By José María Cavanillas, Edward Curry, Wolfgang Wahlster
In this ebook readers will locate technological discussions at the present and rising applied sciences around the diverse levels of the large facts price chain. they are going to find out about felony facets of huge information, the social influence, and approximately schooling wishes and standards. and they'll realize the company point of view and the way giant information know-how might be exploited to convey price inside of diverse sectors of the financial system.
The ebook is established in 4 elements: half I “The huge information chance” explores the price power of massive information with a selected concentrate on the ecu context. It additionally describes the felony, company and social dimensions that must be addressed, and in short introduces the eu Commission’s gigantic venture. half II “The immense information worth Chain” information the total mammoth information lifecycle from a technical standpoint, starting from info acquisition, research, curation and garage, to info utilization and exploitation. subsequent, half III “Usage and Exploitation of massive info” illustrates the worth construction chances of great facts purposes in quite a few sectors, together with undefined, healthcare, finance, strength, media and public companies. eventually, half IV “A Roadmap for large info learn” identifies and prioritizes the cross-sectorial specifications for giant information study, and descriptions the main pressing and demanding technological, monetary, political and societal matters for giant facts in Europe.
This compendium summarizes greater than years of labor played through a number one workforce of significant ecu learn facilities and industries within the context of the massive undertaking. It brings jointly learn findings, forecasts and estimates on the topic of this demanding technological context that's turning into the main axis of the recent digitally remodeled company surroundings.
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Extra info for New Horizons for a Data-Driven Economy: A Roadmap for Usage and Exploitation of Big Data in Europe
C. M. Cavanillas et al. 1007/978-3-319-21569-3_4 39 40 K. Lyko et al. Big Data Value Chain Data Acquisition • Structured data • Unstructured data • Event processing • Sensor networks • Protocols • Real-time • Data streams • Multimodality Data Analysis • Stream mining • Semantic analysis • Machine learning • Information extraction • Linked Data • Data discovery • ‘Whole world’ semantics • Ecosystems • Community data analysis • Cross-sectorial data analysis Data Curation • • • • • • • • • • • • Data Quality Trust / Provenance Annotation Data validation Human-Data Interaction Top-down/Bottomup Community / Crowd Human Computation Curation at scale Incentivisation Automation Interoperability Data Storage • • • • • • • • • • In-Memory DBs NoSQL DBs NewSQL DBs Cloud storage Query Interfaces Scalability and Performance Data Models Consistency, Availability, Partition-tolerance Security and Privacy Standardization Data Usage • • • • • • • • • Decision support Prediction In-use analytics Simulation Exploration Visualisation Modeling Control Domain-specific usage Fig.
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