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Mapping Data Flows in ADF: Transformations Without Code
Mapping data flows let you design transformations on a canvas in Azure Data Factory and run them on Spark clusters the service manages. This guide explains how they work, walks through one flow stage by stage with real row counts, and sets out when a data flow is the right tool.
Wrangling Data Flows vs Mapping Data Flows in ADF
Azure Data Factory has two visual ways to transform data: mapping data flows, built as a graph, and wrangling with Power Query. Both run on Spark. This guide compares authoring, connectors, supported functions and limits, shows what each is good at, and explains how the choice carries into Microsoft Fabric.