Run Azure Databricks Notebooks with Azure Data Factory
Using pipelines in Azure Data Factory to run notebooks in Azure Databricks enables you to automate data engineering processes at cloud scale.
Data Engineer
Data Factory
Databricks
Module 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.
Units
Prerequisites
Before starting this module, you should have a basic knowledge of Azure Databricks. Consider completing the Explore Azure Databricks module before this one.