Big Data: How Universities Use Big Data for Admission
Keywords:
Big data, hadoop, data integration, data science, university admission processAbstract
The advent of big data has transformed the manner in which businesses handle, store, and oversee data. In the realm of extensive analytics, cloud computing has emerged as an indispensable resource, offering scalable and budget-friendly solutions for managing substantial data loads. This paper delves into the influence of big data on the university admission process, commencing with a definition of big data. It explores the advantages of employing big data for data processing and storage, alongside addressing the challenges associated with its implementation. Big data has seamlessly integrated into the domain of data science, presenting a methodology that addresses the dynamic intricacies of developing analytics applications from large-scale datasets. To operate with Hadoop, this paper attempts to integrate how does big data is useful in the admission process and how it enhances the strength of admission of students. For the same, big data can play a significant role in the university admission process by helping institutions make more informed decisions and improve the efficiency of their admissions processes.
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