Paperback. Aimed at helping business and IT managers clearly communicate with each other, this helpful book addresses concerns straight-on and provides practical methods to building a collaborative data warehouse . Youll get clear explanations of the goals and objectives of each stage of the data warehouse lifecycle while learning the roles that both business managers and technicians play at each stage. Discussions of the most critical decision points for success at each phase of the data warehouse lifecycle help you understand ways in which both business and IT management can make decisions that best meet unified objectives. The Manager's Guide to Data Warehousing covers all phases of the data warehouse lifecycle, helping to explain the roles that both business managers and technicians play at each stage. The goals and objectives of each phase are explained, as are the critical decision points for success at each phase. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Bibliographic Details

Title: A Manager's Guide to Data Warehousing (Paperback)
Publisher: John Wiley & Sons Inc, New York
Publication Date: 2009
Language: English
ISBN 10: 0470176385
ISBN 13: 9780470176382
Binding: Paperback
Edition: 1st Edition
Condition: new

About this title

Synopsis

Aimed at helping business and IT managers clearly communicate with each other, this helpful book addresses concerns straight-on and provides practical methods to building a collaborative data warehouse . You’ll get clear explanations of the goals and objectives of each stage of the data warehouse lifecycle while learning the roles that both business managers and technicians play at each stage. Discussions of the most critical decision points for success at each phase of the data warehouse lifecycle help you understand ways in which both business and IT management can make decisions that best meet unified objectives.

About the Author

LAURA L. REEVES, coauthor of The Data Warehouse Lifecycle Toolkit, has over 23 years of experience in end-to-end data warehouse development focused on developing comprehensive project plans, collecting business requirements, designing business dimensional models and database schemas, and creating enterprise data warehouse strategies and data architectures.

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