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Data Engineering & Integration

Moving and shaping data: Spark notebooks, pipelines, and Dataflow Gen2.

SparkData FactoryDataflow 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.
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