Governance stack architecture scope
Enterprise governance architecture should unify catalog metadata, glossary standards, lineage, policy workflows, and stewardship operations. Collibra and Alation patterns commonly anchor this layer by connecting technical metadata with business definitions and control obligations across data products and platforms.
Catalog, lineage, and control workflows
A durable governance stack requires ingestion from warehouses, lakehouses, pipelines, and BI tools into one searchable metadata plane. Operating controls include policy attestations, ownership assignment, issue tracking, and trust scoring so governance remains actionable rather than documentary.
Related pathways: Master Data Management Enterprise Stack, Data Integration Hub, Enterprise Technology Services Hub.
Business impact and operating cadence
Governance maturity improves audit readiness, model reliability, and decision trust across finance and operations. Teams should align governance councils, policy owners, and platform engineers under measurable cadences to keep lineage and definition quality current through ongoing change.
Cross-system alignment: modern data and governance stack architecture and cross-system process framework.
Hub pathways
Return to Data Integration taxonomy, continue to Enterprise Technology Services, or review Cybersecurity pathways.