Leveraging data lake architecture for predicting academic student performance
In today's rapidly evolving landscape of higher education, the effective management and analysis of academic data have become increasingly challenging, particularly in the context of the 3Vs of Big Data: volume, variety, and velocity. The amount of data produced by educational institutions has...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | en |
| Published: |
Insight Society
2024
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| Online Access: | http://psasir.upm.edu.my/id/eprint/117456/1/117456.pdf http://psasir.upm.edu.my/id/eprint/117456/ https://ijaseit.insightsociety.org/index.php/ijaseit/article/view/12408 |
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