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The Enterprise Data Warehouse: Planning, Building and Implementation v. 1
 
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The Enterprise Data Warehouse: Planning, Building and Implementation v. 1 (Hardcover)

by Eric Sperley (Author), Hewlett-Packard (Author)
4.5 out of 5 stars See all reviews (2 customer reviews)

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Product details

  • Hardcover: 333 pages
  • Publisher: Prentice Hall (4 May 1999)
  • Language English
  • ISBN-10: 0139058451
  • ISBN-13: 978-0139058455
  • Product Dimensions: 24.3 x 18.5 x 3 cm
  • Average Customer Review: 4.5 out of 5 stars See all reviews (2 customer reviews)
  • Amazon.co.uk Sales Rank: 1,912,129 in Books (See Bestsellers in Books)
  • See Complete Table of Contents

Product Description

Product Description

This is an "in-the-trenches" guide to deploying data warehouses that align tightly with your business objectives. From Joint Application Development (JAD) techniques that maximize bang for the buck, to choosing the best hardware, software and end-user access components, Eric Sperley delivers field-tested techniques you can rely on. Coverage includes enterprise data modeling, including Transactional ER and Analytical Star approaches; key architectural tradeoffs; how to build metadata repositories that illuminate your data resources, and more. Discover how to improve data quality without breaking the bank; and learn sophisticated data mining techniques, including genetic algorithms, neural networks and clustering. Sperley delivers a practical, business-focused methodology that's flexible enough for any enterprise--and so detailed it'll never leave you wondering what to do next. The accompanying CD-ROM contains high-level project plans, sample data models, state-of-the-art data warehouse trialware, data warehousing Web links, and a demo you can use to show the practical value of data warehousing.



From the Back Cover


90584-4

Nuts-and-bolts data warehousing techniques that get the job done!

Finally, specifics! This isn't a "theory" book: it's an in-the-trenches, step-by-step guide to deploying data warehouses that align tightly with your business objectives. From Joint Application Development (JAD) techniques that maximize bang for the buck, to choosing the best hardware, software, and end-user access components, Eric Sperley delivers field-tested techniques you can rely on. Coverage includes:

  • Enterprise data modeling, including Transactional ER and Analytical Star approaches
  • Architecting the data warehouse: roles, tradeoffs, and compromises
  • Building metadata repositories that illuminate your data resources
  • Improving data quality - without breaking the bank
  • Sophisticated data mining: genetic algorithms, neural networks, clustering, decision trees, and beyond
  • Planning for scalability and easy updates

Sperley delivers a practical, business-focused methodology that's flexible enough for any enterprise - and so detailed it'll never leave you wondering what to do next. If your data warehouse must deliver sustainable competitive advantage, don't settle for anything less.



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Customer Reviews

2 Reviews
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Average Customer Review
4.5 out of 5 stars (2 customer reviews)
 
 
 
 
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Most Helpful Customer Reviews

 
5.0 out of 5 stars Excellent, 11 Jun 1999
By A Customer
Excellent, Outstanding, the best book to buy in the market on datawarehousing. Eric communicates very well with his reader and brings datawarehousing to life. Good exercises at the end of each chapter.

excellent, brilliant, outstanding. If only i could give this book 10 stars i would.

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4.0 out of 5 stars An excellent book filled with usefull information, 22 May 1999
By A Customer
Only one word is needed to describe Mr. Sperley's book, The Enterprise Data Warehouse, Volume 1, and that is OUTSTANDING. This very readable book "grabbed" my attention from the beginning and I found it difficult to put it book down. This is definitely not another dry technical tome.

The illustrations are excellent and well thought out. Brief reviews of earlier systems stimulate and hold our interest.

The author builds his thesis on constructing a data warehouse using a methodology called joint application development (JAD). JAD is a team oriented approach to incorporating the Information Technology (IT) organization into the business community in a natural way.

Used in conjunction with the spiral model of rapid application development (RAD) and its time boxing resource control and iterative processes, JAD provides a methodology that supports the critical definition of the executive vision and organization with valuable decision making information.

The section on selections of data models and tools provides an excellent resource for defining data warehouse design requirement.

The weak point of the book is its very limited Glossary. A book filled with a multitude of acronyms, although well defined as they are throughout the book, should be contained in the Glossary.

In conclusion, I would highly recommend this book to anyone interested in the planning, building, and implementation of an enterprise data warehouse. In addition, I would strongly consider purchasing the companion Volume Two of this very readable book. Book Reviewer,

William R Jennings

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