Rating: 
Summary: Good coverage of the topic in an easy to read style.
Review: I must have read at least a dozen books on data modeling and database design in the past few years, and this one sits right near the top for ease of understanding and presentation. The author goes through the material in a logical manner, and writes in a clear way that many other authors on this topic can't even come close to. I'd recommend this book especially to those new to the field, but there is still useful material for those who have been working/dabbling here for some time.
Rating: 
Summary: Pick the mind of a real database designer
Review: I read this book casually at first, thinking that it would merely confirm what I knew, since I was finishing up a database certification program. So when it pushed me to think harder, I put it away. HOWEVER, I recently returned to the book after some experience with Paradox for DOS, and I now see the light. It took real work to get through the first two chapters--about three hours for me--but I am glad that I have revisited this book and can tell everyone to (1) get it if they are serious about database design and (2) finish the lessons, even if they seem difficult or if they don't serve up simple rules right away. Simsion makes you really think about data organization, something usually left by the side of the road in the rush to put up a system. At least with this book your database will have the best possible foundation.
Rating:
Summary: Essential reading for database developers
Review: I'm going to ask everyone in my company who develops databases to take a week off work and study this book.
Rating:
Summary: Essentially the best reference for data modelling
Review: The most valuable book I own about data modelling.
Covers all the basics one needs to know if they are going to talk about data modelling and what it really means and what is involved. And if you are expected to actually do the data modelling, even better, it provides coverage on all the things you should include, or at least consider, as well as some insights on how you are going to show the value and importance of being able to model your data.
Even a seasoned modeller like myself wants to refer to a solid piece of reference material to ensure I'm doing the right thing and that I'm not forgetting anything.
I was very happy to see a section on Conceptual Data Modelling as I find myself spending more time in this space getting the business to recognise that 'they' own this model, and they should identify and define all their business attributes here. That way when the database, or data interface, needs to be built the logical model can be created using these conceptual models as a reference point... should be less argument on what that column in the database really means!
So many more highlights... but maybe I'm just a fanatic about data... it's my coffee table book.
Thanks Graeme and Graham.
Rating:
Summary: Concepts
Review: This book is good for the begineer
Rating:
Summary: Creative Thinking on Data Modelling
Review: This book presents a new perspective on data modelling. It focuses on the ideas on innovation, creativity and choice in the data modelling process and provides many useful practical examples. It should be read by all serious data modellers who need to be one step ahead of the usual prescriptive approach to data modelling.
Rating: 
Summary: Good Book with Good Contents
Review: This is my first book for the data modeling.1. This book has the wonderful format as it has no much concept reading. Most are dealing directly with how to do and why. 2. This has wonderful example, although it is simple. 3. It does not give me much experienced info about the denormalization.
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