According to DAMAâDMBOK2 (see especially the discussion in Chapter 4 on Data Architecture and the sections on Enterprise Data Models around p.âŻ106), an Enterprise Data Model typically breaks the organizationâs data into topâlevel groups (subject areas), defines conceptualâlevel entities for each subject area, and often includes at least some logicalâlevel detail. A full physical design is usually not part of the highâlevel EDM.
Hence, among the options given, the correct match with DMBOK2 is:
C) Conceptual models, subject area models, and logical models.
An Enterprise Data Model (EDM) is a high-level representation of an organizationâs data, typically consisting of three levels of abstraction:
Conceptual Model â Defines high-level entities and relationships without technical details.
Logical Model â Provides detailed structure, including attributes, keys, and relationships, independent of technology.
Physical Model â Implements the logical model with database-specific structures, such as tables, indexes, and constraints.
B. Conceptual models, star schema models, and interface models â Incorrect, as star schema models are specific to data warehousing.
C. Conceptual models, subject area models, and logical models â Incorrect, as subject area models are a subset of conceptual models.
D. Logical models, physical models, and infrastructure models â Incorrect, as infrastructure models focus on hardware and network architecture.
E. Enterprise models, data models, and compositional models â Incorrect, as enterprise models and compositional models are not standard data model categories.
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