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Rating: 
Summary: Review
Review: I found this book very interesting, especially for what concerns JAD and RAD iterative process. Excellent explanation of different data mining systems such as neural network and decision trees. I like the idea of showing examples based upon commercial products such as Decision Net or Red Brick. A good book. Every project manager involved in data warehousing projects should read it.
Rating:
Summary: Good Book
Review: I've teach Data Warehousing for a local University and have reviewed several data warehouseing books. This one describes Data Warehousing, the process of planning, building and implementing a DW that is well versed and understood easily. I have adopted this book for my course because it is very concise in its descriptions and easily read.
Rating: 
Summary: Written for personal exposure not educating
Review: It seems that some characteristics of data warehouse systems and operational systems in table 1-1 on page 14 are misplaced. For example, Subject oriented should be characteristic of data warehouse rather than operational systems. In my opinion, table 1-1 is very important because it shows distinguishing characteristics of each system type.
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Summary: An excellent book filled with usefull information
Review: Only one word is needed to describe Mr. Sperley's book, The Enterprise Data Warehouse, Volume 1, and that is OUTSTANDING. This very readable book "grabbed" my attention from the beginning and I found it difficult to put it book down. This is definitely not another dry technical tome.The illustrations are excellent and well thought out. Brief reviews of earlier systems stimulate and hold our interest. The author builds his thesis on constructing a data warehouse using a methodology called joint application development (JAD). JAD is a team oriented approach to incorporating the Information Technology (IT) organization into the business community in a natural way. Used in conjunction with the spiral model of rapid application development (RAD) and its time boxing resource control and iterative processes, JAD provides a methodology that supports the critical definition of the executive vision and organization with valuable decision making information. The section on selections of data models and tools provides an excellent resource for defining data warehouse design requirement. The weak point of the book is its very limited Glossary. A book filled with a multitude of acronyms, although well defined as they are throughout the book, should be contained in the Glossary. In conclusion, I would highly recommend this book to anyone interested in the planning, building, and implementation of an enterprise data warehouse. In addition, I would strongly consider purchasing the companion Volume Two of this very readable book. Book Reviewer, William R Jennings
Rating:
Summary: It lacks creativity and wallows
Review: Personally, I think the book is a worthless bunch of...crud that was obviously written by more that one person causing a distinct lack of cohesion. I don't think there is an original thought in the book. The author seems pious in his presentation.
Rating:
Summary: Written for personal exposure not educating
Review: The book stated a purpose, but didnt' follow through, and floundered in several areas. Neural networking seemed weak. The whole thing seemed disjointed like it was written by more than one person or pulled from several books and was being pushed out the door to make the author look knowledgeable (guruesque). It did not seem the purpose was to help the reader. Pompous. Whatever happened to volume II? I've read much better books by Inmon that seemed to have a better grasp of the overall picture of data warehousing, it's purpose and increasing complexity.
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