data-governance

You can enforce RBAC and row-level security by generating SQL policy and grant statements that encode least-privilege access constraints. This approach produces configuration artifacts defining ownership and access controls for data producers and consumers.

Automating GDPR-compliant PII masking involves generating privacy handling rules and configuration artifacts that specify how sensitive fields are protected. This ensures data consumers receive masked datasets aligned with privacy obligations.

Creating data contracts involves defining producer-consumer expectations for datasets, including required fields and allowed usage. This generates governance artifacts that encode ownership and least-privilege constraints without interfering with lineage tracing workflows.

Yes, you can implement governance as code by generating versionable configuration and SQL policy statements. This approach encodes access controls and data contracts while explicitly supporting code-driven governance without interfering with dbt documentation or lineage tracing workflows.

Yes, generating SQL grant statements for least-privilege access control is supported. The process produces configuration and policy artifacts that encode ownership constraints, allowing teams to version and review governance rules.

You need data contracts and row-level security when managing datasets requiring enforceable rules for who can access specific data and how sensitive fields are protected. This applies to scenarios demanding compliance-oriented governance between data producers and consumers.