Enter your mobile number below and we'll send you a link to download the free Kindle App. Then you can start reading Kindle books on your smartphone, tablet, or computer - no Kindle device required.
Getting the download link through email is temporarily not available. Please check back later.

  • Apple
  • Android
  • Windows Phone
  • Android

To get the free app, enter your mobile phone number.

The Data Warehouse Lifecycle Toolkit : Expert Methods for Designing, Developing, and Deploying Data Warehouses

4.5 out of 5 stars 51 customer reviews
ISBN-13: 978-0471255475
ISBN-10: 0471255475
Why is ISBN important?
ISBN
This bar-code number lets you verify that you're getting exactly the right version or edition of a book. The 13-digit and 10-digit formats both work.
Scan an ISBN with your phone
Use the Amazon App to scan ISBNs and compare prices.
Have one to sell? Sell on Amazon
Buy used
$5.29
Condition: Used - Good
Condition: Used: Good
Comment: FREE TRACKING ON ALL ORDERS! Support Your Planet. Buy CLEAN EARTH BOOKS. Shipping orders swiftly since 2008. A great value for the avid reader! GOOD can range from a well cared for book in great condition to average with signs of slight wear. Overall, All text in great shape! Comes with our 100% Money Back Guarantee. Our customer service can't be beat! Tracking included on all orders.
Access codes and supplements are not guaranteed with used items.
74 Used from $0.01
FREE Shipping on orders over $25.
More Buying Choices
14 New from $4.97 74 Used from $0.01

There is a newer edition of this item:

Free Two-Day Shipping for College Students with Prime Student Free%20Two-Day%20Shipping%20for%20College%20Students%20with%20Amazon%20Student


Windows10ForDummiesVideo
Windows 10 For Dummies Video Training
Get up to speed with Windows 10 with this video training course from For Dummies. Learn more.
click to open popover

Editorial Reviews

Amazon.com Review

In The Data Warehouse Lifecycle Toolkit, authors Ralph Kimball, Laura Reeves, Margy Ross, and Warren Thornthwaite present a structure for undertaking the awesome 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

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
NO_CONTENT_IN_FEATURE

New York Times best sellers
Browse the New York Times best sellers in popular categories like Fiction, Nonfiction, Picture Books and more. See more

Product Details

  • Paperback: 800 pages
  • Publisher: Wiley (August 13, 1998)
  • Language: English
  • ISBN-10: 0471255475
  • ISBN-13: 978-0471255475
  • Product Dimensions: 7.5 x 1.7 x 9.3 inches
  • Shipping Weight: 2.6 pounds
  • Average Customer Review: 4.5 out of 5 stars  See all reviews (51 customer reviews)
  • Amazon Best Sellers Rank: #1,112,778 in Books (See Top 100 in Books)

