Abstract

Abstract:In the recentyears the analysis of structured data has seen huge success, but theunstructured data like videos remains difficult area for analysis. Like youtubehas more than billions of users who are generating large amount of views andlogs. Around 300 videos are being uploaded to youtube every single minute andthese videos are made available to more than 1 billion youtube users in 75countries in 61 languages. Just imagine volume of data is generated by youtubeand this data is publicly available and that’s why youtube become the powerfultool for market analyzers for analyzing the competitor’s videos for increasingsales and reaching out to customers with quality products. So it’s important toanalyze the youtube data using various tools like Hadoop and MapReduce that isbasic objective of implementing this project is a)Finding out most rated videoson YouTube b) and finding the category in which videos has been uploaded.

c) How data generatedfrom YouTube can be mined and utilized to make targeted, informative decisions,and real time. 

Keywords:YouTube,Category, Real-Time data Analytics, Hadoop, and MapReduce.