Data Modeling: A Beginner's Guide / Edition 1

by Andy Oppel

Overview

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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.

Product Details

ISBN-13:	9780071623988
Publisher:	McGraw Hill LLC
Publication date:	12/21/2009
Pages:	368
Product dimensions:	7.30(w) x 9.10(h) x 1.10(d)

About the Author

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