There is a built-in discrepancy between how businesses conceptualize their business domain, and how this conceptualization gets translated into concrete data models. Modeling data with semantics and relationships resolves this discrepancy by delivering key capabilities to relational databases that logical and physical data modeling can’t deliver, such as defining abstract concepts, business rules, context and …
Why Your Data Model Needs Semantics and Relationships Read More »