Open AccessAPPLYING E-LEARNING SYSTEMS FOR BIG DATA EDUCATION
Author(s) -
Grzegorz Arkit,
Silva Robak,
Aleksandra Arkit
Publication year - 2018
Publication title -
information systems in management
Language(s) - English
Resource type - Journals
eISSN - 2544-1728
pISSN - 2084-5537
DOI - 10.22630/isim.2018.7.2.8
Subject(s) - big data , computer science , field (mathematics) , data science , multimedia , data processing , database , data mining , mathematics , pure mathematics
Processing massive data amounts and Big Data became nowadays one of the most significant problems in computer science. The difficulties with education on this field arise, the appropriate teaching methods and tools are needed. The processing of vast amounts of data arriving quickly requires the choice and arrangement of extended hardware platforms.In the paper we will show an approach for teaching students in Big Data and also the choice and arrangement of an appropriate programming platform for Big Data laboratories. Usage of an e-learning platform Moodle, a dedicated platform for teaching, could allow the teaching staff and students an improved contact with by enhancing mutually communication possibilities. We will show the preparation of Hadoop platform tools and Big Data cluster based on Cloudera and Ambari. The both solutions together could enable to cope with the problems in education of students in the field of Big Data.