What you'll learn:
- Understand the fundamentals of Continuous Integration and Continuous Deployment, and how these processes can be used to streamline the deployment of Databricks
- Learn the necessary steps for setting up development and production environments in Azure, including integrating Azure DevOps with Azure Databricks.
- Gain insights into branch protection strategies and various merging techniques, ensuring safe and efficient collaboration within your team.
- Discover how to set up Continuous Integration pipelines, including the configuration and coding of YAML files to automate the build process.
- Implement the CI pipeline from start to finish, ensuring that your Azure Databricks notebooks are properly validated and integrated before deployment.
- Explore the steps involved in configuring the Continuous Deployment pipeline, automating the deployment of changes from the dev environment to prod environment.
- Learn how to configure and manage permissions in the production environment to ensure that deployments are secure and compliant with organizational policies.
- Conduct thorough end-to-end testing of the entire CI/CD pipeline, ensuring that all components work seamlessly together before going live.
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.
