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
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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 |
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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 06:15 |
Last Modified: | 27 Jun 2019 06:15 |
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