databricks-bundles

Databricks bundles use declarative configuration files like databricks.yml to define resources and permissions across dev, staging, and prod targets. You structure your project with resource files and source code directories, then validate, deploy, and run them using Databricks CLI commands.

Databricks bundle configurations support pipelines, dashboards, jobs, alerts, volumes, and apps. Each resource type includes best-practice configurations within the bundle's standardized project layout to streamline multi-environment management.

Yes, the Databricks CLI is required to validate, deploy, run, and clean up bundle resources across dev, staging, and prod workspaces. You also need appropriate workspace profiles configured for each target environment.

Databricks bundles manage permissions by defining them declaratively within bundle configuration files for each target environment. This ensures consistent access controls across dev, staging, and prod workspaces during deployment.

Yes, Databricks bundles are ideal for configuring CI/CD pipelines. They provide standardized CLI commands for validation, deployment, and execution across multi-environment targets, automating the release process for your DAB projects.

To add a dashboard to an existing Databricks bundle, you append the dashboard resource definition to your bundle configuration files following the provided best-practice guidance, then validate and deploy using the Databricks CLI.