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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 & ConceptsChapter-opening lists of specific skills covered in the chapter
- Ask the expertQ&A sections filled with bonus information and helpful tips
- Try ThisHands-on exercises that show you how to apply your skills
- NotesExtra information related to the topic being covered
- Self TestsChapter-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.
|Publisher:||McGraw-Hill Professional Publishing|
|Product dimensions:||7.30(w) x 9.10(h) x 1.10(d)|
About the Author
Andy Oppel has taught database technology for the
University 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;