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Big Data : Principles and Paradigms

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Title: Big Data : Principles and Paradigms
Description: Big Data: Principles and Paradigms captures the state-of-the-art research on the architectural aspects, technologies, and applications of Big Data. The book identifies potential future directions and technologies that facilitate insight into numerous scientific, business, and consumer applications. To help realize Big Data's full potential, the book addresses numerous challenges, offering the conceptual and technological solutions for tackling them. These challenges include life-cycle data management, large-scale storage, flexible processing infrastructure, data modeling, scalable machine learning, data analysis algorithms, sampling techniques, and privacy and ethical issues. - Covers computational platforms supporting Big Data applications - Addresses key principles underlying Big Data computing - Examines key developments supporting next generation Big Data platforms - Explores the challenges in Big Data computing and ways to overcome them - Contains expert contributors from both academia and industry
Authors: Rajkumar Buyya, Rodrigo N. Calheiros, Amir Vahid Dastjerdi
Resource Type: eBook.
Subjects: Big data
Categories: COMPUTERS / Data Science / General, COMPUTERS / Database Administration & Management
Database: eBook Collection (EBSCOhost)
FullText Links:
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  Availability: 0
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DbLabel: eBook Collection (EBSCOhost)
An: 1145031
RelevancyScore: 1070
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 1070.4580078125
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  Data: Big Data: Principles and Paradigms captures the state-of-the-art research on the architectural aspects, technologies, and applications of Big Data. The book identifies potential future directions and technologies that facilitate insight into numerous scientific, business, and consumer applications. To help realize Big Data's full potential, the book addresses numerous challenges, offering the conceptual and technological solutions for tackling them. These challenges include life-cycle data management, large-scale storage, flexible processing infrastructure, data modeling, scalable machine learning, data analysis algorithms, sampling techniques, and privacy and ethical issues. - Covers computational platforms supporting Big Data applications - Addresses key principles underlying Big Data computing - Examines key developments supporting next generation Big Data platforms - Explores the challenges in Big Data computing and ways to overcome them - Contains expert contributors from both academia and industry
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      – Code: 005.7
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Big data
        Type: general
    Titles:
      – TitleFull: Big Data : Principles and Paradigms
        Type: main
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          Name:
            NameFull: Rajkumar Buyya
      – PersonEntity:
          Name:
            NameFull: Rodrigo N. Calheiros
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            NameFull: Amir Vahid Dastjerdi
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          Name:
            NameFull: Rajkumar Buyya
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            NameFull: Rodrigo N. Calheiros
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            NameFull: Amir Vahid Dastjerdi
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2016
            – D: 10
              M: 08
              Type: profile
              Y: 2016
          Identifiers:
            – Type: isbn-print
              Value: 9780128053942
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              Value: 9780128093467
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            – TitleFull: Big Data : Principles and Paradigms
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