Customer Reviews

Data Warehousing, Data Mining, and OLAP (Data Warehousing/Data Management)

5 star:		(5)
4 star:		(1)
3 star:		(2)
2 star:		(1)
1 star:		(1)

 

 

If you are an IT professional with a good breadth of knowledge about the structure of enterprise data, systems and statistics, yet you are not sure what Data Warehousing, Data Mining or OLAP are, and are not even sure you know how to spell them, then this book is for you. (Rather limited audience if you ask me)

For the technically savvy, this book is excellent in covering, in minute detail, all of the possible needs, uses and commercial systems/products available to do Data Warehousing, Data Mining and/or OLAP. The tremendous amount of possibilities naturally causes this volume to lack the depth to actually guide a reader to an understanding of how they can implement these concepts. I do complement the author in possessing/researching such a tremendous amount of material. A downside is the fact that this book is instantly outdated because it is describing current technology (As of the writing of this book).

For non-technical Management and Executives however, this book will likely only confuse you to death and cause you to frown vehemently at the next person who recommends a Data Warehousing or OLAP strategy for your organization.

If you fit the profile that should read this book however, this is a great primer/eye opener to a rather large subject area called Enterprise Intelligence. Break out your reading glasses, (the print is small) set aside a good chunk of time, (the book is huge) and read it. Then find the suitable follow-up books that are in line with your new interests with Enterprise Intelligence. Keep a narrow focus when picking one of these. If you are a manager or executive, hire a team. This is a lot of stuff, and the need for this stuff is so painfully apparent that your business can not wait 4 years for you to learn this stuff.

Despite the size of this book, no in-depth details are given about Data Warehousing or OLAP. Product evaluations are minimal to the point of being useless. (OLAP product descriptions include Powerplay , but not Essbase or Express.) The data mining chapters are useful, but other books contain much more detail.

I would recommend sticking to books dedicated to single topics such as Kimball's "Datawarehouse Toolkit" and Thomsen's "OLAP Solutions"

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.

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.

If new to the domain of Business Intelligence/Data Warehousing, this book will provide a better than average job of arming you with enough technical information to make you dangerous in your "new territory". However, if you're seeking more depth in any of the title's areas or are looking for something "less-technical" (e.g., more of a business justification), other books would serve as a better reference. Nonetheless, for its broad coverage, this book is a good addition to any BI/DW practitioner's technical library.

A very thorough treatise on data mining. If combined with a book about the data side of things (e.g., Pyles "Data Preparation for Data Mining"), you would cover the entire subject.

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.

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.

Despite the size of this book, no in-depth details are give