On Cloud Analytical Database Management Systems Suitable for Data Intensive Biomedical Related Research |Biomedgrid

Per to Worldometer [1], as of mid-December 2020, there are more than 77 million Covid-19 cases worldwide with more than 1.7 million deaths worldwide. Unfortunately, with the second wave hitting many countries, positive cases are increasing rapidly at astonishing rates. Along with that, a large amount of data, both directly and indirectly related to Covid-19, is generated ready to be minded supporting decision makers, scientists, corporations, drug makers, etc. [2]. Two immediate questions naturally would be (2) where we should store the data and (2) what Database Management Systems (DBMS) we should use to analyze the data? To benefit from easy access and to accommodate sharp growth in data volume, it is hard to dispute that the data should be stored in the cloud. In this position paper, we will present our recommendations based on our more than five years of using different Analytical DBMS (ADBMS, also called data warehouses in many articles), which we will discuss briefly next.