Customer Reviews

Top Customer Reviews

Format: Paperback Verified Purchase
but were afraid to ask. This is the definitive book on the DW lifecycle. After having worked on two not-so-perfect data warehousing projects, I found myself on more than one occasion seeing in print many of the ideas that I have either arrived at by trial and error or had a hunch were the right way to go. I would have given this book five stars, except for one thing: you really need to have read Kimball's first book, The Data Warehouse Toolkit, to get the proper foundation for reading the DW Lifecylcle Toolkit. I bought the DW Lifecycle Toolkit first thinking that I could jump right ahead. Not so. Much to my chagrin, I ended up buying the DW Toolkit and reading it first. These books really should be offered with the option to be purchased together. That way, the reader will know up front that both books are a must read.
Comment 121 people found this helpful. Was this review helpful to you? Yes No Sending feedback...
Thank you for your feedback.
Sorry, we failed to record your vote. Please try again
Report abuse
Format: Paperback Verified Purchase
Not enough examples....they keep referring to other books. The book would've been awesome if it had more examples (specially designing star schema models and aggregations). I don't like to spend $40-50 each on two books just to get the examples and lot of the repeat information. The book companies and the authors are making more money by doing this, but they're not winning fans (Wiley books and Kimball)
Comment 29 people found this helpful. Was this review helpful to you? Yes No Sending feedback...
Thank you for your feedback.
Sorry, we failed to record your vote. Please try again
Report abuse
Format: Paperback
Our organization has implemented a very successful Data Warehouse, due largely to following the design and deployment principles from Dr. Kimball's two textbooks. The key to a successful Data Warehouse is providing all business users an easy to use and high performance queryable system. The dimensional design is, without a doubt, the defacto standard for Queryable Data Warehouses, and the author does a superb job motivating its use and explaining how to develop your integrated, dimensional data warehouse. In addition, the author gives valuable advice on many, many other aspects of the process, such as assessing your readiness for proceeding with a warehouse effort. This book is a "must read" for anyone involved in a Data Warehouse project. You will have an excellent chance of succeeding with even a most complicated Data Warehouse System if you follow the wisdom in this book.
Comment 27 people found this helpful. Was this review helpful to you? Yes No Sending feedback...
Thank you for your feedback.
Sorry, we failed to record your vote. Please try again
Report abuse
Format: Paperback
PROS
- Offers invaluable advice based on the authors' experience so that you don't need to re-invent the wheel or make the same mistakes they made (and subsequently learned from).
- Most useful for Project Managers/DBAs; less so for Data Modellers.
CONS
- I purchased this book on the assumption that it offered a comprehensive treatment of all stages of the Data Warehouse project lifecycle (as the cover would lead you to believe). However, it does not offer a comprehensive treatment of Dimensional Modelling. For this, the book actually assumes you have read Kimball's former book - "The Data Warehouse Toolkit - The Complete Guide to Dimensional Modeling" (which provides a full treatment and practical examples for several industry sectors).
- I did not like the writing-style. If the authors would have omitted all text like "we believe.." and "in our experience..." I'm sure the book wouldn't have used 800 pages.
CONCLUSION
This book has remained by my side throughout the project lifecycle, giving great guidance and pointers to help manage the project optimally.
However, if you are responsible for Data Modelling, you will also need to buy "The Data Warehouse Toolkit", thereby doubling the overall cost.
Comment 19 people found this helpful. Was this review helpful to you? Yes No Sending feedback...
Thank you for your feedback.
Sorry, we failed to record your vote. Please try again
Report abuse
Format: Paperback Verified Purchase
We were at a lose on how to proceed with putting together an historical database that would track 10,000 discrete survey items from over 800 surveys per year, including survey indications, and official estimates. The real problem was doing it such a way as to make it easy to use, understandable, and accessible to all of our data analysts. We read Inmon's book and decided it would be too complicated and slow if we used his approach. Besides, we wanted true ad-hoc capabilities, and did not want to be hampered by a system that had too little data, or was being controled by someone trying to save nickles on DASD by spending dollars of our time. Kimball's book gave us what we were looking for: a way to build a data warehouse incrementally, using and tracking the lowest level of granularity in our data, and offering simplicity and service without an army of IT consultants. His engineering approach to dimensional modeling, particularly his notion of conforming dimensions puts the traditionalists, like Inmon, out to pasture.
Comment 13 people found this helpful. Was this review helpful to you? Yes No Sending feedback...
Thank you for your feedback.
Sorry, we failed to record your vote. Please try again
Report abuse
Format: Paperback
I wish Kimball would get off his anti-relational & E/R kick. Yes star schema provides the most efficient and understandable design for datamarts, as people tend to think dimensionally and hierarchicly. But 'dimensional modelling' is just de-normalization for performance and understandability. If your staging area or ODS is not 3NF, you haven't a hope of resolving cross-deparmental issues and coming up with enterprise query capability. To balance Kimball's viewpoint you must read something like 'Data Stores, Data Warehousing and the Zachman Framework' as well.
1 Comment 30 people found this helpful. Was this review helpful to you? Yes No Sending feedback...
Thank you for your feedback.
Sorry, we failed to record your vote. Please try again
Report abuse
Format: Paperback
Ralph and his colleagues wrote a wonderful book about Data Warehousing. Ralph's objective is to make user happy. He want's to build intuitive and user-friendly Data Warehouses with a good performance and in this book he tells us how to succeed. He guides you through the Data Warehouse process form initialize interviews to design staging area and dimension models and lots more. I found this book to be the perfect answer to bringing myself up to speed. Not too technical -- but enough information to answer all the important questions which can occur in a Data Warehouse project Easy reading as well for people who native language is not english. Just read it and lets make users happy.
By the why: I would like to recommend this book to NCR's Rob Armstrong.
Comment 15 people found this helpful. Was this review helpful to you? Yes No Sending feedback...
Thank you for your feedback.
Sorry, we failed to record your vote. Please try again
Report abuse

Most Recent Customer Reviews