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Data models are progressive; there is no such thing as the final data model for a business or application.

Data modeling techniques and methodologies are used to model data in a standard, consistent, predictable manner in order to manage it as a resource.

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The conceptual model is then translated into a logical data model, which documents structures of the data that can be implemented in databases.Implementation of one conceptual data model may require multiple logical data models.There are three different types of data models produced while progressing from requirements to the actual database to be used for the information system.The data requirements are initially recorded as a conceptual data model which is essentially a set of technology independent specifications about the data and is used to discuss initial requirements with the business stakeholders.

The data model will normally consist of entity types, attributes, relationships, integrity rules, and the definitions of those objects.This is then used as the start point for interface or database design.

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