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Modeling and processing for next-generation big-data technologies: with applications and case studies

This book covers the latest advances in Big Data technologies and provides the readers with a comprehensive review of the state-of-the-art in Big Data processing, analysis, analytics, and other related topics. It presents new models, algorithms, software solutions and methodologies, covering the ful...

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Detalles Bibliográficos
Autores principales: Xhafa, Fatos, Barolli, Leonard, Barolli, Admir, Papajorgji, Petraq
Lenguaje:eng
Publicado: Springer 2015
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-319-09177-8
http://cds.cern.ch/record/1973466
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author Xhafa, Fatos
Barolli, Leonard
Barolli, Admir
Papajorgji, Petraq
author_facet Xhafa, Fatos
Barolli, Leonard
Barolli, Admir
Papajorgji, Petraq
author_sort Xhafa, Fatos
collection CERN
description This book covers the latest advances in Big Data technologies and provides the readers with a comprehensive review of the state-of-the-art in Big Data processing, analysis, analytics, and other related topics. It presents new models, algorithms, software solutions and methodologies, covering the full data cycle, from data gathering to their visualization and interaction, and includes a set of case studies and best practices. New research issues, challenges and opportunities shaping the future agenda in the field of Big Data are also identified and presented throughout the book, which is intended for researchers, scholars, advanced students, software developers and practitioners working at the forefront in their field.
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institution Organización Europea para la Investigación Nuclear
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publishDate 2015
publisher Springer
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spelling cern-19734662021-04-21T20:41:55Zdoi:10.1007/978-3-319-09177-8http://cds.cern.ch/record/1973466engXhafa, FatosBarolli, LeonardBarolli, AdmirPapajorgji, PetraqModeling and processing for next-generation big-data technologies: with applications and case studiesEngineeringThis book covers the latest advances in Big Data technologies and provides the readers with a comprehensive review of the state-of-the-art in Big Data processing, analysis, analytics, and other related topics. It presents new models, algorithms, software solutions and methodologies, covering the full data cycle, from data gathering to their visualization and interaction, and includes a set of case studies and best practices. New research issues, challenges and opportunities shaping the future agenda in the field of Big Data are also identified and presented throughout the book, which is intended for researchers, scholars, advanced students, software developers and practitioners working at the forefront in their field.Springeroai:cds.cern.ch:19734662015
spellingShingle Engineering
Xhafa, Fatos
Barolli, Leonard
Barolli, Admir
Papajorgji, Petraq
Modeling and processing for next-generation big-data technologies: with applications and case studies
title Modeling and processing for next-generation big-data technologies: with applications and case studies
title_full Modeling and processing for next-generation big-data technologies: with applications and case studies
title_fullStr Modeling and processing for next-generation big-data technologies: with applications and case studies
title_full_unstemmed Modeling and processing for next-generation big-data technologies: with applications and case studies
title_short Modeling and processing for next-generation big-data technologies: with applications and case studies
title_sort modeling and processing for next-generation big-data technologies: with applications and case studies
topic Engineering
url https://dx.doi.org/10.1007/978-3-319-09177-8
http://cds.cern.ch/record/1973466
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