Reading: Data Quality Assessment

website@infoadvisors.com — Thu, 14 Feb 2008 22:45:58 GMT

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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".

Karen Lopez: Musings on Data, Process, and Architecture

Reading: Data Quality Assessment