Templates for Data Factory in Microsoft Fabric

Templates are pre-defined pipelines that allow you to get started quickly with Data Factory. These templates help to reduce development time by providing an easy way to create pipelines for common data integration scenarios.

Screenshot showing the templates browser in [!INCLUDE [product-name](../includes/product-name.md)].

How to build a pipeline from a template

  1. To get started with a template, start by selecting New and then Data pipeline.

    Screenshot showing the new data pipeline button.

  2. Set a name for your new pipeline and select Create. The pipeline editor window opens.

  3. Select Choose a task to start.

    Screenshot showing the pipeline editor window with the Choose a task to start button highlighted.

  4. The template browser appears. Select the Copy data from ADLS Gen2 to Lakehouse Table template, and then select Next.

    Screenshot showing the templates browser and the Copy data from ADLS Gen2 to Lakehouse Table template selected.

  5. Select from the drop-down list your source and destination connections or use + New to create a new connection.

    Screenshot showing the template source and destination connections configuration and the New button to create a new connection.

  6. After making your selections or creating new connections, select the Use this template button to generate a new pipeline directly.

  7. The pipeline is created using the connections you set. You can view the newly created pipeline in the pipeline editor, where you can use the Run and Schedule buttons to control its execution.

    Screenshot showing the pipeline editor with the Run and Schedule buttons highlighted in the toolbar of the Home tab.

  8. Initially the new Copy activity is highlighted on the editor canvas, and its properties shown in the properties pane at the bottom of the editor.

  9. When you select the background of the pipeline canvas, you can see the general pipeline properties in the properties pane, where you can add or edit existing parameters.

    Screenshot showing the pipeline properties with the Parameters tab selected and several parameters added.

  10. When you're done, save your edits by selecting the save button on the toolbar of the Home tab.

    Screenshot of the Home tab of the pipeline editor with the Save button selected.

  11. Now you can run your pipeline, providing values for any parameters as required.

    Screenshot showing the Pipeline run dialog with parameters specified.