TEACHING BIG DATA ANALYTICAL PLATFORMS IN HIGHER EDUCATION FOR GRADUATE DEGREE STUDENTS
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Date
2018
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Journal ISSN
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Publisher
СДУ хабаршысы - 2018
Abstract
Abstract. An extensive archive of petabytes of data has been generated from modern information systems and digital technologies such as scientific data analysis, social data analysis, reference systems and Internet services journals. To investigate and extract knowledge from this enormous data much effort is needed. Due to this, Big Data Management Systems need to be integrated as part of the computing curriculum. In this article, we present examples of analysed tasks that can be processed as large data projects using Apache Hadoop, and it’s Map – Reduce, Apache Spark, Hive and Pig by demonstrating how each type of system can be integrated via sample datasets and data analysis tasks. The aim of this paper is to show how Big data analyzing tools can be educated through sample tasks, their solution and implementation.
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Keywords
big data, education of data mining, hadoop, spark, СДУ хабаршысы - 2018, №4
Citation
U.T. Nurkey , A. Bogdanchikov / TEACHING BIG DATA ANALYTICAL PLATFORMS IN HIGHER EDUCATION FOR GRADUATE DEGREE STUDENTS / СДУ хабаршысы - 2018