ISBN: 9783642362576
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… Mehr…
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ISBN: 9783642362576
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… Mehr…
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ISBN: 9783642362576
This multi-pronged approach to data quality management covers Organization: processes, policies and standards needed to set data quality objectives; Architecture: the technological landsc… Mehr…
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2013, ISBN: 9783642362576
Research and Practice, eBooks, eBook Download (PDF), Auflage, [PU: Springer-Verlag], [ED: 1], Springer-Verlag, 2013
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2013, ISBN: 9783642362576
Research and Practice, [ED: 1], Auflage, eBook Download (PDF), eBooks, [PU: Springer-Verlag]
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ISBN: 9783642362576
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… Mehr…
ISBN: 9783642362576
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… Mehr…
ISBN: 9783642362576
This multi-pronged approach to data quality management covers Organization: processes, policies and standards needed to set data quality objectives; Architecture: the technological landsc… Mehr…
2013, ISBN: 9783642362576
Research and Practice, eBooks, eBook Download (PDF), Auflage, [PU: Springer-Verlag], [ED: 1], Springer-Verlag, 2013
2013, ISBN: 9783642362576
Research and Practice, [ED: 1], Auflage, eBook Download (PDF), eBooks, [PU: Springer-Verlag]
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Detailangaben zum Buch - Handbook of Data Quality
EAN (ISBN-13): 9783642362576
ISBN (ISBN-10): 3642362575
Erscheinungsjahr: 2013
Herausgeber: Springer-Verlag
438 Seiten
Sprache: eng/Englisch
Buch in der Datenbank seit 2012-09-21T00:59:09+02:00 (Berlin)
Detailseite zuletzt geändert am 2024-01-15T18:10:13+01:00 (Berlin)
ISBN/EAN: 9783642362576
ISBN - alternative Schreibweisen:
3-642-36257-5, 978-3-642-36257-6
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: sad, sadiq, mukherji
Titel des Buches: data
Daten vom Verlag:
Autor/in: Shazia Sadiq
Titel: Handbook of Data Quality - Research and Practice
Verlag: Springer; Springer Berlin
438 Seiten
Erscheinungsjahr: 2013-08-13
Berlin; Heidelberg; DE
Sprache: Englisch
53,49 € (DE)
55,00 € (AT)
59,00 CHF (CH)
Available
XII, 438 p.
EA; E107; eBook; Nonbooks, PBS / 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; C; Database Management; Information Storage and Retrieval; IT Operations; Data Structures and Information Theory; Business IT Infrastructure; Computer Science; Informationsrückgewinnung, Information Retrieval; Data Warehousing; Wirtschaftsmathematik und -informatik, IT-Management; Algorithmen und Datenstrukturen; Informationstheorie; BB
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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