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arXiv · 2108.02898

Scalable Analysis for Covid-19 and Vaccine Data

Chris Collins·Roxana Cuevas·Edward Hernandez·Reece Hernandez·Breanna Le·Jongwook Woo
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Abstract

This paper explains the scalable methods used for extracting and analyzing the Covid-19 vaccine data. Using Big Data such as Hadoop and Hive, we collect and analyze the massive data set of the confirmed, the fatality, and the vaccination data set of Covid-19. The data size is about 3.2 Giga-Byte. We show that it is possible to store and process massive data with Big Data. The paper proceeds tempo-spatial analysis, and visual maps, charts, and pie charts visualize the result of the investigation. We illustrate that the more vaccinated, the fewer the confirmed cases.

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Chris Collins, Roxana Cuevas, Edward Hernandez, Reece Hernandez, Breanna Le, Jongwook Woo. 2021-08-06. Scalable Analysis for Covid-19 and Vaccine Data. https://arxiv.org/abs/2108.02898

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