Databricks CI CD with GitHub Actions

Automate Databricks CI/CD with GitHub Actions | Dev to Prod Deployments Demo Are you ready to modernize your Databricks deployments? In this step-by-step tutorial, learn how to streamline your ETL and analytics workflows by setting up CI/CD for Databricks using GitHub Actions. I’ll show you how to connect your GitHub repository to Databricks, set up secure authentication with personal access tokens (PATs), and configure workspace secrets for both dev and prod environments. We’ll cover creating and linking folders in your workspaces, managing repository integrations, and automating deployments using a custom YAML workflow. Watch as we walk through: Linking GitHub Repos to Dev and Prod Databricks workspaces Setting up GitHub Secrets and workspace tokens for secure deployments Writing and explaining the YAML workflow file for automated promotion from dev to prod Creating feature branches and pull requests to test the full CI/CD pipeline Observing successful deployments and verifying promoted changes in both environments Whether you’re a data engineer, architect, or DevOps professional, you’ll learn practical skills to make releases more reliable, faster, and auditable in Databricks. Disclaimer: The YAML code used in this demonstration video is a rudimentary example showcasing the CI/CD capabilities of Databricks with GitHub Actions. This code is not proprietary and may resemble or be similar to code generated by AI code assistants or used by other creators covering similar topics. The purpose of this video is purely educational and demonstrative. There are likely other videos and sources with comparable content, as CI/CD practices and YAML configurations in Databricks are commonly shared and publicly available. This video does not claim ownership over any unique or proprietary code patterns shown.