Performance Exploration of Hadoop in Fully-Distributed and Pseu-do-Distributed Method

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Sushrut Naik, et. al.


This electronic We propose to analyze the exhibition of Big Data applications with Hadoop and along these lines to make sense of the presentation in data security. Ha-doop is formed on MapReduce, one of the generally uti-lized programming models in Big Data. This paper aims to evaluate performance factors and compare the con-ventional method of providing security and distributed method of providing data security. This assessment will set up the fundamental abilities that ought to be consid-ered explicitly on a Distributed File System (HDFS: Ha-doop Distributed File System) for execution as far as speed. Large information has explicit attributes (Volume, Velocity, Value, Variety, Veracity - 5V) that make it hard to oversee from a security perspective. Consequently, we propose a model that gives enormous information secu-rity using Hadoop and Pig-Latin and analyze the afteref-fects of the traditional method and distributed method. Through this work, it was expected that Hadoop and Pig-Latin are skilled in Data Security


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How to Cite
et. al., S. N. . (2021). Performance Exploration of Hadoop in Fully-Distributed and Pseu-do-Distributed Method. Turkish Journal of Computer and Mathematics Education (TURCOMAT), 12(10), 111–118. Retrieved from