2013, ISBN: 3642362567
[EAN: 9783642362569], Neubuch, [SC: 0.0], [PU: Springer Berlin Heidelberg], DATENVERARBEITUNG / INFORMATIONSMANAGEMENT; DATAGOVERNANCE; DATAINTEGRATION; DATAPROVENANCE; DATAQUALITY; DATAW… mais…
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2013, ISBN: 3642362567
This multi-pronged approach to data quality management covers Organization: processes, policies and standards needed to set data quality objectives; Architecture: the technological landsc… mais…
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2013, ISBN: 3642362567
[EAN: 9783642362569], Neubuch, [SC: 0.0], [PU: Springer Berlin Heidelberg], DATENVERARBEITUNG / INFORMATIONSMANAGEMENT; DATAGOVERNANCE; DATAINTEGRATION; DATAPROVENANCE; DATAQUALITY; DATAW… mais…
ISBN: 9783642362569
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 q… mais…
Handbook of Data Quality / Research and Practice / Shazia Sadiq / Buch / HC runder Rücken kaschiert / XII / Englisch / 2013 / Springer-Verlag GmbH / EAN 9783642362569 - encadernada, livro de bolso
2013
ISBN: 9783642362569
[ED: Gebunden], [PU: Springer-Verlag GmbH], The issue of data quality is as old as data itself. However, the proliferation of diverse, large-scale and often publically available data on t… mais…
2013, ISBN: 3642362567
This multi-pronged approach to data quality management covers Organization: processes, policies and standards needed to set data quality objectives; Architecture: the technological landsc… mais…
2013, ISBN: 3642362567
[EAN: 9783642362569], Nouveau livre, [SC: 3.42], [PU: Springer], PRINT ON DEMAND Book; New; Fast Shipping from the UK., Books
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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.
Dados detalhados do livro - Handbook of Data Quality
EAN (ISBN-13): 9783642362569
ISBN (ISBN-10): 3642362567
Livro de capa dura
Ano de publicação: 2013
Editor/Editora: Springer Berlin
420 Páginas
Peso: 0,808 kg
Língua: Englisch
Livro na base de dados desde 2009-10-06T04:39:18-03:00 (Sao Paulo)
Página de detalhes modificada pela última vez em 2024-01-15T14:10:02-03:00 (Sao Paulo)
Número ISBN/EAN: 9783642362569
Número ISBN - Ortografia alternativa:
3-642-36256-7, 978-3-642-36256-9
Ortografia alternativa e termos de pesquisa relacionados:
Autor do livro: sad, sadiq
Título do livro: handbook research
Dados da editora
Autor: Shazia Sadiq
Título: Handbook of Data Quality - Research and Practice
Editora: Springer; Springer Berlin
438 Páginas
Ano de publicação: 2013-05-23
Berlin; Heidelberg; DE
Impresso / Feito em
Língua: Inglês
53,49 € (DE)
54,99 € (AT)
59,00 CHF (CH)
POD
XII, 438 p.
BB; Hardcover, Softcover / Informatik, EDV/Informatik; Datenbanken; Verstehen; data governance; data integration; data provenance; data quality; data warehouses; database management; duplicate detection; entity resolution; information quality; records management; Database Management; Information Storage and Retrieval; IT Operations; Data Structures and Information Theory; Business IT Infrastructure; Informationsrückgewinnung, Information Retrieval; Data Warehousing; Wirtschaftsmathematik und -informatik, IT-Management; Algorithmen und Datenstrukturen; Informationstheorie; EA; BC; BA
Research and Practice in Data Quality Management.- Data Quality Management Past, Present, and Future: Towards a Management System for Data.- Data Quality Projects and Programs.- On the Evolution of Data Governance in Firms: The Case of Johnson & Johnson Consumer Products North America.- Cost and Value Management for Data Quality.- Data Warehouse Quality: Summary and Outlook.- Using Semantic Web Technologies for Data Quality Management.- Data Glitches: Monsters in your Data.- Generic and Declarative Approaches to Data Quality Management.- Linking Records in Complex Context.- A Practical Guide to Entity Resolution with OYSTER.- Managing Quality of Probabilistic Databases.- Data Fusion: Resolving Conflicts from Multiple Sources.- Ensuring the Quality of Health Information: The Canadian Experience.- Shell’s Global Data Quality Journey.- Creating an Information Centric Organisation Culture at SBI General Insurance.- Epilogue: The Data Quality Profession.Presents a comprehensive framework based on organizational, architectural, and computational techniques and solutions Includes a separate section devoted to successful data quality approaches in industry Combines contributions from leading researchers, recognized industry thought leaders, and experienced practitioners Includes supplementary material: sn.pub/extras
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