A review data cube analysis method in big data environment
With the development of computer technologies, the amount of data has explosive growth and the data volumes have approximately doubled each year. One of the tools that affect scalability and flexibility to handle structured as well as unstructured data called Hadoop. However, data cubes are widely u...
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Format: | Article |
Language: | English |
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Asian Research Publishing Network
2015
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Online Access: | http://psasir.upm.edu.my/id/eprint/43561/1/A%20review%20data%20cube%20analysis%20method%20in%20big%20data%20environment.pdf |
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author | Ghazali, Dewi Puspa Suhana Latip, Rohaya Hussin, Masnida Abd Wahab, Mohd Helmy |
author_facet | Ghazali, Dewi Puspa Suhana Latip, Rohaya Hussin, Masnida Abd Wahab, Mohd Helmy |
author_sort | Ghazali, Dewi Puspa Suhana |
collection | UPM |
description | With the development of computer technologies, the amount of data has explosive growth and the data volumes have approximately doubled each year. One of the tools that affect scalability and flexibility to handle structured as well as unstructured data called Hadoop. However, data cubes are widely used as a powerful tool to provide multi-dimensional views in data warehousing and On-Line Analytical Processing (OLAP). Therefore, it is becoming expensive to perform the data cube analysis when the data sizes increases. In this paper, we will investigate and review the methods of MapReduce in Hadoop. |
first_indexed | 2024-03-06T08:56:02Z |
format | Article |
id | upm.eprints-43561 |
institution | Universiti Putra Malaysia |
language | English |
last_indexed | 2024-03-06T08:56:02Z |
publishDate | 2015 |
publisher | Asian Research Publishing Network |
record_format | dspace |
spelling | upm.eprints-435612016-11-14T09:26:05Z http://psasir.upm.edu.my/id/eprint/43561/ A review data cube analysis method in big data environment Ghazali, Dewi Puspa Suhana Latip, Rohaya Hussin, Masnida Abd Wahab, Mohd Helmy With the development of computer technologies, the amount of data has explosive growth and the data volumes have approximately doubled each year. One of the tools that affect scalability and flexibility to handle structured as well as unstructured data called Hadoop. However, data cubes are widely used as a powerful tool to provide multi-dimensional views in data warehousing and On-Line Analytical Processing (OLAP). Therefore, it is becoming expensive to perform the data cube analysis when the data sizes increases. In this paper, we will investigate and review the methods of MapReduce in Hadoop. Asian Research Publishing Network 2015 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/43561/1/A%20review%20data%20cube%20analysis%20method%20in%20big%20data%20environment.pdf Ghazali, Dewi Puspa Suhana and Latip, Rohaya and Hussin, Masnida and Abd Wahab, Mohd Helmy (2015) A review data cube analysis method in big data environment. ARPN Journal of Engineering and Applied Sciences, 10 (19). pp. 8525-8532. ISSN 1819-6608 http://www.arpnjournals.org/jeas/research_papers/rp_2015/jeas_1015_2756.pdf |
spellingShingle | Ghazali, Dewi Puspa Suhana Latip, Rohaya Hussin, Masnida Abd Wahab, Mohd Helmy A review data cube analysis method in big data environment |
title | A review data cube analysis method in big data environment |
title_full | A review data cube analysis method in big data environment |
title_fullStr | A review data cube analysis method in big data environment |
title_full_unstemmed | A review data cube analysis method in big data environment |
title_short | A review data cube analysis method in big data environment |
title_sort | review data cube analysis method in big data environment |
url | http://psasir.upm.edu.my/id/eprint/43561/1/A%20review%20data%20cube%20analysis%20method%20in%20big%20data%20environment.pdf |
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