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

Jack E. Olson (Author)

Book Description

Publication Date: January 9, 2003 | ISBN-10: 1558608915 | ISBN-13: 978-1558608917 | Edition: 1

Data Quality: The Accuracy Dimension is about assessing the quality of corporate data and improving its accuracy using the data profiling method. Corporate data is increasingly important as companies continue to find new ways to use it. Likewise, improving the accuracy of data in information systems is fast becoming a major goal as companies realize how much it affects their bottom line. Data profiling is a new technology that supports and enhances the accuracy of databases throughout major IT shops. Jack Olson explains data profiling and shows how it fits into the larger picture of data quality.

* Provides an accessible, enjoyable introduction to the subject of data accuracy, peppered with real-world anecdotes.

* Provides a framework for data profiling with a discussion of analytical tools appropriate for assessing data accuracy.

* Is written by one of the original developers of data profiling technology.

* Is a must-read for any data management staff, IT management staff, and CIOs of companies with data assets.

Editorial Reviews

Review

"Jack Olson's contribution represents the superb blend of theory and guidance from a
master practitioner." - Peter Aiken

From the Back Cover

"I've been waiting for this book for more than 10 years....Jack Olson's contribution represents the superb blend of theory and guidance from a master practitioner and should be useful to those just starting in this exciting field as well as experienced practitioners."
- Peter Aiken, Ph.D., Institute for Data Research, Virginia Commonwealth University

Data Quality: The Accuracy Dimension is about assessing the quality of corporate data and improving its accuracy using the data profiling method. Corporate data is increasingly important as companies continue to find new ways to use it. Likewise, improving the accuracy of data in information systems is fast becoming a major goal as companies realize how much it affects their bottom line. Data profiling is a new technology that supports and enhances the accuracy of databases throughout major IT shops. Jack Olson explains data profiling and shows how it fits into the larger picture of data quality.

Features
* Provides an accessible, enjoyable introduction to the subject of data accuracy, peppered with real-world anecdotes.
* Provides a framework for data profiling with a discussion of analytical tools appropriate for assessing data accuracy.
* Is written by one of the original developers of data profiling technology.
* Is a must-read for any data management staff, IT management staff, and CIOs of companies with data assets.

See all Editorial Reviews

Product Details

• Paperback: 300 pages
• Publisher: Morgan Kaufmann; 1 edition (January 9, 2003)
• Language: English
• ISBN-10: 1558608915
• ISBN-13: 978-1558608917
• Product Dimensions: 8.7 x 6 x 0.7 inches
• Shipping Weight: 14.9 ounces (View shipping rates and policies)
• Average Customer Review: 4.5 out of 5 stars  See all reviews (6 customer reviews)
• Amazon Best Sellers Rank: #934,092 in Books (See Top 100 in Books)

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Customer Reviews

Most Helpful Customer Reviews

44 of 49 people found the following review helpful:

5.0 out of 5 stars Best Data Quality Book (repost), January 16, 2004

By 

Ralph Kimball (Boulder Creek, CA United States) - See all my reviews

This review is from: Data Quality: The Accuracy Dimension (The Morgan Kaufmann Series in Data Management Systems) (Paperback)

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

15 of 16 people found the following review helpful:

5.0 out of 5 stars Practical techniques that will have an impact on your ETL, September 28, 2004

By 

K. Ambrose (San Francisco, CA United States) - See all my reviews
(REAL NAME)   

This review is from: Data Quality: The Accuracy Dimension (The Morgan Kaufmann Series in Data Management Systems) (Paperback)

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!

9 of 10 people found the following review helpful:

5.0 out of 5 stars A groundbreaking book! The scoop on Data Profiling., September 8, 2004

By 

Shawn B. Wikle "wik" (Austin, TX) - See all my reviews
(REAL NAME)   

This review is from: Data Quality: The Accuracy Dimension (The Morgan Kaufmann Series in Data Management Systems) (Paperback)

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.