Apache Hadoop Distributed File System

  • Nilesh Vishwasrao Patil University of Pune
Keywords: Hadoop, HDFS, Big Dta, MapReduce, Hbase

Abstract

Apache Hadoop has been playing the vital role in market for storing and processing the big data. Apache Hadoop is uses the Hadoop distributed file system (HDFS) for storing the big data in distributed computing environment. It is used Map reduce to analyse and process such huge amount of data. Hadoop distributed file system is designed for storing large amount of data sets with highest amount of reliability and which stream those data sets at high bandwidth to the user applications. Apache Hadoop is provides the greatly fault tolerance and also it deployed on the low cost hardware.

References

[1] Konstantin Shvachko, Hairong Kuang, Sanjay Radia, Robert Chansler. (2010). The Hadoop Distributed File System, IEEE, 978, pp.12-16[2] Ivanilton Polatoa, Reginaldo R´e, Alfredo Goldman, Fabio Kon (2014). A Comprehensive View of Hadoop Research - A Systematic Literature Review. Journal of Network and Computer Applications, 46 pp. 1-28. [3] Web site URL: http://hortonworks.com/hadoop/hdfs/#section_1
Published
2018-03-22
How to Cite
Patil, N. (2018). Apache Hadoop Distributed File System. Asian Journal For Convergence In Technology (AJCT) ISSN -2350-1146, 3(3). Retrieved from http://asianssr.org/index.php/ajct/article/view/141
Section
Article

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