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Data Quality: The Accuracy Dimension Paperback – Dec 26 2002


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Product Details

  • Paperback: 300 pages
  • Publisher: Morgan Kaufmann; 1 edition (Dec 26 2002)
  • Language: English
  • ISBN-10: 1558608915
  • ISBN-13: 978-1558608917
  • Product Dimensions: 1.6 x 15.9 x 22.4 cm
  • Shipping Weight: 422 g
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (3 customer reviews)
  • Amazon Bestsellers Rank: #390,296 in Books (See Top 100 in Books)
  • See Complete Table of Contents


Inside This Book (Learn More)
First Sentence
Accurate data is a fundamental requirement of good information systems. Read the first page
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6 of 6 people found the following review helpful By Ralph Kimball on Jan. 16 2004
Format: 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
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2 of 2 people found the following review helpful By Ralph Kimball, Data Warehouse Author on Jan. 7 2004
Format: 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.
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Format: Paperback
The bible on data profiling to address accuracy issues from the inside out (metadata on rows, columns and tables) in contrast to the traditional and passive approaches that are based on the outside in (customer complaints, returned merchandises and the likes).

In his book, Olson also explains why stagnant data and data in motion are targets for quality issues. Finally, I enjoyed the nuances on accuracy between Olson and Michael H Brackett's book - Data Resource Quality. Orthogonal approaches and sound logic in both cases.
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Most Helpful Customer Reviews on Amazon.com (beta)

Amazon.com: 7 reviews
48 of 53 people found the following review helpful
Best Data Quality Book (repost) Jan. 16 2004
By Ralph Kimball - Published on Amazon.com
Format: 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
16 of 17 people found the following review helpful
Practical techniques that will have an impact on your ETL Sept. 28 2004
By K. Ambrose - Published on Amazon.com
Format: 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
A groundbreaking book! The scoop on Data Profiling. Sept. 8 2004
By Shawn B. Wikle - Published on Amazon.com
Format: 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.
Great book Jan. 29 2013
By aussiejim - Published on Amazon.com
Format: Kindle Edition Verified Purchase
Some examples a little dated but overall provides a holistic and comprehensive education on data quality and the use of tools.
1 of 2 people found the following review helpful
If you can only read one book on the subject.... Jan. 29 2007
By MLLombard - Published on Amazon.com
Format: Paperback Verified Purchase
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.

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