Abstract
In this technological era, the technology of databases is very essential to
many aspects of modern life. To give the prospective medical practitioner, the finest in
class and most recent medical knowledge, it seems mandatory that education in the
health domain be well-integrated with the most recent databases. This is because there
is a growing demand for it and there are benefits from the collaboration of healthrelated issues of the public and database technology. Database technology can help
improve health in several ways, including connecting geographically separated health
providers and patients, collecting data for research studies like drug and vaccine trials,
keeping track of chronic diseases, and guaranteeing that patients follow their prescribed
treatments. In this pandemic situation of COVID-19, which the whole world is
currently suffering, the current paper attempts to emphasize the databases’ role. It
illustrates how the COVID-19 Dataset can be stored, queried, and analyzed, and helps
in providing decision support to various end-users. We have performed descriptive
analysis by executing specific queries on the COVID-19 Dataset. Then, we performed
predictive analysis using two data analysis techniques on the COVID-19 Dataset to
approximate the situation in some major cities of India. Further, we have visualized our
results to get valuable information from our analysis.