Part 9: Databricks Asset Bundle on GCP - Automate CI/CD with GitHub Actions

Welcome to Part 9 of this complete series on building a production-ready real estate data pipeline using Databricks Asset Bundles (DAB) on Google Cloud Platform. This session wraps up your project by introducing full CI/CD automation using GitHub Actions.

You will learn how to build structured workflows that test and deploy your pipeline across both development and production environments. This part walks through configuring secrets, initializing your repository, pushing code, creating pull requests, and monitoring deployments in both workspaces. Everything is designed to ensure smooth, repeatable, and secure automation using GitHub's native tooling.

By the end of this session, you will have a fully operational CI/CD setup that keeps your deployments fast, consistent, and safe.

• GitHub Repository (full project code): https://github.com/ChuquEmeka/Databri...

• Watch the Complete Playlist (all parts):    • End-to-End Real Estate Data Pipeline with ...  

• Prefer to watch the full project in a single video? See the complete walkthrough here:    • End-to-End Real Estate ELT Data Pipeline w...  

Chapters:
00:00:00 CI workflow explained
00:03:17 CD workflow explained
00:05:09 Initialize Git and first commit, rename branch, and create remote repository
00:06:27 Generate Databricks Personal Access Tokens for Dev and Prod and save as GitHub secrets
00:07:30 Push to development branch, create pull request, and monitor testing and deployment to Dev workspace
00:10:20 Merge pull request and deploy to Databricks production workspace