Rating: 
Summary: I wish Ralph Kimball had written this book earlier ...
Review: His first book, The Data Warehouse Toolkit, reads like an abstract to this one. I am close to the end of my data warehouse project and I have figured out most of the secrets myself, but I find The Data Warehouse Lifecycle Toolkit of even greater value now that I actually understand it. It is concise, maybe a little too complete - it even covers interviewing techniques - and summarizes everything I have read during the last couple of month in various database journals about data warehousing. Here is everything you need to know about managing the development project, designing, implementing and running a data warehouse.
Rating:
Summary: datawarehousing applicantion
Review: i didn't no about datawarehousing i wants that information. that way only i am searching that inforamtion.
Rating: 
Summary: Too much of nothing
Review: I found the book too big with too much of useless text. You will go through pages and pages wondering where is the
substance? The CD attached to the book is of no value.
The same author has a much better book ('The Data Warehouse Toolkit"), which has no CD but a lot fewer pages and
much more substance.
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Summary: looks good!!!
Review: I haven't read this book yet, but I am thinking about buying it. I guess you could call this a pre-review. I will write another one when I have actually read the book. I hope this helps those of you thinking about buying the book in making your decision.
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Summary: The best book for DW project manager
Review: I must say - this is number 1 for DW project manager. I wish i had this book for 3 years, then my success in this field could be much, much bigger. But anyway, i will recommend for new project managers only this one. I have lot of DW book at home, but there is no better choice.
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Summary: The perfect blend of content and readability
Review: I read Kimball's first book and I had trouble grasping the concepts. This time around he made it much more accessible and placed more of a general business context around it. There were so many little 'hints' or 'words of advice' that I could really relate to. This book was so helpful we bought four copies for our warehouse team and still fight over those copies. We have adopted their project template as an informal baseline. This belongs in every cubicle where even the discussion of a data warehouse goes on.
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Summary: Best book on the subject? Close but ...
Review: 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. This is the best guide to dimensional de-normalization, which is one of the keys to successful DW. But if the staging area or ODS is not 3NF, there isn't a hope of resolving cross-deparmental issues and coming up with enterprise query capability. To balance Kimball's viewpoint it's best to read something like 'Data Stores, Data Warehousing and the Zachman Framework' as well.
Rating:
Summary: Excelent
Review: I've been involved in a DW project and began searching books about DW. I take a lot of time to find this , and finaly think that I no made a mistake. It covers all aspects of DW with samples and recomendations. It's the best in that topic.
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Summary: Great book to introduce readers to Data Warehousing
Review: It can be difficult garnering support to implement a DW or DM project across an organization. This is a great book to distribute in the company before brainstorming on the project. Ralph Kimball has excellent suggestions for steps in the implementation process. It is not too technical and this is very helpful for colleagues in other departments that will be politically supporting the project.
Rating:
Summary: Excellent guide for your first warehouse implementation
Review: My experience has been in project management and data modeling. This book was an excellent source of information for project management issues, lifecycle concerns and warehousing particulars. With a background in logical data modeling (with its normalization and entity-focused approach), I was able to utilize this book very effectively in the implementation of my first "true" data warehouse (as opposed to the "faux" warehouses that the customer labeled as such simply because of the large number of entities in the RDBMS). The conceptual difference between logical modeling and data warehousing was well explained, with numerous pertinent examples. The full SDLC for the warehouse is covered equally as well. A note on my "4-star" rating: I'm reserving 5 stars for the book I write! This book is a good value.
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