dbt model governance covers access, contracts, versions, and mesh refs

The extract defines model governance as control over access, contents, change over time, and cross-project references in dbt v1 and the dbt platform, with plan-specific differences. It lists model access (public vs private), contracts that guarantee column names, types, and constraints before build, versions for smoother breaking-change upgrades, namespaces for ownership, and project dependencies that resolve public models via a metadata service instead of importing whole packages.

For multi-team data organizations, the claim is that these features turn mature models into data products while hiding implementation details, enabling collaboration through Catalog and cross-project ref on Enterprise plans. Freshness governance via State and lag_tolerance is noted for aligning to SLAs without unnecessary rebuilds.

Governed shared meaning appears as explicit interfaces: shape contracts, visibility boundaries, and versioned upgrade paths so downstream systems can depend on stable definitions. The extract also warns that early adoption can complicate change, so readiness of the project matters.