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Andy Oppel - Data Modeling

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Data Modeling A Beginners Guide

About the Author

Andrew J. (Andy) Oppel is a proud graduate of The Boys Latin School of Maryland and of Transylvania University (Lexington, Kentucky), where he earned a BA in computer science in 1974. Since then, he has been continuously employed in a wide variety of information technology positions, including programmer, programmer/analyst, systems architect, project manager, senior database administrator, database group manager, consultant, database designer, data modeler, and data architect. In addition, he has served as a part-time instructor with the University of California, Berkeley, Extension for more than 25 years and received the Honored Instructor Award for the year 2000. His teaching work included developing three courses for UC Extension, Concepts of Database Management Systems, Introduction to Relational Database Management Systems, and Data Modeling and Database Design. He also earned his Oracle 9i Database Associate certification in 2003. He is currently employed as a senior data modeler for Blue Shield of California. In addition to computer systems, Andy enjoys music (guitar and vocals), amateur radio, and soccer (Referee Instructor, US Soccer).

Andy has designed and implemented hundreds of databases for a wide range of applications, including medical research, banking, insurance, apparel manufacturing, telecommunications, wireless communications, and human resources. He is the author of Databases Demystified (McGraw-Hill Professional, 2004), SQL Demystified (McGraw-Hill Professional, 2005) and Databases: A Beginners Guide (McGraw-Hill Professional, 2009); and he is co-author of SQL: A Beginners Guide, Third Edition (McGraw-Hill Professional, 2008), and SQL: The Complete Reference, Third Edition (McGraw-Hill Professional, 2009). His database product experience includes IMS, DB2, Sybase ASE, Microsoft SQL Server, Microsoft Access, MySQL, and Oracle (versions 7, 8, 8i, 9i, and 10g).

If you have any comments, please contact Andy at andy@andyoppel.com.

About the Technical Editor

Todd Meister has been developing using Microsoft technologies for over ten years. He has been a technical editor on over 50 titles ranging from SQL Server to the .NET Framework. Besides performing technical editing of titles, he serves as Assistant Director for Computing Services at Ball State University in Muncie, Indiana. He lives in central Indiana with his wife, Kimberly, and their four talented children.

Data Modeling A Beginners Guide

Andy Oppel

Copyright 2010 by The McGraw-Hill Companies All rights reserved Printed in - photo 1

Copyright 2010 by The McGraw-Hill Companies All rights reserved Printed in - photo 2

Copyright 2010 by The McGraw-Hill Companies. All rights reserved. Printed in the United States of America. Printed in the United States of America. Except as permitted under the United States Copyright Act of 1976, no part of this publication may be reproduced or distributed in any form or by any means, or stored in a database or retrieval system, without the prior written permission of the publisher.

ISBN: 978-0-07-162399-5

MHID: 0-07-162399-X

The material in this eBook also appears in the print version of this title: ISBN: 978-0-07-162398-8, MHID: 0-07-162398-1.

All trademarks are trademarks of their respective owners. Rather than put a trademark symbol after every occurrence of a trademarked name, we use names in an editorial fashion only, and to the benefit of the trademark owner, with no intention of infringement of the trademark. Where such designations appear in this book, they have been printed with initial caps.

McGraw-Hill eBooks are available at special quantity discounts to use as premiums and sales promotions, or for use in corporate training programs. To contact a representative please e-mail us at bulksales@mcgraw-hill.com.

Information has been obtained by McGraw-Hill from sources believed to be reliable. However, because of the possibility of human or mechanical error by our sources, McGraw-Hill, or others, McGraw-Hill does not guarantee the accuracy, adequacy, or completeness of any information and is not responsible for any errors or omissions or the results obtained from the use of such information.

TERMS OF USE

This is a copyrighted work and The McGraw-Hill Companies, Inc. (McGraw-Hill) and its licensors reserve all rights in and to the work. Use of this work is subject to these terms. Except as permitted under the Copyright Act of 1976 and the right to store and retrieve one copy of the work, you may not decompile, disassemble, reverse engineer, reproduce, modify, create derivative works based upon, transmit, distribute, disseminate, sell, publish or sublicense the work or any part of it without McGraw-Hills prior consent. You may use the work for your own noncommercial and personal use; any other use of the work is strictly prohibited. Your right to use the work may be terminated if you fail to comply with these terms.

THE WORK IS PROVIDED AS IS. McGRAW-HILL AND ITS LICENSORS MAKE NO GUARANTEES OR WARRANTIES AS TO THE ACCURACY, ADEQUACY OR COMPLETENESS OF OR RESULTS TO BE OBTAINED FROM USING THE WORK, INCLUDING ANY INFORMATION THAT CAN BE ACCESSED THROUGH THE WORK VIA HYPERLINK OR OTHERWISE, AND EXPRESSLY DISCLAIM ANY WARRANTY, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. McGraw-Hill and its licensors do not warrant or guarantee that the functions contained in the work will meet your requirements or that its operation will be uninterrupted or error free. Neither McGraw-Hill nor its licensors shall be liable to you or anyone else for any inaccuracy, error or omission, regardless of cause, in the work or for any damages resulting therefrom. McGraw-Hill has no responsibility for the content of any information accessed through the work. Under no circumstances shall McGraw-Hill and/or its licensors be liable for any indirect, incidental, special, punitive, consequential or similar damages that result from the use of or inability to use the work, even if any of them has been advised of the possibility of such damages. This limitation of liability shall apply to any claim or cause whatsoever whether such claim or cause arises in contract, tort or otherwise.

To the memory of my Aunt Norma, one of the
strongest and kindest people I have ever known.

Contents at a Glance
Contents
Acknowledgments

My thanks to all the people involved in the development of Data Modeling: A Beginners Guide. First, the editors and staff at McGraw-Hill, many of whom I do not know by name, provided untold hours of support for this project. Thanks to editorial director Wendy Rinaldi for the inspiration to write this book and for being so supportive when so many of lifes demands caught up with me at the same time. And thanks to editorial supervisor Janet Walden for all the useful comments throughout the editing process, and to acquisitions coordinator Joya Anthony for keeping the processes moving. A special thanks to technical editor Todd Meister for all his inputit really helped to make this a better book. And my hat is off to copy editors Jan Jue and Robert Campbell for their consistency and attention to detail. Thanks to project manager Harleen Chopra and all the people at Glyph International who worked on the production of the book. Finally, thanks to my family for their understanding and support, especially during those times when I had to hide away in my office to write or create art files.

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