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Présentation Patterns Of Data Modeling de Blaha, Michael Format Broché
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Résumé :
Helping readers avoid common mistakes and build better models, this is one of the first books to apply the popular patterns perspective to database systems and the data models that are used to design state-of-the-art, efficient database systems. Best-selling author and database expert Dr. Michael Blaha provides detailed data model patterns as a basis for expertly building data models. Since most commercial software is built around a database, he focuses on databases rather than programming. He emphasizes how database representation sets the path for the software, determines its flexibility, affects its quality, and influences whether the software succeeds or fails....
Biographie: Serving as program and conference chair at the Working Conference on Reverse Engineering, Dr. Michael Blaha has authored six U.S. patents, four widely used books, and many papers while giving lectures throughout the world. Since 1994 Dr. Blaha has been a consultant and trainer in conceiving, architecting, modeling, designing, and tuning databases. He has worked with dozens of organizations throughout the world. He received his doctorate from Washington University in St. Louis and is an alumnus of GE Global Research in Schenectady, NY.
Sommaire: Introduction. Mathematical Templates. Antipatterns. Archetypes. Identity. Canonical Models. Relational Database Design. Appendices.
Patterns of Data Modeling should be on the shelf of every database, software, and systems architect. The book captures decades of experience, presenting distilled knowledge in a concise and easy-to-understand format. The breadth of coverage is enormous, ranging from basic data structures through star schema, archetypes for representing commonly found concepts, and canonical models for tough problems. -Paul C. Brown, Principal Software Architect, TIBCO Software Inc. Mike Blaha has written a clear book with precise definitions and excellent examples. All examples are presented in a graphical form that is easy to read and understand. Blaha assumes the reader has a basic understanding of data modeling, but gives his examples in such a way that if the reader needs some review, it is built in. -Toby Teorey, author of Database Modeling and Design, Fourth Edition Also endorsed by the Sparx Systems Enterprise Architect Community
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