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Judul The elements of big data value : foundations of the research and innovation ecosystem / Edward Curry (Editor); Andreas Metzger (Editor); Sonja Zillner (Editor); Jean-Christophe Pazzaglia (Editor); Ana Garci?a Robles (Editor)
Pengarang Curry, Edward
Metzger, Andreas
Zillner, Sonja
Pazzaglia, Jean-Christophe
Robles, Ana Garci?a
Penerbitan Cham : Springer Nature, 2021
Deskripsi Fisik 377 p.
ISBN 9783030681760
Subjek BIG DATA
Catatan 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
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Lokasi Akses Online https://link.springer.com/book/10.1007/978-3-030-68176-0#about-this-book

 
No Barcode No. Panggil Akses Lokasi Ketersediaan
317425192 025.421 Ele Baca Online Perpustakaan Pusat - Online Resources
Ebook
Tersedia
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245 1 # $a The elements of big data value : foundations of the research and innovation ecosystem /$c Edward Curry (Editor); Andreas Metzger (Editor); Sonja Zillner (Editor); Jean-Christophe Pazzaglia (Editor); Ana Garci?a Robles (Editor)
260 # # $a Cham :$b Springer Nature,$c 2021
300 # # $a 377 p.
505 # # $a 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
650 # # $a BIG DATA
700 1 # $a Metzger, Andreas
700 1 # $a Pazzaglia, Jean-Christophe
700 1 # $a Robles, Ana Garci?a
700 1 # $a Zillner, Sonja
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