What is a dataflow in Fabric?

What is a dataflow in Fabric?

• A. Dataflow is a code-based scripting tool.
• B. Dataflow is a visual/graphical data transformation tool used to ingest, cleanse, transform, and shape data within Fabric pipelines, enabling ETL/ELT without custom code.
• C. Dataflow is a data visualization dashboard.
• D. Dataflow is a storage and indexing service.

Answer: (B)

A dataflow in Fabric is a visual, Graphical data transformation tool used to ingest, cleanse, transform, and shape data within Fabric pipelines, enabling ETL/ELT without custom code. It lets you build data preparation steps with a GUI—pulling data from various sources, cleaning and standardizing it, applying transformations (filters, joins, aggregations, pivots, calculations), and shaping it into ready-to-use datasets. Since you design the steps visually rather than writing code, you can create reusable, self-service data prep pipelines that feed into Fabric datasets or lakehouse tables, schedule them, and reuse them across reports and analyses. This approach lowers the barrier to data preparation and aligns transformations with the data’s lifecycle in the Fabric environment.

A dataflow in Fabric is a visual, Graphical data transformation tool used to ingest, cleanse, transform, and shape data within Fabric pipelines, enabling ETL/ELT without custom code. It lets you build data preparation steps with a GUI—pulling data from various sources, cleaning and standardizing it, applying transformations (filters, joins, aggregations, pivots, calculations), and shaping it into ready-to-use datasets. Since you design the steps visually rather than writing code, you can create reusable, self-service data prep pipelines that feed into Fabric datasets or lakehouse tables, schedule them, and reuse them across reports and analyses. This approach lowers the barrier to data preparation and aligns transformations with the data’s lifecycle in the Fabric environment.