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