Data Modeling Essentials

3rd Auflage
ISBN: 978-0-12-644551-0
Verlag: William Andrew Publishing

Buch, Englisch, 560 Seiten, Format (B × H): 191 mm x 235 mm

Reihe: The Morgan Kaufmann Series in Data Management Systems

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.



- Thorough coverage of the fundamentals and relevant theory
- Recognition and support for the creative side of the process
- Expanded coverage of applied data modeling includes new chapters on logical and physical database design
- New material describing a powerful technique for model verification
- Unique coverage of the practical and human aspects of modeling, such as working with business specialists, managing change, and resolving conflict

Zielgruppe

data modelers, data architects, database designers, DBAs, systems analysts; undergraduate and graduate-level students

Autoren/Hrsg.

Simsion, Graeme

Witt, Graham

Fachgebiete

• Mathematik | Informatik EDV | Informatik Technische Informatik Wartung & Reparatur
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken
• Mathematik | Informatik EDV | Informatik Technische Informatik Dienstprogramme

Inhaltsverzeichnis

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

Über Autor(innen)

Simsion, Graeme
Graeme C. Simsion has over 25 years experience in information systems as a DBA, data modeling consultant, business systems designer, manager, and researcher. He is a regular presenter at industry and academic forums, and is currently a Senior Fellow with the Department of Information Systems at the University of Melbourne.

Witt, Graham
Graham C. Witt is an independent consultant with over 30 years of experience in assisting enterprises to acquire relevant and effective IT solutions. His clients include major banks and other financial institutions; businesses in the insurance, utilities, transport and telecommunications sectors; and a wide variety of government agencies. A former guest lecturer on Database Systems at University of Melbourne, he is a frequent presenter at international data management conferences.

Graeme C. Simsion has over 25 years experience in information systems as a DBA, data modeling consultant, business systems designer, manager, and researcher. He is a regular presenter at industry and academic forums, and is currently a Senior Fellow with the Department of Information Systems at the University of Melbourne. Graham C. Witt is an independent consultant with over 30 years of experience in assisting enterprises to acquire relevant and effective IT solutions. His clients include major banks and other financial institutions; businesses in the insurance, utilities, transport and telecommunications sectors; and a wide variety of government agencies. A former guest lecturer on Database Systems at University of Melbourne, he is a frequent presenter at international data management conferences.