Data Warehousing in the Real World: A Practical Guide for Building Decision Support Systems

When I first opened this book I thought that it would not be as good as dimension modelling by Kimball, but as I progressed I found that this was not only good for newcomers but for people who have already started data warehousing. I thought that Sam Anahory and Dennis Murray displayed data warehousing clearly and presented it well. I think that anyone who doesn't like a book just because it doesn't tell them everything them want is in my opinion not ready to start data warehousing. I believe that this book is perfect for both a newcomer and someone who has already started.

Purchased Kimbal's book and this one. Found Data Warehousing in the Real World to be good at, not only demonstrating the conceptual pieces of a data warehouse, but also the integral technical and developmental aspects of data warehouse design. Kimbal's book drones on and on about this and that (business) senario, but is only useful if you are modeling that specific senario (and doesn't explain it very well either). Data Warehousing in the Real World goes way beyond modeling and talks about ETL, partitioning, aggregates and other issues in great detail. Recommend it.

The book covers all aspects of the DWH from extraction to designing star scheme (could have more detailled example -> see ralph kimballs book) to data marting. Very useful for newcomers (like myself) to set up a project and know what to do and what not to do. Estimates are nice, but be careful about them...