↓ Skip to main content
EN

EN

FR

Data governance

Governance becomes easier to maintain when business definitions, model metadata and quality rules are reviewed alongside the transformation code.

The dbt documentation and governance article explains this approach through YAML. The source discovery article discusses how LLM assistance fits into documentation, with human review and platform-specific limits.

dbt Documentation: YAML, persist_docs and Governance

dbt Documentation: YAML, persist_docs and Governance

··1392 words·7 mins
Data Engineering Data governance dbt Snowflake Data Governance Data Engineering
In my dbt projects, YAML is where descriptions, tests and ownership live together. I use persist_docs to carry model descriptions into Snowflake, then CI checks to stop the documentation quietly falling behind. The governance part comes from what we build around that metadata. It doesn’t happen because a file happens to be YAML.