06-table-documentation

Standardize Gold layer table documentation by enforcing consistent naming conventions, dual-purpose column descriptions, and essential metadata. This ensures business analysts understand column meanings while data engineers and AI systems grasp technical implementation details.

Required data governance metadata for Gold layer tables includes specific table property definitions, surrogate key usage, and structured YAML schema consultation. These metadata elements facilitate AI understanding and enforce standardized documentation formats.

Write dual-purpose column descriptions for data modeling by combining business context with technical implementation details. This structured documentation format ensures columns are comprehensible to both business users querying data and engineers maintaining pipelines.

Yes, YAML schema consultation is required to establish comprehensive documentation standards for Gold layer tables. Adhering to the YAML schema ensures table properties, naming conventions, and surrogate keys meet structured metadata requirements.

Enforce naming conventions on Gold layer tables when creating new dimensional models like dim_customer. Consistent naming standards ensure tables are immediately understandable for business users, data engineers, and AI systems consuming the data.

The best way to document surrogate keys in Gold layer dimensional tables is by defining them within required table properties and dual-purpose column descriptions. This structured approach ensures keys meet governance metadata standards and technical implementation requirements.