Cover image for Data modeling : a beginner's guide
Title:
Data modeling : a beginner's guide
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Publication Information:
New York : McGraw-Hill, 2010
Physical Description:
xxiii, 338 pages : illustrations ; 24 cm.
ISBN:
9780071623988

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30000010351247 QA76.9.D26 O66 2010 Open Access Book Gift Book
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33000000014782 QA76.9.D26 O66 2010 Open Access Book Gift Book
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Summary

Summary

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Essential Skills--Made Easy!

Learn how to create data models that allow complex data to be analyzed, manipulated, extracted, and reported upon accurately. Data Modeling: A Beginner's Guide teaches you techniques for gathering business requirements and using them to produce conceptual, logical, and physical database designs. You'll get details on Unified Modeling Language (UML), normalization, incorporating business rules, handling temporal data, and analytical database design. The methods presented in this fast-paced tutorial are applicable to any database management system, regardless of vendor.

Designed for Easy Learning

Key Skills & Concepts--Chapter-opening lists of specific skills covered in the chapter Ask the expert--Q&A sections filled with bonus information and helpful tips Try This--Hands-on exercises that show you how to apply your skills Notes--Extra information related to the topic being covered Self Tests--Chapter-ending quizzes to test your knowledge

Andy Oppel has taught database technology for the University of California Extension for more than 25 years. He is the author of Databases Demystified, SQL Demystified , and Databases: A Beginner's Guide , and the co-author of SQL: A Beginner's Guide, Third Edition , and SQL: The Complete Reference, Third Edition .


Author Notes

Andy Oppel has taught database technology for theUniversity of California for more than 20 years. He is the bestselling author of Databases Demystified, SQL Demystified , and Databases: A Beginner's Guide and co-author of SQL: A Beginner's Guide, Third Edition .


Table of Contents

Part I Data Modeling Concepts
Chapter 1 Introduction to Data Modeling
Chapter 2 Relational Database Components
Chapter 3 Data and Process Modeling
Chapter 4 Organizing Database Project Work
Part II Data Modeling Details
Chapter 5 Conceptual Data Modeling
Chapter 6 Logical Database Design Using Normalization
Chapter 7 Beyond Third Normal Form
Chapter 8 Physical Database Design
Part III Design Alternatives
Chapter 9 Alternatives for Incorporating Business Rules
Chapter 10 Alternatives for Handling Temporal Data
Chapter 11 Modeling for Analytical Databases
Chapter 12 Enterprise Data Modeling
Part IV Appendixes
Appendix A Answers to Self Tests
Appendix B Solutions to Try This Exercises
Index