Data modeling essentials
Author(s)
Bibliographic Information
Data modeling essentials
Morgan Kaufmann Publishers, an imprint of Elsevier, c2005
3rd ed.
Available at / 8 libraries
-
No Libraries matched.
- Remove all filters.
Note
Includes bibliographical references and index
HTTP:URL=http://www.loc.gov/catdir/toc/els051/2004275106.html Information=Table of contents
HTTP:URL=http://www.loc.gov/catdir/description/els051/2004275106.html Information=Publisher description
Description and Table of Contents
Description
Data Modeling Essentials, Third Edition, covers the basics of data modeling while focusing on developing a facility in techniques, rather than a simple familiarization with "the rules". In order to enable students to apply the basics of data modeling to real models, the book addresses the realities of developing systems in real-world situations by assessing the merits of a variety of possible solutions as well as using language and diagramming methods that represent industry practice.
This revised edition has been given significantly expanded coverage and reorganized for greater reader comprehension even as it retains its distinctive hallmarks of readability and usefulness. Beginning with the basics, the 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. It includes an entirely new section discussing the development of logical and physical modeling, along with new material describing a powerful technique for model verification. It also provides an excellent resource for additional lectures and exercises.
This text is the ideal reference for data modelers, data architects, database designers, DBAs, and systems analysts, as well as undergraduate and graduate-level students looking for a real-world perspective.
Table of Contents
Part I: Basics 1. What is Data Modeling? 2. Basics of Good Structure 3. The Entity-Relationship Approach 4. Subtypes and Supertypes 5. Attributes and Columns 6. Primary Keys and Identity 7. Extensions and Alternatives
Part II: Putting it Together 8. Organizing the Data Modeling Task 9. Understanding the Business Requirements 10. Conceptual Modeling 11. Logical Database Design 12. Physical Database Design
Part III: Advanced Topics 13. Advanced Normalization 14. Modeling Business Rules 15. Time-Dependent Data 16. Modeling for Data Warehouses and Data Marts 17. Enterprise Data Models and Data Management
by "Nielsen BookData"
