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HADOOP: How to Process the Big Data?

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG43__%2F13%3A00496757" target="_blank" >RIV/60162694:G43__/13:00496757 - isvavai.cz</a>

  • Result on the web

    <a href="http://vavtest.unob.cz/registr" target="_blank" >http://vavtest.unob.cz/registr</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    HADOOP: How to Process the Big Data?

  • Original language description

    The paper is concerned with scalable pre-processing of data using HADOOP that is a framework based on java for processing of large volumes of data, so called Big Data.. The first part is focused on explaining the main part of the HADOOP system, which includes distributed file system and MapReduce metod. In the second part is described the process of system installation and in the final part is explained the reason of the HADOOP experiment.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2013

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    7th International Scientific Conference Communication and Information Technologies

  • ISBN

    978-80-8040-464-2

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    11-16

  • Publisher name

    Armed Forces Academy of Gen. M.R.Štefánik

  • Place of publication

    Liptovský Mikuláš

  • Event location

    Tatranské Zruby

  • Event date

    Jan 1, 2013

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article