Run Azure Databricks Notebooks with Azure Data Factory

Data Engineer
Azure Data Factory
Azure Databricks

Using pipelines in Azure Data Factory to run notebooks in Azure Databricks enables you to automate data engineering processes at cloud scale.

Learning objectives

In this module, you'll learn how to:

  • Describe how Azure Databricks notebooks can be run in a pipeline.
  • Create an Azure Data Factory linked service for Azure Databricks.
  • Use a Notebook activity in a pipeline.
  • Pass parameters to a notebook.


Before starting this module, you should have a basic knowledge of Azure Databricks. Consider completing the previous modules in the Data Engineering with Azure Databricks learning path before this one.