Data Warehousing: Architecture and Technology

This book is not a common Data Mining/Data Warehousing book. It has the objective of being a complete handbook, and it is successful in its aim. It gives the readers a good background that helps in answering the common questions a practitioner has. To summarise: the authors of the book managed to describe the whole subject area, that is not so easy to find in other books on these topics. To achieve that knowledge we should read many other publications from different areas.

I read this book a couple of years ago, then found it useful again recently when my work re-involves building data warehouses. This book has clear coverage on many topics in database and data warehouse. Authors often include descriptions of technologies as well as the motivation of using such technologies.This is not a book that walks you step by step to implementations, but it is a book that will help you understand the technologies. Step by step guides are product specific, and extremely lacking in this area.

As some one who makes a living doing OLAP development, I thought the Author does a great job explaining the similarities and differences between OLAP and relational analysis. An emphasis is DW and DM was obviously present. So not the best OLAP book but maybe the best (or one of) in total architecture.

A good introduction to some of the more interesting topics in information technology today. I learned a lot. But I do agree with a previous poster (who seems to be posting multiple times -- maybe they are a competing author?) that this book doesn't cover the implementation details. Since that wasn't what I was looking for, I found the book quite useful.

Great book. The authors did a really good job showing how data mining and OLAP can work together to create a BI (Business Intelligence) system. Differs from other books I have seen by pulling a lot of different technologies together to show the big picture.