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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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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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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“The book provides rich information on the different processes involved in big data value chain and explains each process with case studies in diverse industrial sectors. … the book can help academic researchers, undergraduate students, and graduate students because it contains information about big data and its recent development and generates some research ideas. This book can also facilitate government officials and executives of different organizations to consider future roadmap by taking advantage of big data.” (Sunny Sun and Rob Law, Information Technology & Tourism, Vol. 17, 2017)
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Provides the big picture on how to exploit big data, including technological, economic, political and societal issues Details the complete lifecycle of the big data value chain, ranging from data acquisition, analysis, curation and storage, to data usage and exploitation Illustrates the potential of big data value within different sectors, including industry, healthcare, finance, energy, media and public services Summarizes more than two years of research done by a leading group of major European research centers and industries
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Open Access This book is licensed under the terms of the Creative Commons Attribution-NonCommercial 2.5 International License (http://creativecommons.org/licenses/by-nc/2.5/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made. The images or other third party material in this book are included in the book's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the book's Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.
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Produktdetaljer

ISBN
9783319793535
Publisert
2018-04-19
Utgiver
Vendor
Springer International Publishing AG
Høyde
235 mm
Bredde
155 mm
Aldersnivå
Research, P, 06
Språk
Product language
Engelsk
Format
Product format
Heftet

Biographical note

José María Cavanillas is currently R&D&I Director in Atos since 2000. He is Master Engineer in Telecommunications in Madrid Technical University (UPM) and has completed post-graduate studies in Business Administration and International Trade from CEPADE. In the last 20 years his team has been involved in more than 200 R&D&I projects.

Edward Curry is a Research Scientist at the Insight Centre for Data Analytics. His research interests include smart cities, energy intelligence, semantic information management, event based systems, and collaborative data management. He has worked extensively with industry and government advising on the adoption patterns, practicalities, and benefits of new technologies.

Wolfgang Wahlster is the Director and CEO of the German Research Center for Artificial Intelligence and a Professor of Computer Science at Saarland University (Saarbrücken, Germany). He has published more than 170 technical papers and 8 books on language technology and intelligent user interfaces.