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IJSDR
INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15

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Volume 9 | Issue 3

Impact factor: 8.15

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Paper Title: Analysis of Youtube DataSets using Hadoop MapReduce
Authors Name: Rashmi B , Pooja G , Usha G R
Unique Id: IJSDR1706068
Published In: Volume 2 Issue 6, June-2017
Abstract: With rapid innovations and surge of internet companies like Google, Yahoo, Amazon, eBay and a rapidly growing internet savvy population, today's advanced systems and enterprises are generating data in a very huge volume with great velocity and in a multi-structured formats including videos, images, sensor data, weblogs etc. from different sources. YouTube is one of the most popular and engaging social media tool and an amazing platform that reveals the community feedback through comments for published videos, number of likes, dislikes, number of subscribers for a particular channel. YouTube collects a wide variety of traditional data points including View Counts, Likes, Votes, and Comments. The main objective of this paper 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.
Keywords: Hadoop, MapReduce, HDFS (Hadoop Distributed File System).
Cite Article: "Analysis of Youtube DataSets using Hadoop MapReduce", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.2, Issue 6, page no.450 - 454, June-2017, Available :http://www.ijsdr.org/papers/IJSDR1706068.pdf
Downloads: 000336256
Publication Details: Published Paper ID: IJSDR1706068
Registration ID:170558
Published In: Volume 2 Issue 6, June-2017
DOI (Digital Object Identifier):
Page No: 450 - 454
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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