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.
Rezensionen / Stimmen
"The perfect balance of theory and practice, giving the reader both the foundation and the tools to deliver high-quality data models." --Karen Lopez, Principal, InfoAdvisors, Inc.
"The complete guide to data modeling for the reflective practitioner. Students like this book and so do I -- it is clear and accessible without sacrificing rigor." --Professor Graeme Shanks, School of Business Systems, Monash University, Australia
"A unique, practical and comprehensive guide, providing an invaluable resource to anyone involved in data modeling from the novice to the expert data modeler." --Len Silverston, author of The Data Model Resource Book, Volumes 1 and 2.
"Includes an extraordinary amount of good, useful, and well articulated information about the field." --David Hay, President, Essential Strategies, Inc. and author of Data Model Patterns
"Data Modeling Essentials is a fresh look at an old topic...much more accesible and refreshing in its tone and attitude. Simsion's explanations are very clear and his examples easy to follow...This book is useful for both beginners and experienced data modelers who want a new innovative approach to the important task of documenting data requirements." - The Bridge --Barbara A. Carkenord
"The book is extremely well-written. It is humorous at times, full of useful anecdotes, and follows a very logical sequence...In summary, I found Data Modeling Essentials, Third Edition, very useful for data modelers at any level of experience." --DM Review
Reihe
Auflage
Sprache
Verlagsort
Verlagsgruppe
Elsevier Science & Technology
Zielgruppe
Für Beruf und Forschung
data modelers, data architects, database designers, DBAs, systems analysts; undergraduate and graduate-level students
Editions-Typ
Maße
Höhe: 235 mm
Breite: 191 mm
Gewicht
ISBN-13
978-0-12-644551-0 (9780126445510)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
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.
Autor*in
Senior Fellow, University of Melbourne, Australia
Independent Consultant, Sydney, Australia
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
