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|a 9783319215693
|9 978-3-319-21569-3
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|a 10.1007/978-3-319-21569-3
|2 doi
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|a QA75.5-76.95
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|a 025.04
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|a New Horizons for a Data-Driven Economy
|h [electronic resource] :
|b A Roadmap for Usage and Exploitation of Big Data in Europe /
|c edited by José María Cavanillas, Edward Curry, Wolfgang Wahlster.
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|a 1st ed. 2016.
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2016.
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|a XX, 303 p. 34 illus.
|b online resource.
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|a text
|b txt
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|a online resource
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|a Part I: The Big Data Opportunity -- The Big Data Value Opportunity -- Introduction to the BIG Project -- Part II: The Big Data Value Chain: Enabling and Value Creating Technologies -- The Big Data Value Chain: Definitions, Concepts, and Theoretical Approaches -- Big Data Acquisition -- Big Data Analysis -- Big Data Curation -- Big Data Storage -- Big Data Usage -- Part III: Usage and Exploitation of Big Data -- Big Data Driven Innovation in Industrial Sectors -- Big Data in the Health Sector -- Big Data in the Public Sector -- Big Data in the Finance and Insurance Sectors -- Big Data in the Energy and Transport Sectors -- Big Data in the Media and Entertainment Sectors -- Part IV: A Roadmap for Big Data Research -- Cross-Sectorial Requirements Analysis for Big Data Research -- New Horizons for a Data-Driven Economy: Roadmaps and Action Plans for Technology, Businesses, Policy, and Society. .
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|a Open Access
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|a In this book readers will find technological discussions on the existing and emerging technologies across the different stages of the big data value chain. They will learn about legal aspects of big data, the social impact, and about education needs and requirements. And they will discover the business perspective and how big data technology can be exploited to deliver value within different sectors of the economy. The book is structured in four parts: Part I "The Big Data Opportunity" explores the value potential of big data with a particular focus on the European context. It also describes the legal, business and social dimensions that need to be addressed, and briefly introduces the European Commission's BIG project. Part II "The Big Data Value Chain" details the complete big data lifecycle from a technical point of view, ranging from data acquisition, analysis, curation and storage, to data usage and exploitation. Next, Part III "Usage and Exploitation of Big Data" illustrates the value creation possibilities of big data applications in various sectors, including industry, healthcare, finance, energy, media and public services. Finally, Part IV "A Roadmap for Big Data Research" identifies and prioritizes the cross-sectorial requirements for big data research, and outlines the most urgent and challenging technological, economic, political and societal issues for big data in Europe. This compendium summarizes more than two years of work performed by a leading group of major European research centers and industries in the context of the BIG project. It brings together research findings, forecasts and estimates related to this challenging technological context that is becoming the major axis of the new digitally transformed business environment. .
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|a Information storage and retrieval systems.
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|a Technological innovations.
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|a Application software.
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|a Computers and civilization.
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|a Information Storage and Retrieval.
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|a Innovation and Technology Management.
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|a Computer and Information Systems Applications.
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|a Computers and Society.
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|a Cavanillas, José María.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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|a Curry, Edward.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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|a Wahlster, Wolfgang.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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|a SpringerLink (Online service)
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|t Springer Nature eBook
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|i Printed edition:
|z 9783319215686
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|i Printed edition:
|z 9783319215709
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|i Printed edition:
|z 9783319793535
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|u https://doi.uam.elogim.com/10.1007/978-3-319-21569-3
|z Texto Completo
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|a ZDB-2-SCS
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|a ZDB-2-SXCS
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|a ZDB-2-SOB
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|a Computer Science (SpringerNature-11645)
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|a Computer Science (R0) (SpringerNature-43710)
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