Datawarehouse

Páginas: 469 (117181 palabras) Publicado: 28 de abril de 2012
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Uttama Reddy

Uttama Reddy

Building the
Data Warehouse
Third Edition

W. H. Inmon

Wiley Computer Publishing

John Wiley & Sons, Inc.
N EW YOR K • CH ICH ESTER • WEI N H EI M • B R ISBAN E • SI NGAPOR E • TORONTO

Uttama Reddy

Uttama Reddy

Building the
Data Warehouse
Third Edition

Uttama Reddy

Uttama Reddy

Building the
Data WarehouseThird Edition

W. H. Inmon

Wiley Computer Publishing

John Wiley & Sons, Inc.
N EW YOR K • CH ICH ESTER • WEI N H EI M • B R ISBAN E • SI NGAPOR E • TORONTO

Uttama Reddy

Publisher: Robert Ipsen
Editor: Robert Elliott
Developmental Editor: Emilie Herman
Managing Editor: John Atkins
Text Design & Composition: MacAllister Publishing Services, LLC
Designations used by companies todistinguish their products are often claimed as trademarks. In all
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This book is printed on acid-free paper.
Copyright © 2002 by W.H. Inmon. Allrights reserved.
Published by John Wiley & Sons, Inc.
Published simultaneously in Canada.
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Library ofCongress Cataloging-in-Publication Data:
ISBN: 0-471-08130-2
Printed in the United States of America.
10 9 8 7 6 5 4 3 2 1

Uttama Reddy

To Jeanne Friedman—a friend for all times

Uttama Reddy

Uttama Reddy

C O N T E N TS

Preface for the Second Edition

xiii

Preface for the Third Edition

xiv

Acknowledgments

xix

About the Author

xx

Chapter 1

Evolution ofDecision Support Systems

1

The Evolution

2
4
4
5
6

The Advent of DASD
PC/4GL Technology
Enter the Extract Program
The Spider Web

Problems with the Naturally Evolving Architecture
Lack of Data Credibility
Problems with Productivity
From Data to Information
A Change in Approach

The Architected Environment
Data Integration in the Architected Environment

6
6
9
1215
16
19

Who Is the User?
The Development Life Cycle

21

Patterns of Hardware Utilization

22

Setting the Stage for Reengineering

23

Monitoring the Data Warehouse Environment

25

Summary
Chapter 2

19

28

The Data Warehouse Environment

31

The Structure of the Data Warehouse

35

Subject Orientation

36

Day 1-Day n Phenomenon

41

Granularity43
45
46
49

The Benefits of Granularity
An Example of Granularity
Dual Levels of Granularity

vii

Uttama Reddy
C O N T E N TS

Exploration and Data Mining

53

Living Sample Database

53

Partitioning as a Design Approach

55
56

Partitioning of Data

Data Warehouse: The Standards Manual

64

Auditing and the Data Warehouse

64

Cost Justification...
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