Data Modeling Essentials

Graeme C. Simsion, Graham C. Witt - Collection Morgan Kaufmann Publishers

532 pages, parution le 15/12/2004 (3^eme édition)

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Résumé

Data Modeling Essentials, Third Edition provides expert tutelage for data modelers, business analysts, and systems designers at all levels. Beginning with the basics, this book provides a thorough grounding in theory before guiding the reader through the various stages of applied data modeling and database design. Later chapters delve into advanced subjects, including business rules, data warehousing, and enterprise-wide modeling and data management.

The third edition of this popular book retains its distinctive hallmarks of readability and usefulness, but has been given significantly expanded coverage and reorganized for greater reader comprehension. Authored by two leaders in the field, Data Modeling essentials, Third Edition is the ideal reference for professionals and students looking for a real-world perspective.

Features :

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 new 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
Extensive online component including course notes and other teaching aids (www.mkp.com)

L'auteur - Graeme C. Simsion

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.

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L'auteur - Graham C. Witt

Graham C. Witt is an independent consultant with over 30 years of experience in system specification, user interface design, data modeling, relational database design, data quality, and metadata. In this time he has completed a number of successful projects in these areas for major clients in a variety of industry sectors, including education, health, telecommunications, finance, transport, and government. He has also developed a reputation as an effective educator in these disciplines and is a frequent presenter at international data management conferences.

Sommaire

Preface
What Is Data Modeling?
Basics of Sound Structure
The Entity-Relationship Approach
Subtypes and Supertypes
Attributes and Columns
Primary Keys and Identity
Extensions & Alternatives
Organizing the Data Modeling Task
The Business Requirements
Conceptual Data Modeling
Logical Database Design
Physical Database Design
Advanced Normalization
Modeling Business Rules
Time-Dependent Data
Modeling for Data Warehouses and Data Marts
Enterprise Data Models and Data Management
Further Reading

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Caractéristiques techniques

	PAPIER
Éditeur(s)	Elsevier
Auteur(s)	Graeme C. Simsion, Graham C. Witt
Collection	Morgan Kaufmann Publishers
Parution	15/12/2004
Édition	3^eme édition
Nb. de pages	532
Format	19 x 23,5
Couverture	Broché
Poids	1133g
Intérieur	Noir et Blanc
EAN13	9780126445510
ISBN13	978-0-12-644551-0