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E-mail Message: I thought you might be interested in this item at http://www.worldcat.org/oclc/173640986 Title: The data warehouse lifecycle toolkit Author: Ralph Kimball Publisher: Indianapolis, IN : Wiley Pub., ©2008. ISBN/ISSN: 9780470149775 0470149779 OCLC:173640986

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The data warehouse lifecycle toolkit

Author:	Ralph Kimball; et al
Publisher:	Indianapolis, IN : Wiley Pub., ©2008.
Edition/Format:	Book : English : 2nd edView all editions and formats
Summary:	'The Data Warehouse Lifecycle Toolkit' has become the industry standard for data warehouse design, development, and management. This second edition brings the content up-to-date to reflect the latest set of recommended best practices.
Rating:	(not yet rated) 0 with reviews - Be the first.

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Material Type:	Internet resource
Document Type:	Book, Internet Resource
All Authors / Contributors:	Ralph Kimball; et al Find more information about:
ISBN:	9780470149775 0470149779
OCLC Number:	173640986
Notes:	Includes index.
Description:	xxxiv, 636 p. : ill. ; 24 cm.
Contents:	Introducing the Kimball lifecycle -- Launching and managing the project/program -- Collecting the requirements -- Introducing the technical architecture -- Creating the architecture plan and selecting products -- Introducing dimensional modeling -- Designing the dimensional model -- Designing the physical database and planning for performance -- Introducing extract, transformation, and load -- Designing and developing the ETL system -- Introducing business intelligence applications -- Designing and developing business intelligence applications -- Deploying and supporting the DW/BI system -- Expanding the DW/BI system.
Other Titles:	Data warehouse lifecycle toolkit : Practical techniques for building data warehouse and business intelligence systems
Responsibility:	Ralph Kimball ... [et al.].
More information:	Publisher description Table of contents only Contributor biographical information

Abstract:

A thorough update to the industry standard for designing, developing, and deploying data warehouse and business intelligence systems The world of data warehousing has changed remarkably since the Read more...

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