Patterns of Data Modeling

Auteur
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.

Résumé
Offers tried and tested data model patterns, to help readers avoid common modeling mistakes in building effective data models. This book provides advanced techniques for those who have mastered the basics. It focuses on databases rather than programming. It applies the patterns perspective to database systems and data models.

Contenu
Introduction. Mathematical Templates. Antipatterns. Archetypes. Identity. Canonical Models. Relational Database Design. Appendices.