YDA: YOUTUBE DATA ANALYSIS USING HADOOP AND MAPREDUCE

Abstract

: In the recent years the analysis of structured data has seen huge success, but the unstructured data like videos
remains difficult area for analysis. Like youtube has more than billions of users who are generating large amount of
views and logs. Around 300 videos are being uploaded to youtube every single minute and these videos are made available
to more than 1 billion youtube users in 75 countries in 61 languages. Just imagine volume of data is generated by youtube
and this data is publicly available and that’s why youtube become the powerful tool for market analyzers for analyzing
the competitor’s videos for increasing sales and reaching out to customers with quality products. So it’s important to
analyze the youtube data using various tools like Hadoop and MapReduce that is basic objective of implementing this
project is a)Finding out most rated videos on YouTube b) and finding the category in which videos has been uploaded.
c) How data generated from YouTube can be mined and utilized to make targeted, informative decisions, and real tim