From the Back Cover
A Straightforward, No–Nonsense Guide to Building the Most Accurate,Complete, and Useful Data Models Possible. How do I know if my datamodel is accurate? When is a model really complete? Is it possiblefor a model to be both technically perfect and of no use to anorganization, and what can I do to avoid that problem? This bookprovides answers to these and other crucial data modelingquestions. While there are plenty of books that describe thecharacteristics of finished high–quality data models, only The DataModeling Handbook gets down to the nitty–gritty of actuallybuilding one. Packed with real–world examples, annotated diagrams,and a wealth of rules and best practices, this field–tested guideprovides experienced data modelers, architects, and engineers withhands–on guidance from two noted data management experts.
- The only book offering clear, straightforward rules andguidelines for judging model accuracy and completeness
- Presents all rules in several notations, including IDEF1X,Martin, Chen, and Finkelstein
- Compares and contrasts the most popular modeling styles anddemonstrates how great models can be built using any type ofnotation
- Explains how to use an organization’s plans, policies,objectives, and strategies to build accurate, complete, and usefulmodels
- Offers detailed guidance to establishing a continuous qualityevaluation program that’s easy to implement and follow
- Packed with real–world examples and annotated diagramsillustrating each point covered
- Describes how to use Case tools most effectively to buildhigh–quality models
About the Author
MICHAEL C. REINGRUBER is Technical Leader for the development of the SRA Business Reengineering Methodology. WILLIAM W. GREGORY is Deputy Director of the Business Process Improvement Division of SRA.