Rating: 
Summary: Very academic in nature, more theory than reality
Review: Anyone that has been modeling very long will see this book for what it is ... after you look at it once, you'll put it on your bookshelf and leave it there. Save yourself the money ... There are much better reference books available. Try David Hay's book on patterns, or Len Silverston, or Graeme Simsion. Check out the DAMA reference guide .. at least it's built by actual practitioners.The help screens on the Data modeling tools are more advanced in explaining data modeling than this book. Probably great for theorists - managers or teachers that don't know what they are doing! But the real modelers will seek help elsewhere.
Rating:
Summary: Very academic in nature, more theory than reality
Review: Anyone that has been modeling very long will see this book for what it is ... after you look at it once, you'll put it on your bookshelf and leave it there. Save yourself the money ... There are much better reference books available. Try David Hay's book on patterns, or Len Silverston, or Graeme Simsion. Check out the DAMA reference guide .. at least it's built by actual practitioners. The help screens on the Data modeling tools are more advanced in explaining data modeling than this book. Probably great for theorists - managers or teachers that don't know what they are doing! But the real modelers will seek help elsewhere.
Rating: 
Summary: Read the title twice before buying this book..
Review: Don't expect to use this book for anything but producing longdocuments for business meetings. It covers all of the annoyingdatabase design from a business prospective very well, so if you are a consultant this might help you fill up billable hours. But if you want to actually do anything with a database buy another book.
Rating: 
Summary: Excellent book!
Review: I have many books on data modeling but this one is probably the most understandable. The examples are well-formed and many diagrams are provided along with written explanations. They do an excellent job of going through 5th normal form and show how to resolve many different issues such as special cases in generalization hierarchies. I have found this book very useful in practice and it has served me well.
Rating:
Summary: Easy to understand
Review: I have many books on data modeling but this one is probably the most understandable. The examples are well-formed and many diagrams are provided along with written explanations. They do an excellent job of going through 5th normal form and show how to resolve many different issues such as special cases in generalization hierarchies. I have found this book very useful in practice and it has served me well.
Rating:
Summary: Very good one to start a good model
Review: It is a very good book for a Data base designer and a data modeler. I strongly recommand this book to all database people.
Rating:
Summary: Very good one to start a good model
Review: It is a very good book for a Data base designer and a data modeler. I strongly recommand this book to all database people.
Rating:
Summary: The Overnight Architect's Survival Kit. Concise
Review: Now if they extended it to warehousing and corporate information factories...Not much into rambling, the authors take a realistic approach to modeling. Probably a good course book.
Rating:
Summary: Misleading or, if you want, wrong
Review: The authors deny the fifth normal form and state special-case rules as if they were universal. Examples: Eliminate triads; Two entities cannot have more than one relationship. Although in some specific situations the advice might be valid, anyone who is trying to learn from the reading will be misled. Less harmful, even interesting, for a professor (to learn how not to approach the teaching of DB modeling). Poor, underdocumented examples. Oversimplification. Unfortunately at the time I had only the title to choose from. Good thing most books now have a table of contents. Database modeling still doesn't have strong references as database theory does (Date's, Ramakrishnan's, Elmasri's only to cite three). There are excellent theoretical (Thalheim's "Entity-Relationship Modeling" is good) and philosophical approaches (finally they re-published Kent's opera-prima "Data and Reality", fabulous). The picture is poor when it comes to hands-on modeling. Bruce's "Designing Quality Databases..." is an exception. Good and useful for someone who is developing modeling expertise. But I especially don't recommend Reingruber&Gregory's book.
Rating:
Summary: Extremely helpful. Comprehensive + detailed specific advice
Review: The subtitle is both an accurate and concise summary - and typical of the rest of the book. "A best practice approach to build quality data models"
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