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A Manager's Guide to Data Warehousing

 
 
 
 
A Manager's Guide to Data Warehousing
Author: Laura Reeves
ISBN 13: 9780470176382
ISBN 10: 470176385
Edition: 1
Publisher: Wiley
Publication Date: 2009-05-26
Format: Paperback
Pages: 480
List Price: $60.00
 
 

An ideal guide for the non-technical professional eager to learn more about data warehousing

A successful data warehouse project can provide immense value for business enterprises or other organizations. Building and maintaining a data warehouse demands the combined efforts of both IT and non-technical personnel. While there are plenty of resources aimed at the technology professionals who design and build data warehouses, there has to date been no useful guide written for a non-technical audience. This book fills that void and serves as an ideal resource for business and IT managers and others from the non-IT side who want to do their part to ensure data warehousing success.

This helpful book provides a solid introduction to the fundamentals of data warehousing. The author details each step of a data warehouse project, and provides a clear explanation of what's involved in efficiently building a data warehouse and what must be done to deliver the data. You'll examine the business management of a data warehouse and discover essential methods for cultivating a strong partnership between the business and IT elements of your organization. You can use this knowledge to be more effective when sharing your requirements and concerns during a project.

A Manager's Guide to Data Warehousing explains what you need to create your data warehouse and establish long-term success. The book covers:

  • The most common factors for ensuring data warehousing success and the roadblocks that can prevent it
  • How to ensure that business and technical staff have a common understanding of the data warehouse project
  • How to effectively communicate your business requirements for the data warehouse
  • The tools you need to make certain that data is organized and can be delivered as needed
  • Ways to deploy the data warehouse and ensure sustainable success