Data analysis using MapReduce in Hadoop environment

• Main Authors: Muhammad, Muhammad Khairul Rijal, Ismail, Saiful Adli, Kama, Mohd. Nazri, Mohd. Yusop, Othman, Azmi, Azri
• Format: Article
• Language: English
• Published: Advanced Informatics School, Universiti Teknologi Malaysia 2017
• Subjects: TK5015.888 Web sites
• Online Access: http://eprints.utm.my/id/eprint/80688/1/SaifulAdliIsmail2017_DataAnalysisUsingMapReduceinHadoop.pdf; http://eprints.utm.my/id/eprint/80688/; http://publication.ais.utm.my/ojs/index.php/oiji/article/view/29/13

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.