Customer Reviews

Data Quality: The Accuracy Dimension (The Morgan Kaufmann Series in Data Management Systems)

5 star:		(5)
4 star:		(0)
3 star:		(0)
2 star:		(1)
1 star:		(0)

 

 

This book is the clearest, most practical book on data profiling and data quality that I have seen. Jack breaks down data quality issues into specific categories, and leaves you with a vision of what to do if you are building a data warehouse. His practical experience shows through very clearly and he talks to the IT developer (the reader) very effectively.

This book is on my very short list of essential reading for data warehouse professionals.

Ralph Kimball
Data Warehouse Author

Concepts and technical approaches for analyzing and improving the usefullness of source data are presented in a well organized and logical sequence. Not quite a roadmap/algorithm for achieving data quality; it's balanced a little more on the conceptual side. The techniques and concepts presented are ones you _will_ want to begin using if you have any data quality issues in your source data (and who doesn't), I guarantee that. As a working ETL developer referencing disparate, low quality data, this book has had an impact on our approach, our results, and our project. Short and to the point, it's an easy study also!

Jack Olson coined the term "data profiling" and essentially founded this important new field in the area of data quality assessment. His revolutionary techniques, outlined in this book, can provide IT professionals with an important new set of tools for analyzing data quality. This is a must read for anyone working in the data quality field today. I also recommend it for people in related fields such as data warehousing, Enterprise Application Integration, and database design. With so many "me too" books in the computer field, it's a real joy to find a book that really does break new ground.

Far and away the best written, clearest, and easiest to follow book on the subject. If you only have time for one book on this subject , this is the only one you need. "Enterprise Knowledge Management" by Loshin is great, but more technical.

This book, while well intentioned, is not great for a small business audience. The book assumes you are working in a large scale environment where one person's job is to focus on data quality. If you wear more than one hat in your job many of the approaches are simply not practical in this book as their return on investment would not be worth the effort to implement.

This might be excellent for Fortune 500 companies, but for smaller shops this book will not push you very far solving problems on a day to day basis.

This book is the clearest, most practical book on data profiling and data quality that I have seen. Jack breaks down data quality issues into specific categories, and leaves you with a vision of what to do if you are building a data warehouse. His practical experience shows through very clearly and he talks to the IT developer (the reader) very effectively.

This book is on my very short list of essential reading for data warehouse professionals.