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The Data Warehouse Lifecycle Toolkit Paperback – 4 Jan 2008

4.0 out of 5 stars 8 customer reviews

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Product details

  • Paperback: 672 pages
  • Publisher: John Wiley & Sons; 2nd Revised edition edition (4 Jan. 2008)
  • Language: English
  • ISBN-10: 0470149779
  • ISBN-13: 978-0470149775
  • Product Dimensions: 18.8 x 3.3 x 23.6 cm
  • Average Customer Review: 4.0 out of 5 stars  See all reviews (8 customer reviews)
  • Amazon Bestsellers Rank: 144,939 in Books (See Top 100 in Books)
  • See Complete Table of Contents

Product Description

Review

(...)
Das Buch richtet sich primdr an Designer und Informations-Manager im Umfeld von Data-Warehouse-Anwendungen. Diese Zielgruppe erhdlt Ratschldge und Handlungsanleitungen, um deren Anforderungen optimal zu bewdltigen. Dabei ist der ganzheitliche Ansatz zu betonen, der eine evolutiondre Weiterentwicklung besser als singuldre Schnellsch]sse unterst]tzen kann. auch der zugrundeliegende Architekturcharakter trdgt zur Festigung dieser Intension bei. Zu knapp werden die Themen Data Mining und Parallelverarbeitung angesprochen; ebenfalls fehlen zur Vertiefung weiterf]hrende Literaturhinweise. Insbesondere SMP und MPP bieten f]r die praktische Realisierung wichtige Unterst]tzungshilfen. Wobei zur Verbesserung der Performance die Fdhigkeit einiger DBMS Abfragen zu optimieren und parallel zu verarbeiten n]tzlich ist.
IT-Director 10/2000

From the Back Cover

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 first edition of The Data Warehouse Lifecycle Toolkit was published in 1998. In that time, the data warehouse industry has reached full maturity and acceptance, hardware and software have made staggering advances, and the techniques promoted in the premiere edition of this book have been adopted by nearly all data warehouse vendors and practitioners. In addition, the term "business intelligence" emerged to reflect the mission of the data warehouse: wrangling the data out of source systems, cleaning it, and delivering it to add value to the business.

Ralph Kimball and his colleagues have refined the original set of Lifecycle methods and techniques based on their consulting and training experience. The authors understand first–hand that a data warehousing/business intelligence (DW/BI) system needs to change as fast as its surrounding organization evolves. To that end, they walk you through the detailed steps of designing, developing, and deploying a DW/BI system. You′ll learn to create adaptable systems that deliver data and analyses to business users so they can make better business decisions.

With substantial new and updated content, this second edition of The Data Warehouse Lifecycle Toolkit again sets the standard in data warehousing for the next decade. It shows you how to:

  • Identify and prioritize data warehouse opportunities
  • Create an architecture plan and select products
  • Design a powerful, flexible, dimensional model
  • Build a robust ETL system
  • Develop BI applications to deliver data to business users
  • Deploy and sustain a healthy DW/BI environment

The authors are members of the Kimball Group. Each has focused on data warehousing and business intelligence consulting and education for more than 15 years; most have written other books in the Toolkit series. Learn more about the Kimball Group and Kimball University at www.kimballgroup.com.

Wiley Technology Publishing
Timely. Practical. Reliable.

Visit the book′s companion website at www.wiley.com/compbooks/kimball
Find templates, sample documents, checklists, and task lists on the book′s companion website at www.kimballgroup.com

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Customer Reviews

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Top Customer Reviews

Format: Paperback
If you are going to be involved in a Data Warehouse project then buy this book.

It is a complete blueprint of how to run a DW project that is actually going to deliver some business value at the end of it, and not just cost a lot of money and fail miserably - which unfortunately most still do these days.

Chapter 6 which describes Dimensional modelling is absolutely essential reading for anyone about to get their hands dirty building a DW.

I tend to make notes in my books, and when I look back on how much highlighting, underlining, scribbles and post-its I have all over Chapter 6 - I know that there is an absolute goldmine of valuable information condensed here. I only wish I'd had some glitter to hand too.

My advice, if you really want to understand the whole Kimball methodology - buy the book, read it cover to cover. Re-read chapter 6 maybe 3 or 4 times, then buy the confusingly similarly named "The Data Warehouse Toolkit". Read that cover to cover twice. Then go and lay down in a darkened room for a bit and don't read any more books with the words "Data Warehouse" or "Toolkit" in the title for at least a month.
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I have been in the BI field for quite sometime and found this book exceedingly helpful during my initial days - I thumb it time to time even now and it seems more relevant than ever. Over so many years I encountered the scenarios laid down in this book and only a few of them were technical. To understand that a DW work begins long before tables and ETL design is something this books captures very effeciently and even guides on how to progress.

This toolkit is comprehensive and quite simple to understand, though a prior practical exposure wouldn't hurt.

Of course, it does not meet all the practical realities of BI needs; at times delivery timeline pressures, lack of funds etc lead to an approach that is a mix of both worlds - Inmon and Kimball. However, given the right circumstances, for me, the latter stands out unquestionably.

This is a must read for anyone aspiring to work professionally in the business intelligence/data warehousing domain.
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Another totaly must-have book by the Kimball Group. This 2nd edition is a great improvement over the original (which was published 10 years ago), with lots of new material and some re-visits on previous older but still relevant aspects.

This is a must read for anybody aspiring to DW/BI guru-dom.
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This book really does go down and starts from the basics on understanding the data warehouse concept as well as practical 'howto' get your project successfully from kick to the completion and commencement of next iteration.
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