1. 1. Webster, John. "MapReduce: Simplified Data Processing on Large Clusters", "Search Storage",2004. Retrieved on 25 March 2013. https://static.googleusercontent.com/media/research.goog le.com/en//archive/mapreduce-osdi04.pdf.
   2. Bibliography: Big Data Analytics: Methods and Applications by SaumyadiptaPyne, B.L.S. PrakasaRao, S.B. Rao.
   3. YOUTUBE COMPANY STATISTICS. https://www.statisticbrain.com/youtube-statistics/.
   4. Youtube.com @2017. YouTube for media. https://www.youtube.com/yt/about/press/
   5. Big data;Wikipedia https://en.wikipedia.org/wiki/Big_data
   6. Kallerhoff,Phillip. ―Big Data and Credit Unions: Machine Learning in Member Transactions .
   7. Marr,Barnard.―Why only one of the 5 Vs of big data really matters  http://www.ibmbigdatahub.com/blog/why-only-one-5-vsbig-data-really-matters.
   8. 2016. Information. "Chapter 1 - Big Data Overview". Big Data: Concepts, Methodologies, Tools, and Applications, Volume I. IGI Global. http://common.books24x7.com/toc.aspx?bookid=114 046
   9.  Apache Hadoophttp://hadoop.apache.org/
   10. How To Analyze Big Data With HadoopTechnologies ; 3pillarglobal.com. 2017. https://www.3pillarglobal.com/insights/analyze-big-datahadoop-technologies
   11. J. Dean, S. Ghemawat, MapReduce: Simplified Data Processing on Large Clusters, in:OSDI‘04, 6th Symposium on Operating Systems Design and Implementation, Sponsored by USENIX, in cooperation with ACM SIGOPS, 2004, pp. 137– 150.