Average Reviews:
(More customer reviews)I've used semantic data modeling as independent consultant and employee over the years, and I love it. The Xplain data definition and manipulation language is just great to create consistent data models. This book is an excellent introduction to that language. In my experience Xplain diagrams are far easier to understand that ER diagrams. Handy if you come in new to a project and need to understand the database: just draw an Xplain diagram. With an Xplain diagram most of the time I can also immediately offer suggestions for improvement.
Another advantage is that semantic modeling recognizes only inheritance and aggregation, so it fits well in an OO approach to software development.
So if you do a lot of data modeling and data base design I suggest you get hold of a copy. Your data models will improve, guaranteed!
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This is an introduction to semantic data modelling which discusses the basis and consequences of semantic data modelling principles. Semantic data modelling is explained by referring to a large number of practical cases, demonstrating how practical use can be made of the advantages of semantic principles in both relational and network environments. Divided into four parts (overview, fundamentals, design, case studies), the text contains an overview of seven different semantic approaches, emphasizes practising data modelling concepts applied to simple cases, and features applications of modern data modelling techniques.
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