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Publikace:
Processing of Big Educational Data in the Cloud Using Apache Hadoop

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Máchová, Renáta
Komárková, Jitka
Lněnička, Martin

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Infonomics Society

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The amount of available educational data is growing and the educational institutions try to organize and understand large complex datasets. Since these big data are an emerging field of study, there is no simple solution to process or analyze them. This paper aims to provide a model approach to process big educational data from the Moodle system in the cloud using the Apache Hadoop cluster. An experimental implementation of the proposed model approach is included to validate this solution. The results then suggest that the proposed model approach has a potential to be widely used for the processing of big educational data, especially with user interaction data.

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educational data, cloud computing, Moodle, Apache Hadoop, vzdělávací data, cloud computing, Moodle, Apache Hadoop

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