Data Warehousing in Action / Edition 1

Data Warehousing in Action / Edition 1

by Sean Kelly
     
 

"A pioneering voice in the data warehouse market." - Jack Sweeney President & CEO Intellidex Systems and Co-chairperson of the Metadata Council Data Warehousing in Action Sean Kelly In an age of information rich and poor, corporations are busy amassing gigabytes of data under the assumption that data is power. Data is plentiful - information is scarce. Data

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Overview

"A pioneering voice in the data warehouse market." - Jack Sweeney President & CEO Intellidex Systems and Co-chairperson of the Metadata Council Data Warehousing in Action Sean Kelly In an age of information rich and poor, corporations are busy amassing gigabytes of data under the assumption that data is power. Data is plentiful - information is scarce. Data Warehousing in Action provides the tool to harness this data and transform it into useful customized bytes of information. This book is a fully comprehensive account of how to proceed with the data warehouse project in a clear step-by-step fashion. It is aimed at all those involved in designing and implementing a meaningful data warehousing architecture. Data Warehousing in Action
* identifies industrial applications for data warehousing
* provides a framework for building a data warehouse
* analyzes the options for choosing relevant architecture
* appraises the technologies used in data warehousing
* outlines methodology for managing the project
* explains how to futureproof the design
Following on from the success of Data Warehousing: the Route to Mass Customization (Wiley 1994), this book moves on to explore the next generation in data warehouse architecture.

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Product Details

ISBN-13:
9780471966401
Publisher:
Wiley
Publication date:
08/25/1997
Pages:
334
Product dimensions:
9.69(w) x 7.44(h) x 0.70(d)

Meet the Author

Table of Contents

PLANNING THE DATA WAREHOUSE.
The Fundamentals of Data Warehousing.
Achieving Competitive Advantage: A Review of TypicalApplications.
Managing the Data Warehouse Project.
INTEGRATING THE DATA—THE DATA WAREHOUSE INFRASTRUCTURE.
The Data Warehouse Architecture.
Data Warehouse Technology.
Metadata Management.
Data Quality.
EXPLOITING THE DATA—THE DATA WAREHOUSE APPLICATIONS.
Data Access and Exploitation.
Data Mining.
LOOKING TO THE FUTURE—NEXT GENERATION DATA WAREHOUSE.
Future Directions in the First Generation of DataWarehousing.
The Second Generation of Data Warehousing—Reintegration with theOperational Systems.
Appendices.
Index.

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