Over last few years, innovation in Hadoop and other related Big Data technologies in last few years brings on to the table a lot of promises around better management of enterprise data at much lesser cost and with high value business benefits. In this paper, we propose to delve into details of these challenges from practitioners' perspective based on lessons learnt from various Big Data implementation scenarios. We also aim to discuss the emerging concept of Hadoop as Big Data Operating System to address these challenges with a holistic proposition. Finally, we also plan to provide a prescriptive approach based on best practices which can help moving towards the vision of Enterprise Big Data Platform using Hadoop as Data Operating System balancing between short term objectives and long term goals of managing and maintaining Enterprise Big Data Platform.
The Coronavirus disease-2019 (COVID-19), has become a worldwide pandemic and the scientific communities are struggling to find out the ultimate treatment strategies against this lethal virus, Severe Acute Respiratory Syndrome Coronavirus–2 (SARS-CoV-2). Presently, there is no potential chemically proven antiviral therapy available in the market which can effectively combat the infection caused by this deadly virus. Few vaccines are already developed but it is not clear to the scientific community how much efficient they are to combat SARS-CoV-2. Mode of transmission and symptoms of the disease are two important factors in this regard. Rapid diagnosis of the COVID-19 is very much important to stop its spreading. In this scenario, a complete study starting from symptoms of the disease to vaccine development including various SARS-CoV-2 detection techniques is very much required. In this review article, we have made a partial analysis on the origin, virology, global health, detection techniques, replication pathways, doses, mode of actions of probable drugs, and vaccine development for SARS-CoV-2.
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