Before the modern era of personal computing, it was impossible to collect and analyze data in a wide variety of methods found on big data technology. The analytical knowledge of big data room for people to identify a new cures and better understanding a number of diseases and health care. Hence, there are a number of issues that need to be further addressed. The major focus of this study is to deliver a review of studies that utilized big data issues during pandemic COVID-19 in 2020. The study is implemented by ten phases, includes defining research questions, scope review, conduct study, extracting all papers, paper screening, relevant papers, search more specific keywords, classification scheme, data extraction and systematic map. A detailed review studies were selected from January 2020 until December 2020 based on sources from Web of Science (WoS). This study highlights three key words: big data, business intelligence and business analytics. The findings of the study show that, the field of computer science is the most frequent publication in 2020 with 14 journal publications related to the field of computer science. Nevertheless, Sustainability journal showed the highest number of publications in 2020. Followed by the journals of Future Generation Computer Science and Basic and Clinical Pharmacology & Toxicology, Applied Science-Basel, and the International Journal of Information Management. © 2021 IEEE.
A Review of Big Data: Trends and Popular Issues during Pandemic COVID-19 in 2020