power BI to the exciting world of Microsoft Fabric.

Catch up on the Power BI to Microsoft Fabric Transition Guide series here:    • Power BI to Fabric Transition Guide  

The plan for the series is to cover:
1.Series intro (this video)
2. Workspace strategies & Access control
3. Data access patterns (ingestion vs mirroring vs shorcuts)
4. Data ingestion tools (data pipeline vs dataflow vs Fabric notebook)
5. Data architecture patterns and data stores (lakehouse vs data warehouse vs KQL database)
6. Ensuring data quality (building robust analytics systems)
7. Connecting to Power BI (inc Direct Lake)
8. Power BI to Fabric end-to-end migration project
9. SPECIAL BONUS

Timeline
0:00 Intro
0:29 From a Power BI-centric architecture
0:58 To a Fabric-centric architecture
2:10 Community feedback
4:27 3 reasons to move to Fabric
7:20 Introducing the videos in the series
7:45 Workspace strategies
9:00 Ingestion vs mirroring vs shortcuts
10:37 Pipeline vs dataflow vs notebook
11:30 Lakehouse vs Warehouse vs KQL
12:10 Ensuring data quality
13:16 Connecting to Power BI (DirectLake)
13:49 Power BI to Fabric end-to-end project

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