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Data Modeling Essentials : The Morgan Kaufmann Series in Data Management Systems - Graeme Simsion

Data Modeling Essentials

The Morgan Kaufmann Series in Data Management Systems

Paperback Published: 18th November 2004
ISBN: 9780126445510
Number Of Pages: 560

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"Data Modeling Essentials, Third Edition" provides expert tutelage for data modelers, business analysts and systems designers at all levels. Beginning with the basics, this book provides a thorough grounding in theory before guiding the reader through the various stages of applied data modeling and database design. Later chapters address advanced subjects, including business rules, data warehousing, enterprise-wide modeling and data management.
The third edition of this popular book retains its distinctive hallmarks of readability and usefulness, but has been given significantly expanded coverage and reorganized for greater reader comprehension. Authored by two leaders in the field, "Data Modeling Essentials, Third Edition" is the ideal reference for professionals and students looking for a real-world perspective.
- Thorough coverage of the fundamentals and relevant theory.
- Recognition and support for the creative side of the process.
- Expanded coverage of applied data modeling includes new chapters on logical and physical database design.
- New material describing a powerful technique for model verification.
- Unique coverage of the practical and human aspects of modeling, such as working with business specialists, managing change, and resolving conflict.
- Extensive online component including course notes and other teaching aids (www.mkp.com).
UML diagrams now available Visit the companion site for more details.
Click here to view a book review by Steve Hoberman

"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 "Data Modeling Essentials is a fresh look at an old topic...much more accesible and refreshing in its tone and attitude. Simsion's explanations are very clear and his examples easy to follow...This book is useful for both beginners and experienced data modelers who want a new innovative approach to the important task of documenting data requirements." - The Bridge --Barbara A. Carkenord "The book is extremely well-written. It is humorous at times, full of useful anecdotes, and follows a very logical sequence...In summary, I found Data Modeling Essentials, Third Edition, very useful for data modelers at any level of experience." - DM Review

The basicsp. 1
What is data modeling?p. 3
Basics of sound structurep. 33
The entity-relationship approachp. 65
Subtypes and supertypesp. 111
Attributes and columnsp. 145
Primary keys and identityp. 183
Extensions and alternativesp. 207
Putting it togetherp. 229
Organizing the data modeling taskp. 231
The business requirementsp. 251
Conceptual data modelingp. 273
Logical database designp. 321
Physical database designp. 359
Advanced topicsp. 389
Advanced normalizationp. 391
Modeling business rulesp. 417
Time-dependent datap. 451
Modeling for data warehouses and data martsp. 475
Enterprise data models and data managementp. 499
Table of Contents provided by Blackwell. All Rights Reserved.

ISBN: 9780126445510
ISBN-10: 0126445516
Series: The Morgan Kaufmann Series in Data Management Systems
Audience: Professional
Format: Paperback
Language: English
Number Of Pages: 560
Published: 18th November 2004
Publisher: Elsevier Science & Technology
Country of Publication: US
Dimensions (cm): 23.5 x 19.1  x 4.0
Weight (kg): 1.11
Edition Number: 3
Edition Type: Revised