By Paulraj Ponniah

This can be a should have e-book info Modeler should want to retain for an extended time.
It discusses each point of the knowledge Modeling discipline.

Does no longer subject what DBMS you employ the data during this publication is priceless.

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Additional resources for Data Modeling Fundamentals: A Practical Guide for IT Professionals

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Further, Chapter 2 is totally dedicated to a discussion of data modeling methods, techniques, and symbols. Logical Data Model. In a sense, the logical data model for an organization is the aggregation of all the parts of the external data model. In the above external data model, three user groups are shown. We assume that there are only three user groups in the organization. Therefore, the complete logical model must represent all the combined information requirements of these three user groups.

The data model has to serve as a blueprint for building the database system. In this case, the database practitioners must be able take the data model, step through the components, one by one, and use the model to design and create the database system. If so, a data model as a representation at a high level of ideas is not good enough as a blueprint. To serve as a blueprint, the data model must include details of the data structures. It should indicate the relationships. It should represent how data is viewed by analysts and programmers.

Figure 1-15 illustrates the design process. Note the different types of data models and how they are related. Also, notice how each part of the design effort rests on the particular data model. Implementation. When the design phase is completed, the data system is ready for implementation. Completion of the physical data model and using it for implementation are responsibilities of the database administrator. He or she defines the data structures, relationships, business rule constraints, storage areas, performance improvement techniques, and completes the physical data model.

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