Processing Big Data with Apache Hadoop in the Current Challenging Era of COVID-19

Big data have become a global strategic issue, as increasingly large amounts of unstructured challenge the IT infrastructure organizations and threaten their capacity for forecasting. As experienced in former massive information issues, big technologies, such Hadoop, should efficiently tackle incoming provide with relevant processed that was formerly neither visible nor manageable. After having briefly recalled advantages solutions introductory remarks, first part this paper, we focus on currently difficult time COVID-19 pandemic. We characterize it an endemic heterogeneous context; then outline technologies Hadoop its suitability context. In second part, identify two specific solutions, globality combined flexibility, notice they are at work “Hadoop Fusion Approach” describe optimal response to third justify selected qualifications flexibility by fact enable comparable returns opposite contexts models partial submodels final exact systems. four, remark both these contexts, Hadoop’s allow range needs be fulfilled, which fits requirements previously identified current structure information. propose framework processing conditions. To best our knowledge, appear most suitable overcome challenges.