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

Autor Jack E. Olson
en Limba Engleză Paperback – 8 ian 2003
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.
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Specificații

ISBN-13: 9781558608917
ISBN-10: 1558608915
Pagini: 312
Ilustrații: black & white illustrations
Dimensiuni: 152 x 229 x 17 mm
Greutate: 0.42 kg
Ediția:New.
Editura: ELSEVIER SCIENCE
Seria The Morgan Kaufmann Series in Data Management Systems


Public țintă

data quality practitioners, data analysts, business analysts, database administrators, data administrators, data stewards, data architects, and data modelers; IT management, CIO, CTO and CKO people and their staffs; graduate CS students in data mining classes, graduate b-school students in IT management courses

Cuprins

Preface. Acknowledgements. Forward. Part 1: Understanding Data Accuracy: The Data Quality Problem. Definition of Accurate Data. Sources of Inaccurate Data. Part 2: Implementing a Data Quality Assurance Program: Data Quality Assurance. Data Quality Issues Management. The Business Case for Accurate Data. Part 3: Data Profiling Technology: Data Profiling Overview. Column Property Analysis. Structure Analysis. Single Data Rule Analysis. Complex Object Data Rule Analysis. Value Rule Analysis. Summary. Appendixes : Example of Column Properties, Data Structure, Data Rules and Value Rules. Content of Data Profiling Repository. Bibliography. Index.

Recenzii

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