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The Data Warehouse Lifecycle Toolkit [Kindle Edition]

Ralph Kimball , Margy Ross , Warren Thornthwaite , Joy Mundy , Bob Becker
4.6 out of 5 stars  See all reviews (5 customer reviews)

Print List Price: £33.99
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Book Description

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.


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Product Description

Amazon.co.uk Review

In The Data Warehouse Lifecycle Toolkit, authors Ralph Kimball, Laura Reeves, Margy Ross and Warren Thornthwaite present a structure for undertaking the mammoth task of implementing a data warehouse. As part of a rather select group of professionals actually experienced in building data warehouses, the authors attempt to convey their expertise about how to approach the job. The book focuses on the "Star Lifecycle"--a high-level, project-planning approach to evolving existing information systems into an ever-changing data-warehouse solution. --Stephen Plain, Amazon.com

Amazon Review

In The Data Warehouse Lifecycle Toolkit, authors Ralph Kimball, Laura Reeves, Margy Ross and Warren Thornthwaite present a structure for undertaking the mammoth task of implementing a data warehouse. As part of a rather select group of professionals actually experienced in building data warehouses, the authors attempt to convey their expertise about how to approach the job. The book focuses on the "Star Lifecycle"--a high-level, project-planning approach to evolving existing information systems into an ever-changing data-warehouse solution. --Stephen Plain, Amazon.com

Product details

  • Format: Kindle Edition
  • File Size: 8580 KB
  • Print Length: 672 pages
  • Publisher: Wiley; 2 edition (9 April 2009)
  • Sold by: Amazon Media EU S.à r.l.
  • Language: English
  • ASIN: B006UAFFLS
  • Text-to-Speech: Enabled
  • X-Ray:
  • Word Wise: Not Enabled
  • Average Customer Review: 4.6 out of 5 stars  See all reviews (5 customer reviews)
  • Amazon Bestsellers Rank: #228,721 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
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Most Helpful Customer Reviews
3 of 3 people found the following review helpful
5.0 out of 5 stars Excellent BI/DW guide 17 May 2010
Format:Paperback|Verified Purchase
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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11 of 12 people found the following review helpful
4.0 out of 5 stars How to avoid a big white elephant 25 July 2010
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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1 of 1 people found the following review helpful
4.0 out of 5 stars Nice piece on Data Warehouse Clarity 27 Nov. 2009
By Sholly
Format:Paperback|Verified Purchase
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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5 of 7 people found the following review helpful
Format:Paperback|Verified Purchase
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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5.0 out of 5 stars Excellent Buy 3 April 2013
Format:Paperback|Verified Purchase
Fantastic down to earth explanations with real business situations.
Worth buying if you are a starter in the DW technology.
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