entity-modelling

Concept classification distinguishes first-class entities from enums by evaluating business ownership and attributes. If a concept requires independent existence and multiple attributes, it is an entity; if it represents a fixed set of values, it is an enumeration.

Inheritance design in data modeling involves creating logical subtype hierarchies based on shared attributes and business rules. This skill guides decisions on whether a concept like 'Customer' should be a standalone entity or a subtype of 'Party' to prevent hierarchy errors.

Entity YAML structure requires defining attributes and constraints precisely to avoid ambiguity in concept realization. This process ensures correct definition of entity attributes, constraints, and enumeration values based on user stories and industry standards.

Entity design tracks existence, mutability, and temporal states based on specific user stories and industry standards. This skill guides these decisions to ensure your data model accurately reflects business requirements and lifecycle changes.

Yes, conceptual data modeling resolves ambiguity by classifying concepts precisely, defining attributes, and establishing inheritance relationships. This skill provides the framework to make correct decisions regarding first-class entities, enums, and relationship attributes.

To classify 'Product' as an entity or an enum, you evaluate its characteristics within your data modeling context. If 'Product' has independent attributes and business ownership, it is an entity; if it is a fixed list, it is an enum.