Handbook of Data Quality

Handbook of Data Quality

Research and Practice

eBook - 2013
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The proliferation of diverse, large-scale and often publically available data on the Web has increased the risk of poor data quality and misleading data interpretations. Data is now exposed at a much more strategic level (e.g. through business intelligence systems) increasing manifold the stakes involved for individuals and corporations as well as government agencies where the lack of knowledge about data accuracy, currency or completeness can have erroneous and even catastrophic results. Sadiq structured this handbook in four parts: organizational solutions; architectural solutions; computational solutions; and case studies of successful data quality initiatives that highlight the various aspects of data quality in action. Chapters present both an overview of the respective topic in terms of historical research and/or practice and state of the art, as well as specific techniques, methodologies and frameworks developed by the individual contributors. --
Publisher: Heidelberg : Springer, [2013]
Copyright Date: ©2013
ISBN: 9783642362576
9783642362569
Characteristics: 1 online resource : illustrations
Additional Contributors: Berti-Équille, Laure
Sadiq, Shazia

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