Automating Migration of Delta Live Tables Pipelines Across Environments Using Azure DevOps CI/CD

[Kumarn031425]

I am seeking guidance on automating the migration of Delta Live Tables (DLT) pipelines across various environments—specifically from development to testing, and ultimately to production—utilizing Azure DevOps for Continuous Integration and Continuous Deployment (CI/CD).

Current Setup:

• Version Control: Our notebooks and configurations, is stored in Azure Repos.​
• CI/CD Tool: We are using Azure DevOps to manage our CI/CD processes.​
• Databricks Integration: Integration between Azure DevOps and our Databricks workspace has been established.​

Objective:

To establish an automated, reliable, and efficient process for migrating DLT pipelines across environments using Azure DevOps CI/CD pipelines.​

Specific Questions:

1. Best Practices: What are the recommended best practices for automating the migration of DLT pipelines using Azure DevOps CI/CD?​
2. Process Flow: Could you provide a detailed process flow or pipeline structure that facilitates this automation?​
3. Resources: Are there any tutorials, documentation, or community posts that offer step-by-step guidance on implementing this automation?​

I appreciate any insights, experiences, or resources the community can share to assist in achieving this automation.

Thank you in advance for your support.

Best regards,

Kumar

[ashraf1395]

Hi there @Kumarn031425 , 
I guess, This video tutorial will answer most of your questions : https://youtu.be/SZM49lGovTg?si=X7Cwp0Wfqlo1OnuS

Here , deployment of workspace resources using databricks azure devops and databeicks asset bundles tutorial is given which are best recommended tools to handle migration of deployment of objects in databricks.