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Data analysis using MapReduce in Hadoop environment

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 platf...

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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
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id my.utm.80688
record_format eprints
spelling my.utm.806882019-06-27T06:15:26Z http://eprints.utm.my/id/eprint/80688/ Data analysis using MapReduce in Hadoop environment Muhammad, Muhammad Khairul Rijal Ismail, Saiful Adli Kama, Mohd. Nazri Mohd. Yusop, Othman Azmi, Azri TK5015.888 Web sites 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. Advanced Informatics School, Universiti Teknologi Malaysia 2017 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/80688/1/SaifulAdliIsmail2017_DataAnalysisUsingMapReduceinHadoop.pdf 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 http://publication.ais.utm.my/ojs/index.php/oiji/article/view/29/13
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic TK5015.888 Web sites
spellingShingle TK5015.888 Web sites
Muhammad, Muhammad Khairul Rijal
Ismail, Saiful Adli
Kama, Mohd. Nazri
Mohd. Yusop, Othman
Azmi, Azri
Data analysis using MapReduce in Hadoop environment
description 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.
format Article
author Muhammad, Muhammad Khairul Rijal
Ismail, Saiful Adli
Kama, Mohd. Nazri
Mohd. Yusop, Othman
Azmi, Azri
author_facet Muhammad, Muhammad Khairul Rijal
Ismail, Saiful Adli
Kama, Mohd. Nazri
Mohd. Yusop, Othman
Azmi, Azri
author_sort Muhammad, Muhammad Khairul Rijal
title Data analysis using MapReduce in Hadoop environment
title_short Data analysis using MapReduce in Hadoop environment
title_full Data analysis using MapReduce in Hadoop environment
title_fullStr Data analysis using MapReduce in Hadoop environment
title_full_unstemmed Data analysis using MapReduce in Hadoop environment
title_sort data analysis using mapreduce in hadoop environment
publisher Advanced Informatics School, Universiti Teknologi Malaysia
publishDate 2017
url 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
_version_ 1643658486930735104
score 13.211869

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