Synopsis
This multi-pronged approach to data quality management covers Organization: processes, policies and standards needed to set data quality objectives; Architecture: the technological landscape for deploying them and Computation: required tools and techniques.
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À propos de l?auteur
Shazia Sadiq is professor of computer science at the University of Queensland where she teaches and conducts research on information systems with a particular focus on business processes management, governance, risk and compliance, and data quality. Shazia is a keen advocate of cross-disciplinary and industry relevant research, and she has published her results in more than 100 scientific papers so far.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Handbook of Data Quality: Research and Practice
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Springer (edition 2013), 2013
ISBN 10 : 3642362567
ISBN 13 : 9783642362569
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Hardcover. Etat : Very Good. 2013. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting. N° de réf. du vendeur 3642362567-8-1
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Handbook of Data Quality: Research and Practice
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Handbook of Data Quality : Research and Practice
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Handbook of Data Quality : Research and Practice
Edité par
Springer, 2013
ISBN 10 : 3642362567
ISBN 13 : 9783642362569
Ancien ou d'occasion
Couverture rigide
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
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Etat : As New. Unread book in perfect condition. N° de réf. du vendeur 19559180
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Handbook of Data Quality: Research and Practice
Edité par
Springer, Heidelberg, 2013
ISBN 10 : 3642362567
ISBN 13 : 9783642362569
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Vendeur : Quickhatch Books, Ottawa, ON, Canada
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Hardcover. Etat : Very Good. xii, 438pp., index, figures, tables, references. Nearly as new. "Researchers and students of computer science, information systems, or business management as well as data professionals and practitioners will benefit most from this handbook by not only focusing on the various sections relevant to their research area or particular practical work, but by also studying chapters that they may initially consider not to be directly relevant to them, as there they will learn about new perspectives and approaches." Size: 8vo - over 7¾ - 9¾" tall. Book. N° de réf. du vendeur 011676
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Handbook of Data Quality: Research and Practice
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Handbook of Data Quality : Research and Practice
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
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Handbook of Data Quality
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Springer Berlin Heidelberg Mai 2013, 2013
ISBN 10 : 3642362567
ISBN 13 : 9783642362569
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The issue of data quality is as old as data itself. However, 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. On the other hand, data is now exposed at a much more strategic level e.g. through business intelligence systems, increasing manifold the stakes involved for individuals, corporations as well as government agencies. There, the lack of knowledge about data accuracy, currency or completeness can have erroneous and even catastrophic results.With these changes, traditional approaches to data management in general, and data quality control specifically, are challenged. There is an evident need to incorporate data quality considerations into the whole data cycle, encompassing managerial/governance as well as technical aspects.Data quality experts from research and industry agree that a unified framework for data quality management should bring together organizational, architectural and computational approaches. Accordingly, Sadiq structured this handbook in four parts: Part I is on organizational solutions, i.e. the development of data quality objectives for the organization, and the development of strategies to establish roles, processes, policies, and standards required to manage and ensure data quality. Part II, on architectural solutions, covers the technology landscape required to deploy developed data quality management processes, standards and policies. Part III, on computational solutions, presents effective and efficient tools and techniques related to record linkage, lineage and provenance, data uncertainty, and advanced integrity constraints. Finally, Part IV is devoted to case studies of successful data quality initiatives that highlight the various aspects of data quality in action. The individual 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.Researchers and students of computer science, information systems, or business management as well as data professionals and practitioners will benefit most from this handbook by not only focusing on the various sections relevant to their research area or particular practical work, but by also studying chapters that they may initially consider not to be directly relevant to them, as there they will learn about new perspectives and approaches. 452 pp. Englisch. N° de réf. du vendeur 9783642362569
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Handbook of Data Quality : Research and Practice
Edité par
Springer, 2013
ISBN 10 : 3642362567
ISBN 13 : 9783642362569
Ancien ou d'occasion
Couverture rigide
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
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Etat : As New. Unread book in perfect condition. N° de réf. du vendeur 19559180
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Handbook of Data Quality
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Etat : New. pp. 452. N° de réf. du vendeur 2697399148
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