Hi @Balazs, Hello! Databricks Asset Bundles are indeed a powerful feature that allows you to express complete data, analytics, and ML projects as a collection of source files. These bundles serve as an end-to-end definition of your project, including information on how they s....
Let’s dive into your questions:
Lakeview Dashboards vs. Old Dashboards: As of now, the information available doesn’t specify whether this feature will be exclusive to the new Lakeview dashboards or extend to the older dashboard type. However, I recommend monitoring official announcements and release notes for any updates on this front.
Programmatic Manipulation and Deployment: Asset Bundles allow you to describe your project’s infrastructure and resources using a YAML configuration file. This means you can programmatically define how your dashboards are set up, making deployment across workspaces (environments) more straightforward. You can specify different catalogs as data sources based on your environment requirements.
Environment-Specific Catalogs: Your use case aligns well with the flexibility Asset Bundles offer. By configuring the bundle to reference different catalogs for dev, QA, and prod environments, you can ensure consistent repeatability during deployments. This approach streamlines your workflow and promotes efficient development cycles.
Remember, Databricks Asset Bundles provide best-practice tools and processes for working with source code, including source control, code review, testing, and CI/CD. Keep an eye on official updates, and happy bundling! 🚀📦
