Implementing CI/CD

It tracks past versions of a notebook so you can view and restore earlier states even without Git.

Jobs and pipelines are created manually in the UI in each workspace. This is hard to reproduce, prone to configuration drift between dev/staging/prod, and not easily version-controlled.

Version control of pipeline definitions, repeatable deploys across dev/staging/prod, and easy CI/CD integration so the same config promotes through environments.

Bundles use declarative YAML configuration checked into source control, rather than imperative clicking through the UI.

The Databricks CLI — it validates, deploys, runs, and destroys bundles via commands like databricks bundle deploy.

Bundles are a Databricks-native, higher-level infrastructure-as-code approach. Terraform and the REST API are lower-level/general alternatives; bundles are purpose-built for packaging Databricks projects.