Getting started with Databricks notebooks — from creation and import/export to building ETL processes.
Notebooks & ETL
Notebooks in Azure Databricks
Azure Databricks Notebooks combine live code in Python, SQL, Scala, or R with visualisations and markdown. Here's how to set them up, attach clusters, manage libraries, and integrate them into ADF/Synapse pipelines.
Import and export notebooks in Databricks
Learn to import/export notebooks in Databricks workspaces manually or programmatically, and transfer content between workspaces efficiently.
Using Databricks Notebooks to run an ETL process
Explore data analysis & ETL with Databricks Notebooks on Azure. Utilize Spark's unified analytics engine for big data & ML, and integrate with ADF pipelines.