Databricks Asset Bundles for Data DevOps

Managing data workflows through manual clicks often leads to inconsistencies and deployment errors. Transitioning to a Project as Code model allows you to automate your workspace and ensure every release is predictable and repeatable. This course provides a clear path to mastering Databricks Asset Bundles, enabling you to bundle notebooks, jobs, and infrastructure into a single, versioned package. You will gain the skills to move from local development to fully automated delivery pipelines, ensuring your data engineering projects meet production-grade standards. Through written explanations and code examples, you will learn how to unify your development lifecycle. What you'll learn: - Understand the core principles of the project-as-code framework and the bundle lifecycle. - Define and manage workspace configurations using the standardized YAML configuration. - Apply modern testing practices with pytest to ensure code quality before deployment. - Configure multi-stage environments to separate development, staging, and production workflows. - Automate validation and deployment using GitHub Actions and integrated CI/CD tools. - Manage Delta Live Tables and complex job dependencies through structured bundles. The course begins with essential terminology and environment setup before progressing to bundle configuration and automation. You will explore how to handle real-world scenarios, including ETL pipelines and streaming tasks, all through a code-centric approach. This course is designed for beginners looking to adopt DevOps practices in data engineering; no prior experience with asset bundles is necessary. Start reading to build more reliable and automated data pipelines.