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Welcome to InfoAdvisors' website dedicated to information technology processes. You'll find subscriber-written articles on UML, data management, data modeling, process modeling, ITIL, information governance, as well as materials to help you improve your information management resources.
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Feb
14
Written by:
Karen Lopez
Thursday, February 14, 2008 5:45 PM
I've just started reading Data Quality Assessment by Arkady Maydanchik. From the back cover blurb: DATA QUALITY ASSESSMENT is a must read for anyone who needs to understand, correct, or prevent data quality issues in their organization. Skipping theory and focusing purely on what is practical and what works, this text contains a proven approach to identifying, warehousing, and analyzing data errors. Master techniques in data profiling and gathering metadata, designing data quality rules, organizing rule and error catalogues, and constructing the dimensional data quality scorecard. Sounds intriguing. I'm a fan of theory though, because I think it helps professionals better react to real world situations, so I'll have to see what the publisher means by "skipping theory".
Tags:
Re: Reading: Data Quality Assessment
As Date is fond of saying: there's nothing so practical as a good theory.
By Jim Gawn on
Wednesday, April 09, 2008 11:42 AM
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Re: Reading: Data Quality Assessment
Karen:I am the author of the book. I am very curious about your opinion after reading the book. I am writing the second book now and appreciate any feedback. If you like, you can e-mail me at mail @ dataqualitygroup.com.Thanks,Arkady
By Arkady Maydanchik on
Wednesday, April 09, 2008 11:43 AM
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