Rating: 
Summary: A very good introduction into dimensional modeling
Review: If you are going to do data warehousing, especialy if you are a data modeler or a data warehouse architect, this book is for you. The author is a well known data warehouse practitioner, so he has a lot to say about those modeling techniques. But, please, pay attention to the fact that a coin has to sides and with data warehousing it is so. Make sure you get one of those books by Bill Inmon or one of his supporters to understand completely what data warehousing is about. As far as this book is concerned, it is very concise, full of terms and design tips. You will enjoy reading it and putting the knowledge into practice. I put it on my Data Warehouse Architect's list as a must have.
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Summary: THE Data Warehouse Book
Review: If you attempt a data warehouse without reading this book (or already having mastered the information in this book), you are creating alot of extra work for yourself. I have built numerous large data warehouses over the past 5 years, and this book is still THE BOOK to me. My first copy is so dog eared and beat up from referring to it, that I had to get a second copy to look good on the shelf at the office.
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Summary: Data Warehouses Designers : Save yourself bundles of pain!!
Review: If you have not read this book, you probably don't know what the technical conceptual framework of a data warehouse truly is. The knowledge in this book will save you from great pains and delays. Ralph Kimball is the undisputed expert of data warehousing.
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Summary: An execllent book on Dimensional Data Warehouse Modeling
Review: Kimball has done an excellent job by writing this book. You don't require any mentionable knowledge about data warehousing or dimensional modeling to completely comprehend this book. He has explained all of the concepts of Dimensional Data Warehouse with the help of real-life examples. Perhaps that makes this book so unique and pragmatic.It is easy to read and also chapters are well arranged to gain a very systematic progression of the subject. All the concepts are explained and postulated in the context of some examples. So don't plan to skip any chapters. That doesn't work with this book. I would recommend this book, to anybody who wants to practice DDW, as the first book to be read on the subject to gain most. Because of its entirely example-based approach, the book may not be of much use in an exclusive conceptual/academic perspective. The only omission I have noticed in this book is, it doesn't speak much about data extraction complexities. Even though Kimball dedicates a few pages towards the end of the book for this purpose, it is largely insufficient and gives no worthful advice to a practioner of data extraction process. So if you are looking for a solution to your data extract nightmare, this book is of little use.
Rating:
Summary: "The Book" to understand Dimensional Modeling
Review: Mr. Kimball might not have invented Dimensional Modeling, but he has done all the hard work related to it. He has supported dimensional modeling with lots of useful tools that let you address technical issues with real arguments; relational modelers usually present a lot of arguments against Dimensional Modeling that show they have either not read this book, or not understand it!
Rating:
Summary: "The Book" to understand Dimensional Modeling
Review: Mr. Kimball might not have invented Dimensional Modeling, but he has done all the hard work related to it. He has supported dimensional modeling with lots of useful tools that let you address technical issues with real arguments; relational modelers usually present a lot of arguments against Dimensional Modeling that show they have either not read this book, or not understand it!
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Summary: If you only buy one book on DW, buy this.
Review: Ralph Kimball has probably designed and built more data warehouses than most of the authors in this space combined. The principles he collects here are invaluable to those faced with the task of designing their own warehouses. Even if you have built many OLTP databases, read this before you make the mistake of assuming that databases designed for querying are the same.
Rating: 
Summary: Half baked, but nicely written
Review: So, if web-genius Philip Greenspun recommends this book, it has to be great, right? This book mostly appeals to pointy hair bosses looking for more technospeak to add to their mouse-sized vocabulary. Paradigm shift? NOT.
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Summary: The perfect blend of business & technology
Review: Structured, organized and comprehensive; a great guide for anybody who wants to understand the 'what how and if' in Business Intelligence. I had no hesitations to order The lifecycle toolkit & Data webhouse toolkit.
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Summary: A must read
Review: The real life implementation examples for different types of Data Warehouses from simple to the more complex, make this book one the better of the Data Warehousing books. Kimball is an leading authority in Data Warehouses since its beginnings, and the explanations and examples are very easy to understand. I took a Master's course in Data Warehousing and read Kimball's book and Ponniah's book(Data Warehousing fundamentals). Kimball's book was the better book of the two in how useful it was and easier to understand. The version I bought had a program to run reports based on the Data Warehouse structure for each type of example. It is an antiquated program (DOS based), but it is useful in learning and helps implement some actual Data Warehousing concepts. The program needs to be installed through the command line interface of the newer versions of Windows (2000 and XP).
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