elements big data value (34 resultados)

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Paperback. Condición: New. 1st ed. 2021. This open access book presents the foundations of the Big Data research and innovation ecosystem and the associated enablers that facilitate delivering value from data for business and society. It provides insights into 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 grouped into four parts: ·         Part I: Ecosystem Elements of Big Data Value focuses on establishing the big data value ecosystem using a holistic approach to make it attractive and valuable to all stakeholders.  ·         Part II: Research and Innovation Elements of Big Data Value details the key technical and capability challenges to be addressed for delivering big data value.  ·         Part III: Business, Policy, and Societal Elements of Big Data Value investigates 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 Value explores 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 results of a collective effort undertaken by the European data community as part of the Big 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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Condición: New. A&nbspcomprehensive account of Big Data Research and Innovation&nbspand the impacts realized in data&nbspecosystemsInsights, lessons learnt and frameworks for big data including technical architectures,&nbspdata-driven&nbspinnovation, centres of.

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Paperback. Condición: Brand New. 399 pages. 9.25x6.10x0.86 inches. In Stock.

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Paperback. Condición: New. 1st ed. 2021. This open access book presents the foundations of the Big Data research and innovation ecosystem and the associated enablers that facilitate delivering value from data for business and society. It provides insights into 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 grouped into four parts: ·         Part I: Ecosystem Elements of Big Data Value focuses on establishing the big data value ecosystem using a holistic approach to make it attractive and valuable to all stakeholders.  ·         Part II: Research and Innovation Elements of Big Data Value details the key technical and capability challenges to be addressed for delivering big data value.  ·         Part III: Business, Policy, and Societal Elements of Big Data Value investigates 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 Value explores 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 results of a collective effort undertaken by the European data community as part of the Big Data Value Public-Private Partnership (PPP) between the European Commission and the Big Data Value Association (BDVA) to boost data-driven digital transformation.

Taschenbuch. Condición: 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.

Taschenbuch. Condición: Neu. The Elements of Big Data Value | Foundations of the Research and Innovation Ecosystem | Edward Curry (u. a.) | Taschenbuch | xxiii | Englisch | 2021 | Springer International Publishing | EAN 9783030681784 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Buch. Condición: Neu. Neuware -This open access book presents the foundations of the Big Data research and innovation ecosystem and the associated enablers that facilitate delivering value from data for business and society. It provides insights into 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 grouped into four parts: Part I: Ecosystem Elements of Big Data Value focuses on establishing the big data value ecosystem using a holistic approach to make it attractive and valuable to all stakeholders. Part II: Research and Innovation Elements of Big Data Value details the key technical and capability challenges to be addressed for delivering big data value. Part III: Business, Policy, and Societal Elements of Big Data Value investigates 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 Value explores 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 results of a collective effort undertaken by the European data community as part of the Big Data Value Public-Private Partnership (PPP) between the European Commission and the Big Data Value Association (BDVA) to boost data-driven digital transformation.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 428 pp. Englisch.

Buch. Condición: 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.

Paperback. Condición: Brand New. 399 pages. 9.25x6.10x0.86 inches. In Stock. This item is printed on demand.

Taschenbuch. Condición: 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.