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Data Engineering & Integration
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Moving and shaping data: Spark notebooks, pipelines, and Dataflow Gen2.
Spark
Data Factory
Dataflow Gen2
Content
Lesson
Spark SQL in Microsoft Fabric — Intermediate: Catalyst, AQE, and choosing your SQL engine
Lesson
Spark SQL in Microsoft Fabric — Expert: Native Execution Engine, shuffle, and read-path internals
Lesson
Spark SQL in Microsoft Fabric — Beginner: querying the lakehouse from notebooks
Lesson
Architecting Spark Workloads in Microsoft Fabric
Lesson
Spark Engine Internals in Microsoft Fabric: Native Execution, Compute Topology, and the Write Path
Lesson
The Spark engine in Microsoft Fabric — Beginner
Article
Data Engineering & Integration in Microsoft Fabric
A cited guide to Fabric engineering choices across Spark, Data Factory pipelines, Copy activity, and Dataflow Gen2.
Lesson
Dataflow Gen2 in Microsoft Fabric — Beginner
Lesson
Data Factory in Microsoft Fabric — Beginner
Subtopics
Spark / Data Engineering —
Notebooks, Spark job definitions, and the runtime that powers engineering workloads.
Data Factory —
Pipelines and copy activities for orchestrated data movement.
Dataflow Gen2 —
Power Query-based, low-code transformation into OneLake destinations.