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In the simplest terms, a logical data model is a visual representation of the business rules and requirements covering the universe-of-discourse for a given solution or enterprise, along with some ...
Occasionally one may hear that a data model is “over-normalized,” but just what does that mean? Normalization is intended to analyze the functional dependencies across a set of data. The goal is to ...
Getting business and IT on the same page during a project is key to an initiative's success -- and utilizing data models can help do just that. In this chapter from Data Modeling for the Business: A ...
AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...
Why should I take the time to develop a conceptual data model? We're already developing logical data models. A conceptual data model, usually in the form of an entity relationship diagram, is ...
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