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  Published Paper Details:

  Paper Title

YOU TUBE DATA ANALYSIS USING HADOOP

  Authors

  Abhishek Singh,  Ashmit Narayan Rai,  Ayushi Saxena,  Diti Gupta,  Prabal Bhatnagar

  Keywords

Hadoop, HDFS, HIVE, MapReduce

  Abstract


Presently tremendous amount of structured data being collected throughout the world .In the information era, plenty of data is uploaded as well as downloaded every second. About one hour of video is uploaded to YouTube every second. Over 4 billion videos are viewed in every day. Approximately 7.2 GigaByte (GB) data is uploaded to YouTube every minute. The most challenging task is analyzing the unstructured data which is in the video format. All of this data is typically in unstructured form and can be handled using big data. This unstructured data cannot be handled by traditional relational databases like Structured Query Language (SQL).So to handle such huge amount of data we can use the Hadoop framework. It is a distributed framework build specially for handling unstructured data. This project aims to analyze different information from the YouTube datasets using the MapReduce framework provided by Hadoop.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2004252

  Paper ID - 193531

  Page Number(s) - 1889-1893

  Pubished in - Volume 8 | Issue 4 | April 2020

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Abhishek Singh,  Ashmit Narayan Rai,  Ayushi Saxena,  Diti Gupta,  Prabal Bhatnagar,   "YOU TUBE DATA ANALYSIS USING HADOOP", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.8, Issue 4, pp.1889-1893, April 2020, Available at :http://www.ijcrt.org/papers/IJCRT2004252.pdf

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ISSN: 2320-2882
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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