Patterns of Data Modeling (Emerging Directions in Database Systems and Applications)

• Provides detailed patterns as a basis for building expert data models
• Emphasizes conceptual aspects and minimizes discussion of implementation
• Highlights alternative patterns and their trade–offs
• Helps developers build models faster with fewer mistakes
• Explains how to take a UML model, prepare a corresponding IDEF1X model, and create SQL code

Description

Best–selling author and database expert with more than 25 years of experience modeling application and enterprise data, Dr. Michael Blaha provides tried and tested data model patterns, to help readers avoid common modeling mistakes and unnecessary frustration on their way to building effective data models. Unlike the typical methodology book, Patterns of Data Modeling provides advanced techniques for those who have mastered the basics.

Recognizing that database representation sets the path for software, determines its flexibility, affects its quality, and influences whether it succeeds or fails, the text focuses on databases rather than programming. It is one of the first books to apply the popular patterns perspective to database systems and data models. It offers practical advice on the core aspects of applications and provides authoritative coverage of mathematical templates, antipatterns, archetypes, identity, canonical models, and relational database design.

About the Author:

Dr. Michael Blaha has authored six U.S. patents, five 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 for 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.