Performance Exploration of Hadoop in Fully-Distributed and Pseu-do-Distributed Method
Sushrut Naik · Turkish Journal of Computer and Mathematics Education (TURCOMAT) · 2021
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