| File Name: | CI/CD in Azure Databricks using Azure DevOps |
| Content Source: | https://www.udemy.com/course/cicd-in-azure-databricks-using-azure-devops/ |
| Genre / Category: | Other Tutorials |
| File Size : | 1.1 GB |
| Publisher: | Mr. K Talks Tech |
| Updated and Published: | January 14, 2026 |
In this course, we begin by exploring the fundamentals of CI/CD (Continuous Integration and Continuous Deployment), focusing on how these practices can be applied to automate the deployment of Azure Databricks notebooks from development to production. We’ll also delve into the merging techniques essential for maintaining a clean and efficient pipeline workflow.
We then transition into the environment setup necessary for building CI/CD pipelines. This section covers the integration of Azure DevOps with the Azure Databricks workspace, setting up branch protection to safeguard your code, and implementing effective merging strategies. Each concept is accompanied by a hands-on demonstration to ensure you can apply these techniques in your own projects.
Next, we dive into the Continuous Integration (CI) process. I’ll guide you through the setup of the CI pipeline, explaining the YAML configuration files in detail, and demonstrating how to automate the validation and integration of your code changes. You’ll learn how to build the CI/CD pipeline from scratch, using YAML files to streamline the entire process.
After establishing the CI pipeline, we shift our focus to Continuous Deployment (CD). Here, you’ll learn how to configure the deployment process to automatically push changes from the development environment to the production Databricks workspace, ensuring a smooth and error-free transition.
Finally, we address the critical aspect of setting up permissions for the production environment. You’ll learn how to manage access controls to protect your production environment and ensure that only authorized changes are deployed. We’ll wrap up the course with a comprehensive end-to-end testing of the entire CI/CD pipeline, ensuring that all components work together seamlessly and that the deployment process is fully reliable.
By the end of this course, you will have a deep understanding of how to build, configure, and manage CI/CD pipelines for Azure Databricks, along with practical skills that you can apply directly to your projects.
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