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Data Modeling Essentials
 
 
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Data Modeling Essentials [Paperback]

Graeme C. Simsion (Author)
3.7 out of 5 stars  See all reviews (3 customer reviews)

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Review

"The perfect balance of theory and practice, giving the reader both the foundation and the tools to deliver high-quality data models."
-Karen Lopez, Principal, InfoAdvisors, Inc.

"The complete guide to data modeling for the reflective practitioner. Students like this book and so do I -- it is clear and accessible without sacrificing rigor."
-Professor Graeme Shanks, School of Business Systems, Monash University, Australia

"A unique, practical and comprehensive guide, providing an invaluable resource to anyone involved in data modeling from the novice to the expert data modeler."
-Len Silverston, author of The Data Model Resource Book, Volumes 1 and 2.

"Includes an extraordinary amount of good, useful, and well articulated information about the field."
-David Hay, President, Essential Strategies, Inc. and author of Data Model Patterns --This text refers to an alternate Paperback edition.

Book Description

Written by leading practitioners, this guide to data analysis, design and innovation is a tutorial and reference for systems analysts, business analysts, specialist data modelers, database designers, and students requiring a practical understanding of a project. It includes many practical examples to illustrate choices available to modelers and criteria for selecting the best model. The book explores the difference between modeling business data requirements and designing and maintaining the resulting database, including the impact of universal server and data distribution. A revision of the first successful edition published by Coriolis in 1994, this book contains numerous updates and additional chapters to illustrate real world data modeling for commercial information systems.
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First Sentence
This book is about one of the most critical stages in the development of a computerized information system-the design of the data structures and the documentation of that design in a set of data models. Read the first page
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Front Cover | Copyright | Table of Contents | Excerpt | Index
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3.7 out of 5 stars (3 customer reviews)
 
 
 
 
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1 of 1 people found the following review helpful
4.0 out of 5 stars Learn to design tight databases., Oct 8 2001
By 
Eric D. Napier (Brandon, MS United States) - See all my reviews
(REAL NAME)   
This review is from: Data Modeling Essentials (Paperback)
Good job of stressing the importance of data modeling. Good discussion of normalization. Good discussion of ER diagrams. Discussion of advanced data modeling problems could be better. I would have liked to seen more discussion of data modeling methodology.

If you want to learn to build bullet proof databases, this is a good start.

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1 of 1 people found the following review helpful
4.0 out of 5 stars Excellent non-standard performance helper!, Aug 16 2001
By 
Paul I Watkins (Mebane, NC United States) - See all my reviews
This review is from: Data Modeling Essentials (Paperback)
As an combo Oracle DBA, database designer and PL/SQL developer I have found this book to be especially valuable over many others in the area of performance tuning. It's clear and not cluttered up like official Oracle documentation, yet mines out some real jewels from a deeper than usual understanding of the Oracle engine. It's not comprehensive or systematic; the author tends to jump around covering the areas of his own expertise. This actually makes the book MORE useful. Excellent treatment of partitioning.

This is not another book that simply regurgitates Oracle documentation!

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0 of 4 people found the following review helpful
3.0 out of 5 stars Good Book with Good Contents, Feb 13 2001
By A Customer
This review is from: Data Modeling Essentials (Paperback)
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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