Big data analysis solutions using mapReduce framework

Recently, data that generated from variety of sources with massive volumes, high rates, and different data structure, data with these characteristics is called Big Data. Big Data processing and analyzing is a challenge for the current systems because they were designed without Big Data requirements...

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Main Authors:	Elagib, Sara B., Najeeb, Athaur Rahman, Hassan Abdalla Hashim, Aisha, Olanrewaju, Rashidah Funke
Format:	Conference or Workshop Item
Language:	English English
Published:	2014
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://irep.iium.edu.my/41638/ http://irep.iium.edu.my/41638/ http://irep.iium.edu.my/41638/1/41638.pdf http://irep.iium.edu.my/41638/4/41638_Big%20data%20analysis%20solutions%20using%20map_Scopus.pdf

id	iium-41638
recordtype	eprints
spelling	iium-416382017-09-20T10:26:56Z http://irep.iium.edu.my/41638/ Big data analysis solutions using mapReduce framework Elagib, Sara B. Najeeb, Athaur Rahman Hassan Abdalla Hashim, Aisha Olanrewaju, Rashidah Funke QA75 Electronic computers. Computer science Recently, data that generated from variety of sources with massive volumes, high rates, and different data structure, data with these characteristics is called Big Data. Big Data processing and analyzing is a challenge for the current systems because they were designed without Big Data requirements in mind and most of them were built on centralized architecture, which is not suitable for Big Data processing because it results on high processing cost and low processing performance and quality. MapReduce framework was built as a parallel distributed programming model to process such large-scale datasets effectively and efficiently. This paper presents six successful Big Data software analysis solutions implemented on MapReduce framework, describing their datasets structures and how they were implemented, so that it can guide and help other researchers in their own Big Data solutions. 2014 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/41638/1/41638.pdf application/pdf en http://irep.iium.edu.my/41638/4/41638_Big%20data%20analysis%20solutions%20using%20map_Scopus.pdf Elagib, Sara B. and Najeeb, Athaur Rahman and Hassan Abdalla Hashim, Aisha and Olanrewaju, Rashidah Funke (2014) Big data analysis solutions using mapReduce framework. In: 5th International Conference on Computer and Communication Engineering (ICCCE 2014), 23th - 25th September 2014, Sunway Putra Hotel, Kuala Lumpur. http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7031477
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	QA75 Electronic computers. Computer science
spellingShingle	QA75 Electronic computers. Computer science Elagib, Sara B. Najeeb, Athaur Rahman Hassan Abdalla Hashim, Aisha Olanrewaju, Rashidah Funke Big data analysis solutions using mapReduce framework
description	Recently, data that generated from variety of sources with massive volumes, high rates, and different data structure, data with these characteristics is called Big Data. Big Data processing and analyzing is a challenge for the current systems because they were designed without Big Data requirements in mind and most of them were built on centralized architecture, which is not suitable for Big Data processing because it results on high processing cost and low processing performance and quality. MapReduce framework was built as a parallel distributed programming model to process such large-scale datasets effectively and efficiently. This paper presents six successful Big Data software analysis solutions implemented on MapReduce framework, describing their datasets structures and how they were implemented, so that it can guide and help other researchers in their own Big Data solutions.
format	Conference or Workshop Item
author	Elagib, Sara B. Najeeb, Athaur Rahman Hassan Abdalla Hashim, Aisha Olanrewaju, Rashidah Funke
author_facet	Elagib, Sara B. Najeeb, Athaur Rahman Hassan Abdalla Hashim, Aisha Olanrewaju, Rashidah Funke
author_sort	Elagib, Sara B.
title	Big data analysis solutions using mapReduce framework
title_short	Big data analysis solutions using mapReduce framework
title_full	Big data analysis solutions using mapReduce framework
title_fullStr	Big data analysis solutions using mapReduce framework
title_full_unstemmed	Big data analysis solutions using mapReduce framework
title_sort	big data analysis solutions using mapreduce framework
publishDate	2014
url	http://irep.iium.edu.my/41638/ http://irep.iium.edu.my/41638/ http://irep.iium.edu.my/41638/1/41638.pdf http://irep.iium.edu.my/41638/4/41638_Big%20data%20analysis%20solutions%20using%20map_Scopus.pdf
first_indexed	2023-09-18T20:59:34Z
last_indexed	2023-09-18T20:59:34Z
_version_	1777410532100276224

Big data analysis solutions using mapReduce framework

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