A Quest on Hadoop

Authors

  • Daniel SE Post Graduate Student, Dept. Of IT, Rajagiri School of Engineering & Technology, Kochi
  • A Binu Asst. Professor, Dept. Of IT, Rajagiri School of Engineering & Technology, Kochi

Keywords:

hadoop, bigdata, Map/Reduce, Hadoop Distributed File Systems, HDFS, Job tracker, task tracker

Abstract

Everyday quintillion bytes of data are created. About 90% of this data which are posts to social media sites, digital pictures, videos etc. are unstructured. These data is BigData and should be formatted to make it suitable for data mining and its subsequent analysis. Hadoop offers a firm platform in this regard and is designed to handle mixture of complex and structured data so that computationally extensive tasks can be performed. The paper also acquaints a brief idea on how we store and query BigData using Hadoop.

References

Jeffrey Shafer, Scott Rixner, and Alan L. Cox IEEE ISPASS, 2010. The Hadoop Distributed File System: Balancing portability and Performance.

B.Thirumala Rao, Dr. L.S.S Reddy. International Journal of Computer Applications - ISSN 0975-8887, Volume 2, No. 9, November 2011. A Survey on improved Scheduling in Hadoop MapReduce in cloud Environments

Hadoop’s Fair Scheduler - http://hadoop.apache.org/common/docs/ r0.20.2/fair_scheduler.html

Hadoop’s Capacity Scheduler: http://hadoop.apache.org/core/docs/ current/capacity_scheduler.html.

Apache Hadoop. http://hadoop.apache.org.

Hadoop Distributed File System, http://hadoop.apache.org/hdfs Hadoop in Practice – Ebook on Hadoop

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Published

2024-02-26

How to Cite

Daniel, S. E., & A, B. (2024). A Quest on Hadoop. COMPUSOFT: An International Journal of Advanced Computer Technology, 2(11), 370–373. Retrieved from https://ijact.in/index.php/j/article/view/64

Issue

Section

Review Article

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