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Printed March 2003
Identifying and Implementing Patterns
in Data Models
Shelley M. Eaton
Software and Information Engineering Department
Gregory N. Conrad
Advanced Decision Support Applications Department
Sandia National Laboratories
P.O. Box 5800
Albuquerque, NM 87185-1137
This report describes a methodology to recognize data patterns, create generalized data models, and
implement the resulting relational database structures. The processes that allow the data model patterns to
emerge are described in detail so that a data modeler or designer can create a generalized data model,
beginning with the validated and verified literal data model from the customer's point of view. In
addition, this report discusses the value of generalization and effective methods to employ for
implementing generalized data models, showing that generalization is a powerful method to handle
changing or unknown requirements. Although requiring an investment for transitioning understanding to
the developers and additional code to implement the database structure, a generalized data model can
provide the optimal solution for the software product's data structure in its initial phases and perhaps its
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EATON, SHELLEY M. & CONRAD, GREGORY N. Identifying and Implementing Patterns in Data Models, report, March 1, 2003; Albuquerque, New Mexico. (digital.library.unt.edu/ark:/67531/metadc738103/m1/3/: accessed November 21, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.