Planning and Designing the Data Warehouse (The Data Warehousing Institute series) [Paperback]

Ramon Barquin (Author), Herb Edelstein (Author)

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Product details

Paperback: 352 pages
Publisher: Prentice Hall; 1 edition (11 July 1996)
Language English
ISBN-10: 0132557460
ISBN-13: 978-0132557467
Product Dimensions: 24.1 x 17.8 x 2.5 cm
Amazon Bestsellers Rank: 1,951,597 in Books (See Top 100 in Books)

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Product Description

This book presents a collection of articles and essays written by data warehousing practitioners who have been pioneers in the field. The articles focus on how to plan and design a data warehouse project, capturing the state of the art in an extremely volatile field.* The book is organized into four sections - * Introduction. * Planning the Data Warehouse. * Designing the Data Warehouse. * Some Case Studies. * Covers key data warehousing issues including: developing a strategy, justifying the investment, architectures, optimizing database design, multidimensional models, and metadata repositories. * Includes two real-world case studies of successful data warehousing projects at Harris Semiconductor and the Naval Surface Warfare Center. * Edited by the President of The Data Warehousing Institute, a neutral forum where data warehouse users and vendors come together to consider critical issues. * One chapter is dedicated to helping managers avoid mistakes that can limit the effectiveness of a data warehouse. * Once the data warehouse is in place, this book provides guidance on helping end users make the most of it.

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Amazon.com: 1 review

3 of 3 people found the following review helpful

Good book but not my first choice... 5 Oct 2000

By "philgolden" - Published on Amazon.com

Format:Paperback

This book is sweet and sour. It is good because it covers many different topics by some very knowledgable authors. But on the other hand, I found it difficult to read. With so many authors, the pace kept changing along with the style. Get this book if you have time to rehash. Otherwise pass over this one for "Data Warehouse Project Managment".

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