mh-cto-sdlc-data-arch

To design data architecture, you translate domain models into persistence realities by defining data ownership, mapping data flow, and drafting entity schema constraints. This ensures data integrity and aligns persistence strategy with system requirements.

The best way to document data architecture decisions is by generating Architecture Decision Records (ADRs) for critical data choices. This captures persistence strategies and schema designs for future reference, reducing production change risks.

Map data flow and persistence strategy by analyzing system decomposition and architecture drivers to visualize read/write flows. You then decide on primary persistence types, caching layers, and soft or hard delete policies.

Yes, the data architecture process produces schema sketches that define entities, relationships, and constraints. It translates domain models directly into these persistence realities to ensure structural data integrity.

You need to define a formal persistence strategy and data ownership model when designing complex systems with critical data flow requirements. Establishing this early ensures robust data architecture and prevents costly production changes.