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...
| Main Authors: | , , , |
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| Format: | Proceeding Paper |
| Language: | English English |
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2014
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| Online Access: | 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 |
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| 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. |
| building | IIUM Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-14T16:00:53Z |
| format | Proceeding Paper |
| id | iium-41638 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-14T16:00:53Z |
| publishDate | 2014 |
| recordtype | eprints |
| repository_type | Digital Repository |
| 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 Proceeding Paper 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 |
| 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 |
| title | 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_short | Big data analysis solutions using mapReduce framework |
| title_sort | big data analysis solutions using mapreduce framework |
| topic | QA75 Electronic computers. Computer science |
| 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 |