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Año/Year 2019:

Clave: RV  Ref: RISTI'19b
William Villegas-Ch, Xavier Palacios-Pacheco, Iván Ortiz-Garcés, Sergio Luján-Mora. Management of educative data in university students with the use of big data techniques. Revista Ibérica de Sistemas y Tecnologías de la Información (RISTI), nº E19, p. 227-238. ISSN: 1646-9895.

The large volumes of data that exist in the universities keep important information of each student. Analyzing this data represents a challenge for data scientists due to the number of resources they consume. Many of the universities do not have the capacity of infrastructure as well as human resources to do it for this reason they desist from the analysis of data depriving themselves of generating knowledge about their students. The range of sensors that generate data in a university is so wide that doing an analysis of data through a traditional method such as business intelligence does not provide accurate results and their response times are not as expected. This work proposes the use of big data techniques in a university to obtain accurate results in real time that will help in making decisions improving education and learning.
   



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