Databricks Asset Bundles Demo

Databricks asset bundles make it possible to express complete data, analytics, and ML projects as a collection of source files called a bundle. A bundle’s source files serve as an end-to-end definition of a project. These source files include information about how they are to be tested and deployed. This end-to-end definition makes it simple to apply data engineering best practices such as source control, code review, testing, and CI/CD.

A bundle includes the following parts:

• Source files, such as notebooks and Python files, include the business logic.

• Declarations and settings for Databricks resources, such as Databricks jobs, Delta Live Tables pipelines, Model Serving endpoints, MLflow Experiments, and MLflow registered models.

• Unit tests and integration tests.

• Configurations that define to which workspace or workspaces the bundle is to be deployed.