Open AccessAnalysis, design, and creation of a learning program in Big Data at the higher education level: Case study Instituto Tecnológico Superior de Rioverde, SLP
Author(s) -
Omar Mendoza-González,
Monica Amador García,
Yurivia Torres-Meraz,
Fabiola García-Padrón
Publication year - 2021
Publication title -
revista de tecnologías de la información y comunicaciones
Language(s) - English
Resource type - Journals
ISSN - 2531-2200
DOI - 10.35429/jitc.2021.13.5.9.13
Subject(s) - respondent , big data , certification , computer science , spark (programming language) , context (archaeology) , subject (documents) , data science , mathematics education , psychology , world wide web , management , data mining , paleontology , biology , political science , law , economics , programming language
In this paper results of a quantitative and qualitative study are shown to identify interest and acceptance level of Big Data in university students. The creation of a learning program is proposed that will allow students to obtain the necessary knowledge to form a solid foundation regarding Big Data, as well as the necessary tools to start working with this technology. A survey has been carried out of students who study the Educational Programs of Computer Engineering and Engineering in Computer Systems at ITSRV, the results show that 41% of the respondent’s report having zero knowledge of Big Data, 51.28% mention that it is important to learn about the subject by development professional and the most suitable way, according to the answers, is through a workshop or a certification. Of the eight most used Big Data tools, Hadoop and Spark were the ones identified by the respondents, due to this, and the literature reviewed, it is important that spaces and Big Data learning programs are generated in higher level institutions that allow Students obtain the necessary basic knowledge and identify applications of Big Data in the professional and job context.