Rating: 
Summary: The ultimate guide to data warehouses!
Review: "A comprehensive, thoughtful, and detailed book thatwill be of inestimable value to anyone struggling with the complexdetails of designing, building, and maintaining an enterprise-wide decision support system. Highly recommended."
-Robert S. Craig, Vice President, Application Architectures, Hurwitz Group, Inc.
A complete blueprint for planning, designing, developing, deploying, and growing high-performance data marts and data warehouses
In his bestselling book, "The Data Warehouse Toolkit", Ralph Kimball showed you how to use dimensional modeling to design effective and usable data warehouses. Now, he carries these techniques to the larger issues of delivering complete data marts and data warehouses. Drawing upon their experiences with numerous data warehouse implementations, he and his co-authors show you all the practical details involved in planning, designing, developing, deploying, and growing data warehouses. Important topics include: · The Business Dimensional Lifecycle approach to data warehouse project planning and management
· Techniques for gathering requirements more effectively and efficiently
· Advanced dimensional modeling techniques to capture the most complex business rules
· The Data Warehouse Bus Architecture and other approaches for integrating data marts into super-flexible data warehouses
· Techniques for minimizing the risks involved with data staging
· A framework for creating your technical architecture
· Aggregations and other effective ways to boost data warehouse performance
· Cutting-edge, Internet-based data warehouse security techniques The CD-ROM supplies you with:
· Complete data warehouse project plan tasks and responsibilities
· A set of sample models that demonstrate the Bus ArchitectureTM
· Blank versions of the templates and tools described in the book
· Checklists to use at key points in the project
RALPH KIMBALL has been a leading visionary in the data warehouse industry since 1982 and is one of today's most well-known speakers, consultants, and teachers internationally on data warehousing. He writes the "Data Warehouse Architecture" column for DBMS Magazine. Dr. Kimball's co-authors have each founded their own very successful data warehouse consulting firms: Laura Reeves of StarSoft Solutions, Margy Ross of DecisionWorks, and Warren Thornthwaite of InfoDynamics.
Rating: 
Summary: The Data Warehouse Bible
Review: A great "How To" book. I personally implemented lot of techniques mentioned in this book. Though many of the star schema designs were same as it is found in "The data warehouse toolkit" .. the implementation ideas are simply great. A good book for both novice and professionals.
Rating: 
Summary: An essential compendium
Review: A practical guide to data warehousing.
Rating:
Summary: Finally, an intelligent development book rooted in reality
Review: After 21 years in software development, which includes managing three data warehouse projects, I had decided to write a book trying to capture whatever wisdom I had accumulated. After reading this book I no longer feel the need to. This book not only provides detailed techniques for building a data warehouse and managing the process, it also deals with the realities faced in these projects. If you've ever been frustrated with those abstract tomes written by strict methodologists while you were burdened with a tight budget, a dysfunctional company (is that redundant?), immature technology, underskilled technologists and waffling user support -- then this is the book for you. It is filled with recommendations for conducting every phase of the project, yet is always careful to acknowledge that no two projects are alike and there is no one guaranteed blueprint for managing the project. My only regret is that this book wasn't available before my first data warehouse projects. Although our teams ended up at many of the same conclusions, it was only after a lot of hard thought, insecurity, and trial and error. If you are going to develop a data warehouse or a data mart, read this book first.
Rating:
Summary: Comprehensive and well written
Review: An excellent methodology! As a relational database developer, it was extremely helpful. I impressed my employer by presenting many fo the book's idea and used to information to create data models for a proposal.
Rating:
Summary: Atlast a good book on Data warehouse
Review: Before buying this book i consulted a lot of folks in my team and friends and every body gave 5 star for this book. so i decided to buy the book and see it for my self and indeed what i heard was correct. Every step in data warehouse is explained very well and this is good book for every body. everything is explained in detail.
Rating:
Summary: Everything you ever wanted to know about DW ....
Review: 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.
Rating:
Summary: Excelent Book for data warehouse designers
Review: Excelent book ! I found very usefull the book, there are many tips and concepts. I recomend to the author include more examples in special cases in order to reforce the idea.
Rating:
Summary: Wide, complete, and a bit heavy
Review: Following the path of the previous publication, The DWH Toolkit, the authors devote a large effort about dimensional modeling, but help keeping bound to it, and face wider subjects and issues. The structure underlying chapters, based on a project lifecycle, is very interesting, and surely quite useful to people involved in dwh projects. In spite of many criticisms that have been addressed to Kimball's methods, I believe that this book has a general validity, and can apply, in some ways, to any sort of dwh you are to implement, even if that is not a handbook to fix specific technical issues. It can be also a good textbook to improve general culture about the subject, but in this case I should advise to read it together with The DWH Toolkit, unless you have yet a strong background about dimensional analysis. References to hints and instances add a pleasing value , and avoid too high abstraction. Just a remark: similarly to the previously mentioned book by the same author, the weight of the whole explanation is significantly increased by the inflated language, which many times makes a thorough understanding of the text a bit more hard than the actual complexity of the subject.
Rating:
Summary: Great overview of data warehousing techniques
Review: Great book, actually a very good crash course in data warehousing. A bit dense, but covers most of the bases. One huge shortcoming though: no glossary! Throws a lot of terms around, the definitions of which are scattered throughout the book.
| 
