Citation
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
Abstract
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.
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Additional Metadata
Item Type: | Article |
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Divisions: | Faculty of Computer Science and Information Technology Institute for Mathematical Research |
Publisher: | Asian Research Publishing Network |
Keywords: | Big data; Data cube; MapReduce |
Depositing User: | Mohd Hafiz Che Mahasan |
Date Deposited: | 19 Jul 2016 04:29 |
Last Modified: | 14 Nov 2016 09:26 |
URI: | http://psasir.upm.edu.my/id/eprint/43561 |
Statistic Details: | View Download Statistic |
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