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  • Data Quality: The Accuracy Dimension

    Data Quality by Olson, Jack E.;

    The Accuracy Dimension

    Series: The Morgan Kaufmann Series in Data Management Systems;

      • GET 20% OFF

      • The discount is only available for 'Alert of Favourite Topics' newsletter recipients.
      • Publisher's listprice EUR 53.95
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        22 885 Ft (21 795 Ft + 5% VAT)
      • Discount 20% (cc. 4 577 Ft off)
      • Discounted price 18 308 Ft (17 436 Ft + 5% VAT)

    22 885 Ft

    db

    Availability

    printed on demand

    Why don't you give exact delivery time?

    Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.

    Long description:

    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.

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    Table of Contents:

    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.

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