Analysis of Youtube DataSets using Hadoop MapReduce

Usha G R , Aishwarya S , Kavitha

Hadoop,MapReduce, HDFS (Hadoop Distributed File System).

The tool used to manage and process the big data contents is hadoop, it is the biggest task in the recent years. Some of the big users such as Yahoo, Facebook and Amazon use Hadoop. Hadoop is an open source platform which is used effectively to handle the big data applications. The two core concepts of the Hadoop are MapReduce and Hadoop distributed file system (HDFS). HDFS is the storage mechanism and Map Reduce is a distributed processing framework. MapReduce is operated with the help of two functions, mapper function and the reducer function.Most of the companies are uploading their product launch on YouTube and they anxiously await their subscribers' reviews. "YouTube has over a billion users and everyday people watch hundreds of millions of hours on YouTube and generate billions of views”. The main objective of this project is to demonstrate by using Hadoop concepts, how data generated from YouTube can be mined and utilized to make targeted, real time and informed decisions. The data is being collected from a particular URL. This data is then stored in HDFS (Hadoop Distributed File System) in a certain format. This data is further analyzed to obtain the final output, to describe that which is the most videos uploaded, view counts, those video's ranking according to YouTube Analytics.

Published Paper   E-Certificate

"Analysis of Youtube DataSets using Hadoop MapReduce", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.2, Issue 6, page no.455 - 457, June-2017, Available :https://ijsdr.org/papers/IJSDR1706069.pdf

Volume 2 Issue 6, June-2017

Pages : 455 - 457

Paper Reg. ID: IJSDR_170557

Published Paper Id: IJSDR1706069

Downloads: 000347219

Research Area: Engineering

Country: Ujire, Karnataka, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR1706069

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR1706069

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition