Mapping data flows are visually designed data transformations in Azure Data Factory. Data flows allow data engineers to develop a graphical data transformation logic without writing code. The resulting data flows are executed as activities within Azure Data Factory pipelines that use scaled-out Apache Spark clusters. Data flow activities can be operationalized using Azure Data Factory scheduling, control flow, and monitoring capabilities.
Mapping data flows provides an entirely visual experience with no coding required. Data flows run on ADF-managed execution clusters for scaled-out data processing. Azure Data Factory manages all the code translation, path optimization, and execution of the data flow jobs.
