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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
--This text refers to an out of print or unavailable edition of this title.
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
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
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Customer Reviews
Most Helpful Customer Reviews
17 of 17 people found the following review helpful
Format:Paperback
I have had this book for a while now, dipping in to useful parts now and again without having had the time to read it from cover to cover.
However, recently I have been able to read it from start to finish and I wish I had done so sooner.
However, recently I have been able to read it from start to finish and I wish I had done so sooner.
The book covers the 'how to' of data warehousing, but the thing that makes the book excellent is that it places this information in the context of the lifecycle of typical data warehouse projects.
The book is long... very long. But everyone on data warehousing projects should read this book, if only to encourage a common mindset. The examples and templates are also very useful.
14 of 15 people found the following review helpful
Format:Paperback
This is quite a good book but it is too management-like for me.
It covers the whole data-warehouse process including business requirement gathering and project management.
If you want a more technically orrientated book that covers the all important modelling aspects, Kimballs other book "The data warehoue toolkit - the complete guide to dimensional modelling" is much much better.
I can't help thinking that Kimball et al wrote this book after that modelling one in an attempt to cash in on the sucess of the modelling book.
In summary, if you're a technician buy the modelling book - if you're a manager who wants an overview, buy this one.
It covers the whole data-warehouse process including business requirement gathering and project management.
If you want a more technically orrientated book that covers the all important modelling aspects, Kimballs other book "The data warehoue toolkit - the complete guide to dimensional modelling" is much much better.
I can't help thinking that Kimball et al wrote this book after that modelling one in an attempt to cash in on the sucess of the modelling book.
In summary, if you're a technician buy the modelling book - if you're a manager who wants an overview, buy this one.
21 of 25 people found the following review helpful
Format:Paperback
If you don't have this book, and you are involved in any way with a data warehouse project, buy it now and read it from cover to cover.
This is the best book on data warehousing ever written.
The book contains everything you need to know to build a data warehouse, from project management thru to support and implementation.
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Most Recent Customer Reviews
How to avoid a big white elephant
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... Read more
It is a complete blueprint of how to run a DW project that is actually going to deliver... Read more
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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... Read more
Published on 17 May 2010 by S. Siddhanta
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The first thing to remember os that Kimball does not have the ONLY way of building data warehouses. In fact I have a personal preference for the Inmon style of construction. Read more
Published on 6 Jan 2010 by M. Sear
Nice piece on Data Warehouse Clarity
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... Read more
Published on 27 Nov 2009 by Sholly
Kimball Group - read this to boost your skills and career!
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... Read more
Published on 5 April 2009 by Robin Everson
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