Logical Data Modeling

What Is It and How To Do It

Alan Chmura, J. Mark Heuman - Collection Springer's Integrated Series in Information Systems

228 pages, parution le 27/01/2005

Ajouter à une liste

Indisponible

Résumé

Logical Data Modeling: What It Is and How To Do It is directed toward three groups of people: (1) Business subject matter experts, (2) information technology professionals, (3) advanced students in Computer Science, Management Information Systems, and e-Business. Its purpose is to outline the basics of logical data modeling-specifically, data modeling for relational database management systems-in simple, practical terms and in a business context. The focus on relational data modeling is consciously made because it is superior in modeling real business activities.

By reading and understanding this book, the enterprise-side project managers should gain enough understanding of data modeling to understand the principles and help communicate that understanding to the people who know the business, do the work, and are going to be affected by the system that is being created.

Sommaire

Preface
Acknowledgments
Getting Started
The Art Gallery Web: A Data Modeling Example
Building the Data Map
The Art Gallery Web (Continued)
Keys and Valid Associations
The Art Gallery Web (Continued)
Defining Attributes
The Art Gallery Web (Continued)
Verifying the Data Model
Validating the Data Model
Design Patterns
From Logical to Physical
The End and the Beginning
References
Index

Voir tout

Replier

Caractéristiques techniques

	PAPIER
Éditeur(s)	Springer
Auteur(s)	Alan Chmura, J. Mark Heuman
Collection	Springer's Integrated Series in Information Systems
Parution	27/01/2005
Nb. de pages	228
Format	16 x 24
Couverture	Relié
Poids	541g
Intérieur	Noir et Blanc
EAN13	9780387229508
ISBN13	978-0-387-22950-8