7/16/2012

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

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

(More customer reviews)
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

Click Here to see more reviews about: Data Quality: The Accuracy Dimension (The Morgan Kaufmann Series in Data Management Systems)

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.

Buy NowGet 19% OFF

Click here for more information about Data Quality: The Accuracy Dimension (The Morgan Kaufmann Series in Data Management Systems)

No comments:

Post a Comment