Big Data, analysis of data in the cloud

Authors

  • Verónica Idalia Rosa Urrutia Universidad Tecnológica de El Salvador
  • José Guillermo Rivera-Pleitez Universidad Tecnológica de El Salvador

Keywords:

Big Data, visualizations, dataset, statistical analysis

Abstract

Big Data in El Salvador is novel, so that the objective of this research is to elaborate a methodological guide, in which the use of Big Data reflect tools to store, process and analyze large amounts of data, in order to draw conclusions that can help in making decisions. For this research, two dataset containing information on registration of foodstuffs and medicines were used. The data was stored and processed through Big Data tools such as Hadoop and Hive, R for statistical analysis, ending with the creation of visualizations in Google chart, Jqplot and D3. The research was conducted during the months of February to November 2015.

Entorno, may 2016, issue 61: 17-24

 

Abstract
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PDF (Spanish)
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Author Biographies

Verónica Idalia Rosa Urrutia, Universidad Tecnológica de El Salvador

Ingeniera en Sistemas y Computación, Máster en Docencia Universitaria, Máster en Visual Analitycs y Big Data. Docente
tiempo completo y administradora de Laboratorio de Informática Utec.

José Guillermo Rivera-Pleitez, Universidad Tecnológica de El Salvador

Docente Utec

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Published

2016-05-30

How to Cite

Big Data, analysis of data in the cloud. (2016). Entorno, 61, 17-24. https://doi.org/10.5377/entorno.v0i61.6126

Issue

No. 61 (2016)

Section

Articles

License

© Entorno

It is required that the authors transfer the right of re-production of their articles to the Entorno Journal

How to Cite

Big Data, analysis of data in the cloud. (2016). Entorno, 61, 17-24. https://doi.org/10.5377/entorno.v0i61.6126