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International Journal of Contemporary Research in Computer Science and Technology

Peer Reviewed Open Access Fully Refereed Journal Since 2015
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A STUDY ON OVERVIEW OF BIG DATA, HADOOP AND MAP REDUCE TECHNIQUES

V.Shanmugapriya, Dr.D.Maruthanayagam

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Article Information
  • Published In Volume 2, Issue 8 (2016)
  • Publication Date July 31, 2026
  • Manuscript ID IJCRCST-AUGUST16-11
  • Article Type Research Paper
  • Pages 940 - 945
  • 5 Views 0 Downloads

Abstract

We have entered the big data era. Organizations are capturing, storing, and analyzing data that has high volume, velocity, and variety and comes from a variety of new sources, including social media, machines, log files, video, text, image, RFID (Radio Frequency Identification), and GPS (Global Positioning System). These sources have strained the capabilities of traditional relational database management systems and spawned a host of new technologies, approaches, and platforms. Big data is data that exceeds the processing capacity of traditional databases. The data is too big to be processed by a single machine. New and innovative methods are required to process and store such large volumes of data. This paper presents an overview of Big Data, Big Data Analytics and Big Data technologies, Hadoop Distributed File System and MapReduce.

Keywords

Big Data database Hadoop MapReduce and HDFS

Authors

V.Shanmugapriya
Dr.D.Maruthanayagam
How to Cite this Article

V.Shanmugapriya, Dr.D.Maruthanayagam (2016). "A STUDY ON OVERVIEW OF BIG DATA, HADOOP AND MAP REDUCE TECHNIQUES". International Journal of Contemporary Research in Computer Science and Technology, 2(8), pp. 940-945.