Databricks Data Science & Engineering user guide
This guide provides information about the tools available to you in the Databricks Data Science & Engineering workspace, as well as migration and security guidance.
- Databricks runtimes
- Data Science & Engineering workspace
- Clusters
- Notebooks
- Jobs
- Libraries
- Repos for Git integration
- Requirements
- Configure your Git integration with Databricks
- Enable support for arbitrary files in Databricks Repos
- Clone a remote Git repository
- Work with notebooks in a Databricks repo
- Work with non-notebook files in a Databricks repo
- Work with Python and R modules
- Sync with a remote Git repository
- Control access to Databricks Repos
- Repos API
- Best practices for integrating repos with CI/CD workflows
- Migration tips
- Limitations and FAQ
- Troubleshooting
- Databricks File System (DBFS)
- Migration