conceptual data model

Conceptual data models, sometimes called domain models, are an abstract representation typically used to explore domain entity types and the relationships between them. For example, a conceptual/domain model for a karate studio would include domain entity types such as Student, Belt, Grading, and Tournament.

Methodology Issues

1. Conceptual data models are often created as the precursor to logical data models or as alternatives to them. 2. Keep your conceptual models as simple as possible. 3. You can apply a wide variety of notations when data modeling. 4. It is possible to use the UML to data model. In fact "conceptual model" or "domain model" are more appropriate names than "conceptual data model" because they don't bias you towards just using a data-oriented notation. 5. You can and should consider sketching domain models on whiteboards. 6. Stakeholders should be active participants in modeling. This is possible if you chose to adopt inclusive modeling techniques.

Links

Data Modeling 101 Agile Data Modeling Agile Models Distilled Agile Data Home Page Agile Modeling Home Page Agile Database Techniques

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