Microsoft Fabric gives you three ways to ingest data: Dataflow Gen2, Python notebooks, and the Copy Data activity. All three work. Choosing the wrong one creates rework.
This session applies all three to the same scenario, pulling data from a SQL database, a REST API, and ADLS-hosted files, then landing it in a single Fabric destination. You will see live configuration, real code, and pipeline orchestration, not diagrams.
You will leave with a decision framework that tells you when each tool earns its place. Dataflow Gen2 for low-code analyst scenarios. Python notebooks when you need full control. Copy Data when speed and simplicity matter more than flexibility. A Fabric Data Pipeline ties all three into one orchestrated flow.