Average Reviews:
(More customer reviews)This is a much awaited real data modeling patterns book - corresponding to the programming pattern book by the so-called Gang of Four. This is a must-read book for all practitioners, intermediate or advanced data modelers, and researchers who work on conceptual modeling or systems analysis & design. The book covers data modeling patterns that we should apply, antipatterns that we should avoid, archetypes that are common modeling structures occurring across different applications, canonical patterns that correspond to meta models of modeling languages & diagrams, and relational database design that maps modeling constructs to relational schema. The book is rich with diagrams that illustrate each patterns and cases. In most cases, the book presents the diagrams in both UML and IDEF1X notations. The book is quite easy to read and rich with useful modeling techniques and tips based on the author's experience. Even with my 25 years of teaching and research activities in data modeling & research, I learned several important ideas. This is an outstanding and unique book in advanced data modeling. I strongly recommend the book for anyone who wants to be an expert in modeling!
Il-Yeol Song, Professor, College of Information Science and Technology, Drexel University, USA
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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.
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