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Langue: anglais
Edité par Springer-Nature New York Inc, 2021
ISBN 10 : 3030681785 ISBN 13 : 9783030681784
Vendeur : Revaluation Books, Exeter, Royaume-Uni
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Ajouter au panierPaperback. Etat : Brand New. 399 pages. 9.25x6.10x0.86 inches. In Stock.
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Edité par Springer-Nature New York Inc, 2021
ISBN 10 : 3030681750 ISBN 13 : 9783030681753
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Ajouter au panierHardcover. Etat : Brand New. 424 pages. 9.25x6.10x0.94 inches. In Stock.
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Langue: anglais
Edité par Springer International Publishing, Springer International Publishing, 2021
ISBN 10 : 3030681785 ISBN 13 : 9783030681784
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Ajouter au panierTaschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This open accessbookpresents the foundations of the Big Data research and innovation ecosystem and the associated enablers thatfacilitate delivering value from data for business and society.It provides insightsinto the key elements for research and innovation, technical architectures, business models, skills, and best practices to support the creation of data-driven solutions and organizations.The book is a compilation of selected high-quality chapters covering best practices, technologies, experiences, and practical recommendations on research and innovation for big data. The contributions are groupedintofour parts: Part I: Ecosystem Elements of Big Data Valuefocuseson establishing the big data value ecosystem using a holistic approach to make itattractiveand valuable toallstakeholders. Part II: Research and Innovation Elements of Big Data Valuedetails the key technical and capability challengestobe addressedfordeliveringbig data value. Part III: Business, Policy, and Societal Elements of Big Data Valueinvestigates the need to make more efficient use of big data and understanding that data is an asset that has significant potential for the economy and society. Part IV: Emerging Elements of Big Data Valueexplores the critical elements to maximizing the future potential of big data value.Overall, readers are provided with insights which can support them in creating data-driven solutions, organizations, and productive data ecosystems.The material represents the resultsofa collective effort undertaken by the European data communityas part of theBig Data Value Public-Private Partnership (PPP)between the European Commission and the Big Data Value Association (BDVA)to boost data-driven digital transformation.
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Ajouter au panierTaschenbuch. Etat : Neu. The Elements of Big Data Value | Foundations of the Research and Innovation Ecosystem | Edward Curry (u. a.) | Taschenbuch | xxiii | Englisch | 2021 | Springer | EAN 9783030681784 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Langue: anglais
Edité par Springer International Publishing, 2021
ISBN 10 : 3030681750 ISBN 13 : 9783030681753
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Ajouter au panierBuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This open accessbookpresents the foundations of the Big Data research and innovation ecosystem and the associated enablers thatfacilitate delivering value from data for business and society.It provides insightsinto the key elements for research and innovation, technical architectures, business models, skills, and best practices to support the creation of data-driven solutions and organizations.The book is a compilation of selected high-quality chapters covering best practices, technologies, experiences, and practical recommendations on research and innovation for big data. The contributions are groupedintofour parts: Part I: Ecosystem Elements of Big Data Valuefocuseson establishing the big data value ecosystem using a holistic approach to make itattractiveand valuable toallstakeholders. Part II: Research and Innovation Elements of Big Data Valuedetails the key technical and capability challengestobe addressedfordeliveringbig data value. Part III: Business, Policy, and Societal Elements of Big Data Valueinvestigates the need to make more efficient use of big data and understanding that data is an asset that has significant potential for the economy and society. Part IV: Emerging Elements of Big Data Valueexplores the critical elements to maximizing the future potential of big data value.Overall, readers are provided with insights which can support them in creating data-driven solutions, organizations, and productive data ecosystems.The material represents the resultsofa collective effort undertaken by the European data communityas part of theBig Data Value Public-Private Partnership (PPP)between the European Commission and the Big Data Value Association (BDVA)to boost data-driven digital transformation.
