Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Youtube: Bigdata Analytics using Hadoop and Map Reduce

Author : P.Sushma 1 Dr.S.Nagaprasad 2 Dr.V.Ajantha Devi 3

Date of Publication :25th April 2018

Abstract: We live in a digitalized world today. An enormous amount of data is generated from every digital service we use. This enormous amount of generated data is called Big Data. According to Wikipedia, Big data is a word for data sets that are enormous in size or compound that traditional data supervision application software is pathetic to compact with them [5].Big data defies embrace receiving data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating and information privacy. Google‘s video streaming services, YouTube, is one of the best examples of services which produces a huge quantity of data in a very short period. Data mining of such an enormous quantity of data is performed using Hadoop and MapReduce to measure performance. Hadoop is a system which delivers a consistent collective storage. The storage is provided by HDFS (Hadoop Distributed File System) and analysis by MapReduce. MapReduce is a programming model and an associated implementation for processing large data sets. This paper presents big data analysis on Youtube using Hadoop and MapReduce techniques.

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