. .
Français
France
Livres similaires
Autres livres qui pourraient ressembler au livre recherché:
Outils de recherche
s'inscrire

Connectez-vous avec Facebook:

S'inscrire
Mot de passe oublié?


Historique de recherche
Liste pense-bête
Liens vers eurolivre.fr

Partager ce livre sur…
Livre conseillé
Actualités
Conseils d'eurolivre.fr
Publicité
FILTRE
- 0 Résultats
prix le plus bas: 99,99 €, prix le plus élevé: 107,00 €, prix moyen: 105,59 €
Handbook of Data Quality - Springer
Livre non disponible
(*)
Springer:

Handbook of Data Quality - nouveau livre

ISBN: 9783642362569

ID: af5f5dd0e920d9a613efca7f9e0455d3

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. The issue of data quality is as old as data itself. Further, the proliferation of quite diverse (e.g. in terms of structure or media type) shared or public data on the Web has increased the risk of poor data quality and false data aggregation. 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 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 IT tools and techniques related to record linkage, lineage and provenance, data uncertainty, and semantic 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. Bücher / Fremdsprachige Bücher / Englische Bücher 978-3-642-36256-9, Springer

Nouveaux livres Buch.de
Nr. 34255574 Frais d'envoiBücher und alle Bestellungen die ein Buch enthalten sind versandkostenfrei, sonstige Bestellungen innerhalb Deutschland EUR 3,-, ab EUR 20,- kostenlos, Bürobedarf EUR 4,50, kostenlos ab EUR 45,-, Sofort lieferbar, DE. (EUR 0.00)
Details...
(*) Livre non disponible signifie que le livre est actuellement pas disponible à l'une des plates-formes associées nous recherche.
Handbook of Data Quality - Springer
Livre non disponible
(*)

Springer:

Handbook of Data Quality - nouveau livre

ISBN: 9783642362569

ID: 677521237

The issue of data quality is as old as data itself. Further, the proliferation of quite diverse (e.g. in terms of structure or media type) shared or public data on the Web has increased the risk of poor data quality and false data aggregation. 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 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 IT tools and techniques related to record linkage, lineage and provenance, data uncertainty, and semantic 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. 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. Buch (fremdspr.) Bücher>Fremdsprachige Bücher>Englische Bücher, Springer

Nouveaux livres Thalia.de
No. 34255574 Frais d'envoi, Sofort lieferbar, DE (EUR 0.00)
Details...
(*) Livre non disponible signifie que le livre est actuellement pas disponible à l'une des plates-formes associées nous recherche.
Handbook of Data Quality - Shazia Sadiq
Livre non disponible
(*)
Shazia Sadiq:
Handbook of Data Quality - nouveau livre

ISBN: 9783642362569

[ED: Buch], [PU: Springer-Verlag GmbH], Neuware - The issue of data quality is as old as data itself. Further, the proliferation of quite diverse (e.g. in terms of structure or media type) shared or public data on the Web has increased the risk of poor data quality and false data aggregation. 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 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 IT tools and techniques related to record linkage, lineage and provenance, data uncertainty, and semantic 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., [SC: 0.00], Neuware, gewerbliches Angebot, 244x162x30 mm, [GW: 808g]

Nouveaux livres Booklooker.de
Sellonnet GmbH
Frais d'envoiVersandkostenfrei, Versand nach Deutschland (EUR 0.00)
Details...
(*) Livre non disponible signifie que le livre est actuellement pas disponible à l'une des plates-formes associées nous recherche.
Handbook of Data Quality - Shazia Sadiq
Livre non disponible
(*)
Shazia Sadiq:
Handbook of Data Quality - nouveau livre

ISBN: 9783642362569

[ED: Buch], [PU: Springer-Verlag GmbH], Neuware - The issue of data quality is as old as data itself. Further, the proliferation of quite diverse (e.g. in terms of structure or media type) shared or public data on the Web has increased the risk of poor data quality and false data aggregation. 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 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 IT tools and techniques related to record linkage, lineage and provenance, data uncertainty, and semantic 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., [SC: 0.00], Neuware, gewerbliches Angebot, 244x162x30 mm, [GW: 808g]

Nouveaux livres Booklooker.de
Buchhandlung Hoffmann
Frais d'envoiVersandkostenfrei (EUR 0.00)
Details...
(*) Livre non disponible signifie que le livre est actuellement pas disponible à l'une des plates-formes associées nous recherche.
Handbook of Data Quality - Shazia Sadiq
Livre non disponible
(*)
Shazia Sadiq:
Handbook of Data Quality - edition reliée, livre de poche

2013, ISBN: 9783642362569

ID: 25671233

Research and Practice, 2013, Hardcover, Buch, [PU: Springer Berlin]

Nouveaux livres Lehmanns.de
Frais d'envoisofort lieferbar, , Versandkostenfrei innerhalb der BRD (EUR 0.00)
Details...
(*) Livre non disponible signifie que le livre est actuellement pas disponible à l'une des plates-formes associées nous recherche.