  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.
