Given the current state where application data is distributed across MongoDB (NoSQL/document store) and PostgreSQL (relational/SQL), we recommend a federated data governance model that respects each database's strengths while establishing unified governance controls. This approach balances centralized policy with decentralized implementation. 2. Guiding Principles Database-Agnostic Policies: Define governance requirements independent of underlying technology Proportional Controls: Implement controls based on data sensitivity, not database type Unified Metadata Layer: Single source of truth for data lineage, classification, and ownership Minimal Application Impact: Governance implementation should not require major application rewrites 3. Proposed Governance Framework 3.1 Organizational Structure Data Governance Council (Strategic) ↓ Data Stewards (Business Domain Owners) ↓ Database Custodians (Technical Implementation) ↓ Data Consumers (Application Teams)

"The Great Data Rebellion: Why Engineers Secretly Hate Your Governance Tools"

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This guide presents the Data Ownership RACI matrix as a framework to resolve data confusion and improve governance by explicitly defining Responsible, Accountable, Consulted, and Informed roles for data management tasks.

What's your organization's biggest data governance headache?