Universiti Teknologi Malaysia Institutional Repository

Data analysis using MapReduce in Hadoop environment

Muhammad, Muhammad Khairul Rijal and Ismail, Saiful Adli and Kama, Mohd. Nazri and Mohd. Yusop, Othman and Azmi, Azri (2017) Data analysis using MapReduce in Hadoop environment. Open International Journal of Informatics (OIJI), 5 (1). pp. 12-22. ISSN 2289-2370

[img]
Preview
PDF
434kB

Official URL: http://publication.ais.utm.my/ojs/index.php/oiji/a...

Abstract

Data is growing at every moment which makes it almost impossible to process all of it. More than a decade ago, researchers from big company in IT industry such as Google and Yahoo introduce Hadoop and MapReduce as a solution for big volume of data processing. Now, by running on a free and open platform both method had gain popularity among the industry and academicians in the academic world. Thus, this paper will use MapReduce method in Hadoop environment and apply it on a sample dataset as a way to analyse the given data. The purpose of study is to gain understanding of using MapReduce in Hadoop environment.

Item Type:Article
Uncontrolled Keywords:Hadoop, Data Analysis, MapReduce, HDFS
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5015.888 Web sites
Divisions:Advanced Informatics School
ID Code:80688
Deposited By: Fazli Masari
Deposited On:27 Jun 2019 14:15
Last Modified:27 Jun 2019 14:15

Repository Staff Only: item control page