Data Modeling Essentials

Analysis, Design, and Innovation

Graeme C. Simsion

456 pages, parution le 15/12/2000 (2^eme édition)

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Résumé

Written by leading practitioners, this guide to data analysis, design and innovation is a tutorial and reference for systems analysts, business analysts, specialist data modelers, database designers, and students requiring a practical understanding of a project. It includes many practical examples to illustrate choices available to modelers and criteria for selecting the best model. The book explores the difference between modeling business data requirements and designing and maintaining the resulting database, including the impact of universal server and data distribution. A revision of the first successful edition published by Coriolis in 1994, this book contains numerous updates and additional chapters to illustrate real world data modeling for commercial information systems.

Contents

Overview of Data Modeling

Waht is a data modeling?
Basic normalization
The entity-relationship approach
Subtypes and supertypes
Putting it all together
Organizing the data modeling task

Advanced Data Modeling

More about relationships and foreign keys
Advanced normalization
Primary keys and identity
Attributes
Time-dependent data
Modeling business rules
Modeling for data warehouses and data marts
Corporate data modeling

Appendixes

IndeX

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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Caractéristiques techniques

	PAPIER
Éditeur(s)	Coriolis
Auteur(s)	Graeme C. Simsion
Parution	15/12/2000
Édition	2^eme édition
Nb. de pages	456
Format	19 x 23,3
Couverture	Broché
Poids	801g
Intérieur	Noir et Blanc
EAN13	9781576108727
ISBN13	978-1-57610-872-7