DATABASE FUNDAMENTALS
DATABASE CONCEPTS AND STRUCTURES
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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*Implementation (representational) data models
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*Physical (low-level, internal) data models
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*Conceptual (high-level, semantic) data models
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*Self-Describing Data Models
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Detailed explanation-1: -High-level conceptual data models provide concepts for presenting data in ways that are close to the way people perceive data. A typical example is the entity relationship model, which uses main concepts like entities, attributes and relationships.
Detailed explanation-2: -Semantic data is data that has been structured to add meaning to the data. This is done by creating data relationships between the data entities to give truth to the data and the needed importance for data consumption. Semantic data helps with the maintenance of the data consistency relationship between the data.
Detailed explanation-3: -A method of organizing data that reflects the basic meaning of data items and the relationships among them. This organization makes it easier to develop application programs and to maintain the consistency of data when it is updated.
Detailed explanation-4: -The conceptual data model is a structured business view of the data required to support business processes, record business events, and track related performance measures. This model focuses on identifying the data used in the business but not its processing flow or physical characteristics.