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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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| Paper Title: | Analysis of Youtube DataSets using Hadoop MapReduce |
| Authors Name: | Usha G R , Aishwarya S , Kavitha |
| Unique Id: | IJSDR1706069 |
| Published In: | Volume 2 Issue 6, June-2017 |
| Abstract: | 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. |
| 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.455 - 457, June-2017, Available :http://www.ijsdr.org/papers/IJSDR1706069.pdf |
| Downloads: | 000337070 |
| Publication Details: | Published Paper ID: IJSDR1706069 Registration ID:170557 Published In: Volume 2 Issue 6, June-2017 DOI (Digital Object Identifier): Page No: 455 - 457 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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