01-yaml-table-setup

You can create Gold layer tables from YAML schema definitions by using Python scripts within Databricks Asset Bundles. This approach generates CREATE TABLE statements at runtime, using YAML as the single source of truth to eliminate embedded SQL DDL strings in your pipeline code.

Managing schema evolution without embedded SQL DDL is best handled by defining table names, columns with types, nullability, primary keys, and table properties in YAML files. This ensures consistency across domains and allows dynamic table creation through a single script execution.

Yes, you can define primary keys and table properties when generating tables from YAML. The schema definitions support specifying table names, columns with data types and nullability constraints, primary keys, and custom table properties for your Gold layer tables.

Yes, this YAML table creation approach works directly with Databricks Asset Bundles. The Skill uses Python scripts and Databricks Asset Bundles to dynamically create Gold layer tables at runtime from YAML definitions organized by domain.

Yes, you need the pyyaml package installed to dynamically create Gold tables from YAML files. It is the only required dependency for parsing the YAML schema definitions and generating the corresponding CREATE TABLE statements.

You should use YAML schema definitions instead of SQL DDL strings when managing numerous tables with frequent schema evolution, or when ensuring consistency across multiple domains. YAML provides a single source of truth, simplifying schema management for analytics platforms.