Data Modeling Design

Data Modeling Fundamentals: A Practical Guide for IT by Paulraj Ponniah

By Paulraj Ponniah

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

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

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Extra info for Data Modeling Fundamentals: A Practical Guide for IT Professionals

Sample text

Two overall actions need to be performed. First, you have to describe the database system to the users and obtain their confirmation. Then you have to create the database system to provide the necessary information. The depiction of information requirements as shown in the figure falls short of these expectations. Let us try to improve the situation a bit. Let us try to depict the information requirements in slightly better and more standard manner. See Figure 1-3, where the depiction is somewhat clearer.

We will take a simple specific example. Let us consider the information requirements for an insurance company. Each of the user groups performs specific business processes. While performing business processes, each user group either uses relevant stored data or creates and stores data for later use. In either case, each user group is interested in a set of data elements. FIGURE 1-17 User groups and user views of data system. 34 CHAPTER 1 DATA MODELING: AN OVERVIEW FIGURE 1-18 Insurance company: external and conceptual data models.

At this stage, the data model is used to examine the various data elements that can be safely deleted after specified periods. Archiving Historical Data. However, some data elements may still be useful even long after any activity on those data elements had ceased. Data relating to customer purchases can be useful to forecast future trends. Historical data is useful in the organization’s data warehouse. Any such useful data elements are removed from the current database and archived into a separate historical repository.

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