A Review of Big Data Analytics on Post-COVID Health Issues

ABSTRACT

New technology developments and its processes generate large quantities of data every day. Organizations are faced a number of problems for managing these big data. IoT (Internet of Things) devices are now used for collecting data rapidly and safely in high capacity storage devices and internet clouds. Big data has many characteristics including unstructured which does not conform to a data model. In an organization about 85% data is in unstructured format. The semi-structured data does not conform to a data model but it has some structure. The structured data is in an organized form and can be easily used by a computer program. From the year 2019 a new big data formation happened with COVID-19 pandemic in the world society. Corona virus and COVID-19 pandemic have fully affected the people and this pandemic situation has frightened the people worldwide. It has to find excellent big data analytical methods to control and solve the future problems related to this pandemic. This paper presents big data quality dimensions, big data analytics in COVID-19 pandemic, and physical and mental post-COVID health issues. © 2022 IEEE.