What is Microsoft Fabric Data Factory? (Complete Guide)

What is Microsoft Fabric Data Factory? (Complete Guide) is explained in this M365 FM video guide. Learn the core concepts, key capabilities, practical use cases and implementation considerations for real-world Microsoft environments.

Is Microsoft Fabric Data Factory just a rebranded Azure Data Factory, or is it something entirely new? In this video, we break down exactly what this engine is and how it simplifies data movement within the Fabric ecosystem. By the end of this episode, you will understand the four core building blocks and how to decide if it is time to transition your workloads.

Microsoft Fabric Data Factory serves as the central mail room for your data, moving and integrating information across OneLake without the need for complex storage configurations. We explore how it differs from the classic Azure Data Factory (ADF) by focusing on capacity-based pricing and streamlined connection management. Whether you are a data engineer or a business analyst, understanding these tools is essential for modern data orchestration.

We dive deep into the primary components you need to know. Data Pipelines act as the recipe for your data, orchestrating complex flows with low-code activities. Dataflow Gen2 provides a familiar Power Query interface for transformations without writing code. We also cover Copy Jobs for automated ingestion and Mirroring for near real-time replication from sources like SQL Database and Snowflake. Finally, we look at the Medallion Architecture and offer practical guidance on when to stick with ADF versus moving to Fabric.

Chapters
0:00 Introduction to Fabric Data Factory
1:38 Fabric Data Factory vs Azure Data Factory
3:50 Building Block 1: Data Pipelines
6:12 Building Block 2: Dataflow Gen2
8:25 Building Block 3: Copy Jobs and CDC
10:10 Building Block 4: Database Mirroring
11:45 Medallion Architecture and Cost Analysis

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