Patterns of Data Modeling

1. Auflage 2010
ISBN: 978-1-4398-1989-0
Verlag: CRC Press

Buch, Englisch, 266 Seiten, Format (B × H): 154 mm x 231 mm, Gewicht: 388 g

Reihe: Emerging Directions in Database Systems and Applications

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.

Zielgruppe

Professional Practice & Development

Autoren/Hrsg.

Blaha, Michael

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining

Inhaltsverzeichnis

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

Über Autor(innen)

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.