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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 is the third in the series where I discuss different options for getting data into Microsoft Fabric, including Data Pipelines, Dataflow Gen2, Fabric Notebooks, OneLake Shortcuts, Database Mirroring.

We talk about the pros and cons of each to help you make better architectural decisions in Microsoft Fabric.

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

Timeline
0:00 Intro
1:08 Series review
1:29 The problem
3:07 Overview of the different methods
5:19 Data ingestion principles
7:29 Dataflow overview
7:54 Dataflow: when to use/ when not to use
10:09 Dataflow: implementation notes
13:11 Data pipeline overview
13:27 Pipelines: when to use/ not to use
15:35 Pipelines: implementation notes
17:38 Notebooks overview
18:29 Notebooks: when to use/ not to use
20:16 File/database replication overview
22:30 Shortcuts overview
22:52 Internal shortcut limitations
24:05 Shortcuts: implementation notes
25:17 Database mirroring overview
27:53 What to consider when choosing a method

#powerbi #microsoftfabric #dataanalytics