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Challenges and Opportunities in Big Data Processing

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F16%3A10324304" target="_blank" >RIV/00216208:11320/16:10324304 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.4018/978-1-4666-9840-6.ch096" target="_blank" >http://dx.doi.org/10.4018/978-1-4666-9840-6.ch096</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.4018/978-1-4666-9840-6.ch096" target="_blank" >10.4018/978-1-4666-9840-6.ch096</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Challenges and Opportunities in Big Data Processing

  • Original language description

    The development and extensive use of highly distributed and scalable systems to process Big Data have been widely considered. New data management architectures, e.g. distributed file systems and NoSQL databases, are used in this context. However, features of Big Data like their complexity and data analytics demands indicate that these concepts solve Big Data problems only partially. A development of so called NewSQL databases is highly relevant and even special category of Big Data Management Systems is considered. In this work we will discuss these trends and evaluate some current approaches to Big Data processing, identify the current challenges, and suggest possible research directions.

  • Czech name

  • Czech description

Classification

  • Type

    C - Chapter in a specialist book

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GA13-08195S" target="_blank" >GA13-08195S: Highly Scalable Parallel and Distributed Methods of Data Processing in E-science</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2016

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Book/collection name

    Managing Big Data in Cloud Computing Environments

  • ISBN

    978-1-4666-9834-5

  • Number of pages of the result

    24

  • Pages from-to

    1-24

  • Number of pages of the book

    314

  • Publisher name

    IGI Global

  • Place of publication

    Neuveden

  • UT code for WoS chapter