ring:pre-dev-data-model

Defining abstract data models before database selection ensures architecture stays consistent across teams. It forces you to resolve entities, ownership boundaries, and relationship cardinalities upfront, preventing technology-specific constraints from dictating your core data structures.

You can define entities and relationships in a technology-agnostic way by applying naming strategies, assigning ownership, and specifying constraints during the data modeling phase. This keeps your structural definitions independent of any specific database technology.

The best way to align abstract data structures with PRD and TRD artifacts is to apply the data model during Gate 5 data modeling. This ensures your entities, attributes, and ownership boundaries are consistent with the defined Feature Map.

You need to assign ownership boundaries and relationship constraints when defining an abstract data model with multiple entities. This occurs during Gate 5 data modeling, ensuring lifecycle rules and cardinalities are established before database selection.

Yes, a technology-agnostic data model guides later database gating decisions by providing a clear structure of entities, ownership, and constraints. This abstract foundation ensures subsequent database choices align with your architectural boundaries.

The limitation of technology-agnostic data modeling is that it intentionally defers database-specific optimization. While it enforces naming, ownership, and relationship constraints, it does not address storage mechanics or query performance tied to a specific database technology.