Leveraging data lake architecture for predicting academic student performance

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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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Bibliographic Details
Main Authors:	Abdul Rahim, Shameen Aina, Sidi, Fatimah, Affendey, Lilly Suriani, Ishak, Iskandar, Nurlankyzy, Appak Yessirkep
Format:	Article
Language:	English
Published:	Insight Society 2024
Online Access:	http://psasir.upm.edu.my/id/eprint/117456/ http://psasir.upm.edu.my/id/eprint/117456/1/117456.pdf

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