Abstract
The novel coronavirus has been impacting human society since 2019. The global death toll has exceeded 400 million as of October 2021. To better understand the dynamic of COVID-19, big data technologies can in principle be applied to provide the overview and the preview for how it spread spatially and temporally. This chapter introduces how big data helps in terms of tracking, processing, visualizing, and analyzing COVID-19 information by illustrating the major components of data visualization designs. Topics cover a broad range of cutting-edge techniques that deal with a variety of big data problems, such as data aggregation, data preprocessing, big data pipeline construction, data workflow architecture design, visual mining, and web-based dashboard development.
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