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Patterns of Data Modeling


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This guide for professionals and graduate students presents data modeling patterns and advanced techniques in building database systems and data models. Part I presents mathematical templates of abstract data structures and includes UML and IDEF1X diagrams for each, showing queries, sample data, and examples of using the template. The next three sections cover antipatterns, archetypes, and conceptual aspects of the identity of entities. Part V discusses canonical models, and Part VI covers relational database design, with instructions on how to make a UML model and a corresponding IDEF1X model and how to create SQL code. Reference features include appendices on UML and IDEF1X notation and a six-page glossary. The inside covers of the book include schematic diagrams summarizing mathematical templates. The book is targeted at application and enterprise architects, data modelers, database administrators, and programmers. It is also suitable for use in special topics courses for graduate students and for commercial data modeling courses. Blaha is a database consultant and trainer. Annotation 穢2010 Book News, Inc., Portland, OR (booknews.com)
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Patterns of Data Modeling

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