18h • Data Governance
Data Governance Implementation Approach for Multi-Database Environment (MongoDB & PostgreSQL)
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)
2
0 comments
Data Governance Implementation Approach for Multi-Database Environment (MongoDB & PostgreSQL)
powered by
skool.com/data-governance-hub-2335
A global community for data professionals and business leaders to learn, share, and grow together around Data Governance best practices.
Suggested communities
Powered by