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Download the fantastic book titled New Horizons for a Data Driven Economy written by José María Cavanillas, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "New Horizons for a Data Driven Economy", which was released on 04 April 2016. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Computers genre.

Summary of New Horizons for a Data Driven Economy by José María Cavanillas PDF

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.


Detail About New Horizons for a Data Driven Economy PDF

  • Author : José María Cavanillas
  • Publisher : Springer
  • Genre : Computers
  • Total Pages : 303 pages
  • ISBN : 3319215698
  • PDF File Size : 7,6 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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New Horizons for a Data-Driven Economy

New Horizons for a Data-Driven Economy
  • Publisher : Springer
  • File Size : 34,8 Mb
  • Release Date : 04 April 2016
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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

New Horizons for a Data-Driven Economy

New Horizons for a Data-Driven Economy
  • Publisher : Springer
  • File Size : 26,5 Mb
  • Release Date : 11 April 2016
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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

Data-Driven Innovation Big Data for Growth and Well-Being

Data-Driven Innovation Big Data for Growth and Well-Being
  • Publisher : OECD Publishing
  • File Size : 46,9 Mb
  • Release Date : 06 October 2015
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This report improves the evidence base on the role of Data Driven Innovation for promoting growth and well-being, and provide policy guidance on how to maximise the benefits of DDI

Model-Driven Development and Operation of Multi-Cloud Applications

Model-Driven Development and Operation of Multi-Cloud Applications
  • Publisher : Springer
  • File Size : 30,5 Mb
  • Release Date : 22 December 2016
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This books is open access under a CC BY 4.0 license. This book summarizes work being undertaken within the collaborative MODAClouds research project, which aims to facilitate interoperability between heterogeneous Cloud

Data-Driven Business Models for the Digital Economy

Data-Driven Business Models for the Digital Economy
  • Publisher : Business Expert Press
  • File Size : 22,6 Mb
  • Release Date : 21 April 2020
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Today the fastest growing companies have no physical assets. Instead, they create innovative digital products and new data-driven business models. They capture huge market share fast and their capitalizations skyrocket.

The Elements of Big Data Value

The Elements of Big Data Value
  • Publisher : Springer Nature
  • File Size : 24,5 Mb
  • Release Date : 01 August 2021
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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

Data-Driven Solutions to Transportation Problems

Data-Driven Solutions to Transportation Problems
  • Publisher : Elsevier
  • File Size : 21,6 Mb
  • Release Date : 04 December 2018
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Data-Driven Solutions to Transportation Problems explores the fundamental principle of analyzing different types of transportation-related data using methodologies such as the data fusion model, the big data mining approach, computer

Technologies and Applications for Big Data Value

Technologies and Applications for Big Data Value
  • Publisher : Springer Nature
  • File Size : 39,5 Mb
  • Release Date : 28 May 2024
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This open access book explores cutting-edge solutions and best practices for big data and data-driven AI applications for the data-driven economy. It provides the reader with a basis for understanding

Big Data Governance and Perspectives in Knowledge Management

Big Data Governance and Perspectives in Knowledge Management
  • Publisher : IGI Global
  • File Size : 53,6 Mb
  • Release Date : 16 November 2018
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The world is witnessing the growth of a global movement facilitated by technology and social media. Fueled by information, this movement contains enormous potential to create more accountable, efficient, responsive,