Data Modelling Handbook: A Best Practice Approach to Building Quality Data Models - Couverture souple
Synopsis
This text shows database developers how to build high quality data models, which form the centre of application development. It provides the answers to the tough questions they face, such as: Is my data model accurate? Is it complete? How can I make my model technically perfect and be most useful to my organisation? This volume offers rules and guidelines for judging model accuracy and completeness. It is particularly needed because object-oriented methods have transformed the practice of data modelling necessitating changes and enhancements. Accordingly, the author has revamped and improved his data modelling rules and techniques that reflect the hands-on experience he has gained since the publication of the first edition in 1994. This book now includes new sections on: new object modelling techniques; new data modelling methods and how they relate the notation of data models; the presentation of data models; data modelling metrics; and converting data models into object models.
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