Vendeur : Brook Bookstore On Demand, Napoli, NA, Italie
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Vendeur : Brook Bookstore On Demand, Napoli, NA, Italie
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Langue: anglais
Edité par Springer International Publishing Jul 2021, 2021
ISBN 10 : 3030681785 ISBN 13 : 9783030681784
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
EUR 42,79
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Ajouter au panierTaschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This open accessbookpresents the foundations of the Big Data research and innovation ecosystem and the associated enablers thatfacilitate delivering value from data for business and society.It provides insightsinto the key elements for research and innovation, technical architectures, business models, skills, and best practices to support the creation of data-driven solutions and organizations.The book is a compilation of selected high-quality chapters covering best practices, technologies, experiences, and practical recommendations on research and innovation for big data. The contributions are groupedintofour parts: Part I: Ecosystem Elements of Big Data Valuefocuseson establishing the big data value ecosystem using a holistic approach to make itattractiveand valuable toallstakeholders. Part II: Research and Innovation Elements of Big Data Valuedetails the key technical and capability challengestobe addressedfordeliveringbig data value. Part III: Business, Policy, and Societal Elements of Big Data Valueinvestigates the need to make more efficient use of big data and understanding that data is an asset that has significant potential for the economy and society. Part IV: Emerging Elements of Big Data Valueexplores the critical elements to maximizing the future potential of big data value.Overall, readers are provided with insights which can support them in creating data-driven solutions, organizations, and productive data ecosystems.The material represents the resultsofa collective effort undertaken by the European data communityas part of theBig Data Value Public-Private Partnership (PPP)between the European Commission and the Big Data Value Association (BDVA)to boost data-driven digital transformation. 428 pp. Englisch.
Vendeur : Majestic Books, Hounslow, Royaume-Uni
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Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
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Ajouter au panierEtat : New. PRINT ON DEMAND.
Langue: anglais
Edité par Springer International Publishing Jul 2021, 2021
ISBN 10 : 3030681750 ISBN 13 : 9783030681753
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
EUR 53,49
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Ajouter au panierBuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This open accessbookpresents the foundations of the Big Data research and innovation ecosystem and the associated enablers thatfacilitate delivering value from data for business and society.It provides insightsinto the key elements for research and innovation, technical architectures, business models, skills, and best practices to support the creation of data-driven solutions and organizations.The book is a compilation of selected high-quality chapters covering best practices, technologies, experiences, and practical recommendations on research and innovation for big data. The contributions are groupedintofour parts: Part I: Ecosystem Elements of Big Data Valuefocuseson establishing the big data value ecosystem using a holistic approach to make itattractiveand valuable toallstakeholders. Part II: Research and Innovation Elements of Big Data Valuedetails the key technical and capability challengestobe addressedfordeliveringbig data value. Part III: Business, Policy, and Societal Elements of Big Data Valueinvestigates the need to make more efficient use of big data and understanding that data is an asset that has significant potential for the economy and society. Part IV: Emerging Elements of Big Data Valueexplores the critical elements to maximizing the future potential of big data value.Overall, readers are provided with insights which can support them in creating data-driven solutions, organizations, and productive data ecosystems.The material represents the resultsofa collective effort undertaken by the European data communityas part of theBig Data Value Public-Private Partnership (PPP)between the European Commission and the Big Data Value Association (BDVA)to boost data-driven digital transformation. 428 pp. Englisch.
Vendeur : Majestic Books, Hounslow, Royaume-Uni
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Langue: anglais
Edité par Springer International Publishing, 2021
ISBN 10 : 3030681785 ISBN 13 : 9783030681784
Vendeur : moluna, Greven, Allemagne
EUR 39,60
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Ajouter au panierEtat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. A comprehensive account of Big Data Research and Innovation and the impacts realized in data ecosystemsInsights, lessons learnt and frameworks for big data including technical architectures, data-driven innovation, centres of.
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Langue: anglais
Edité par Springer International Publishing, 2021
ISBN 10 : 3030681750 ISBN 13 : 9783030681753
Vendeur : moluna, Greven, Allemagne
EUR 48,37
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Ajouter au panierGebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. A comprehensive account of Big Data Research and Innovation and the impacts realized in data ecosystemsInsights, lessons learnt and frameworks for big data including technical architectures, data-driven innovation, centres of.