Modeling
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If really interested in SEM, do not buy this book.
great book for those who find McArdle/Loehlin tough reading
Whatta book!Buy it!

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better than nothingMichael Joy
chicagomoldschool.com
A Great Guide
Answered all my questions!
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confusing and contrived
Well-written, concise, easy-to-understand
Great Book
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Except for Nikki Taylor, who's heard of anybody in this book
LOTS OF USEFUL INFORMATION HERE!!!
Read This Book!
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Runway, Runway, Runway
Model & Talent 2001Thank You
Your Modeling Career
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poor, poor, very poor
very interesting approach- straight forward but professionala must have book
Good and sound book
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Et tu, Naomi?
Why is Naomi so really beautiful?
excellent
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It is called a writing class and the author missed it.
Ambitious, but ultimately disappointing
Compelling, comprehensive and enlightening
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A useful primer for ERwin
Needs more Tips and Techniques"Data Modeling with Erwin" is a hybrid between a data modeling text and one of those "MS-Word for Dummies" books which shows all the dialog boxes in an application and explains what they mean. It does a fine job in both explaining data modeling as well as walking through the Erwin's features.
That said, I was hoping for much more "real world" tips and techniques from this book, i.e. more practice to supplement the theory. Specifically, I would have been interested in best practices for use of "subject areas," and "stored displays." Is there a defacto standard on these things? Also, I would have been interested in some simple guidelines for keeping your model (i.e. the main subject area) "clean looking" when your application has 100+ tables and more relationships. Another example: the "Reverse Engineering" section could use some guidelines on importing a model from a database (e.g Oracle) into Erwin for subsequent development. Things you should do, avoid, etc.
Again, this book might be helpful in the long run. I don't know how it measures up with the Erwin documentation. For me, however, I'll need to pick the hive-mind of the newsgroups for more "real world" advice.
p.s. This book also has one too many references such as "Claude Frankenstein, in his book *IE for a New Tomorrow* defines an entity as..." It gets a bit old after a while.
p.p.s This book lacks a 'lay-flat' binding, so it's hard to read on your desktop while you're eating lunch.
A good introduction to Logical Data Modelling *and* ERwin.The work's introduction does a clear job of defining the target audience: "_Data Modeling with ERwin_ is intended for use by novice modelers who are interested in producing quality logical and physical data models using ERwin."
...and it does a good job on the logical side, along with providing a good walkthough of ERwin, specificly ERwin version 3.5.x. Concepts presented are what I would call generaly accepted practices - many organizations follow them with successful results. There are plenty of screenshots of ERwin, as well as data model examples...and it *doesn't* use the common video store sample data model.
Part I, Modeling Concepts, includes a high-level overview of a systems development methdology, albeit of the waterfall approach that is not as popular today. It also covers normalization, a topic that I believe is premature at this point of the work. This overview draws heavily on works by Chen, Finkelstein, and Date.
This text includes Best Practices, Tips, and basic functionality of ERwin. It does not address any workarounds for known problems, which I find to be its greatest weakness. However, if you are new to ERwin the Best Practices, Tips, and Cautions will be a valuable and timesaving resource.
This book is primarily a Logical Data Modelling resource, but it does cover Physical Data Modelling from the ERwin point of view. Only 89 of the 384 pages of the work are devoted to Physical Modelling.
If you are new to data modelling as well as ERwin, you will need additional resources on data modelling to support your new skillset. If you are looking for a resource for managing physical data models and databases, you'll have to rely on ERwin documentation and resources such as the ERwin Users Discussion Group.
If you are an experienced data modeller or ERwin user, this book might not add value to your reading....but it would be great to have around as a resource for others: developers working to understand modelling, DBAs who are looking to understand logical data modelling, and project managers wanting to understand why this modelling stuff is taking so long....[g].

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This book is not very good.
A Good TextThere are plenty of examples in the text. However, the exercises tend to be significantly more complex than the examples. The answers to many exercises are in the back of the book, which is a great help to students.
Excellent book!