Overview of BIG DATA and HADOOP

  • Ravindra V Kerkar University of Pune
  • Waman R Parulekar
  • Harshada U Salvi
Keywords: Big Data, Hadoop, Map Reduce, HDFS

Abstract

Big data is huge amount of data; it is a collection of large datasets which cannot be processed using traditional data computing tools and application. It’s not a tool, application or framework, it is merely large datasets. Now a day’s various websites, web application are generating large and complex data. Processing this generated data using traditional data processing applications and tools is inadequate. Aim of this paper is to take review of Big Data and what are the challenges with managing large volume of data. This paper also gives the overview about the hadoop framework and how we can handle this large volume of data sets using hadoop framework.

References

[1] Jean Marc Rommes, "The Long View: How Big Is The Internet?". N.p., 2009. Web. 7 Feb. 2016. [2] "Michael J. Cafarella". Web.eecs.umich.edu. Retrieved 2013-04-05. [3] Hadoop creator goes to Cloudera. [4] Vance, Ashlee (2009-03-17). "Hadoop, a Free Software Program, Finds Uses Beyond Search". The New York Times. Archived from the original on 11 February 2010. Retrieved 2010-01-20. [5] "Hadoop contains the distributed computing platform that was formerly a part of Nutch. This includes the Hadoop Distributed Filesystem (HDFS) and an implementation of MapReduce." About Hadoop.
[6] "Continuuity Raises $10 Million Series A Round to Ignite Big Data Application Development Within the Hadoop Ecosystem". finance.yahoo.com. Marketwired. 2012-11-14. Retrieved 2014-10-30. [7] "Hadoop-related projects at". Hadoop.apache.org. Retrieved 2013-10-17. [8] http://www.tutorialspoint.com/hadoop/hadoop_big_data_overview.htm [9] “Hadoop in Action” by Chuk Lam.
Published
2018-03-21
How to Cite
Kerkar, R., Parulekar, W., & Salvi, H. (2018). Overview of BIG DATA and HADOOP. Asian Journal For Convergence In Technology (AJCT) ISSN -2350-1146, 2(2). Retrieved from http://asianssr.org/index.php/ajct/article/view/192
Section
Article

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