Benefits of Data Modeling in ERwin

Benefits of Data Modeling in ERwin

Regardless of the type of DBMS you use or the types of data models you want to develop, modeling your database in ERwin has many benefits. The most obvious benefit is system documentation that can be used by database and application development staff to define system requirements and to communicate among themselves and with end-users.

A second benefit is to provide a clear picture of referential integrity constraints. Maintaining referential integrity is essential in the relational model where relationships are encoded implicitly.

A third benefit is the provision of a “logical” RDBMS-independent picture of your database that can be used by automated tools to generate RDBMS-specific information. This way, you can use a single ERwin diagram to generate DB2 table schemas, as well as schemas for other relational DBMSs.

One of the primary benefits of data modeling with ERwin is the ease with which you will be able to produce a diagram summarizing the results of your data modeling efforts and generate a database schema from that model.

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Chapter

3 Constructing a Logical Model

The first step in constructing a logical model is developing the Entity Relationship Diagram (ERD), a high-level data model of a wide business area. An entity-relationship diagram is made up of three main building blocks: entities, attributes, and relationships. If you view a diagram as a graphical language for expressing statements about your business, entities are the nouns, attributes are the adjectives or modifiers, and relationships are the verbs. Building a data model with ERwin is simply a matter of finding the right collection of nouns, verbs, and adjectives and putting them all together.

The objective of the ERD is to provide a broad view of business information requirements sufficient to plan for development of the business information system. These models are not very detailed (only major entities are included) and there is not much detail, if any, on attributes. Many-to-many (non-specific) relationships are allowed and keys are generally not included. This is primarily a presentation or discussion model.

An ERD may be divided into subject areas, which are used to define “business views” or specific areas of interest to individual business functions. Subject areas help reduce larger models into smaller, more manageable subsets of entities that can be more easily defined and maintained.

There are many methods available for developing the ERD. These range from formal modeling sessions (described in the previous chapter) to individual interviews with business managers who have responsibility for wide areas.

This chapter introduces the data modeling method used by ERwin and provides a brief overview of its richness and power for describing the information structures of your business.

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