Data Warehousing in Action - cover

Data Warehousing in Action

Sean Kelly

  • 07 juli 1997
  • 9780471966401
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Construct and implement a data warehousing plan. In their efforts to collect information that will give them an edge, many companies have amassed vast amounts of data. Often this data becomes unwieldy and difficult to translate into anything useful.

"A pioneering voice in the data warehouse market."
Jack Sweeney, President & CEO Intellidex Systems and Co-chairperson of the Metadata Council

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.



Construct and implement a data warehousing plan.

In their efforts to collect information that will give them an edge, many companies have amassed vast amounts of data. Often this data becomes unwieldy and difficult to translate into anything useful. Data warehousing, storing all of this data in a system that allows for rapid retrieval of customized information, is the solution. This book, written by a data warehousing authority, is a step-by-step guide to creating and managing a data warehouse from start to finish, reviewing marketing, technology, and design issues.

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