Two examples of contemporary applications of big data in science

 

5.     Give two examples of contemporary applications of big data in science



Data science has evolved as a way to make sense of big data. These analyses allow researchers and companies to make data-driven decisions. Getting trained in data science can help researchers analyze and manage their data sets. Data science can also be used to better allocate research resources.

 

·       The NASA Center for Climate Simulation (NCCS) stores 32 petabytes of climate observations and simulations on the Discover supercomputing cluster.

 

·       Google's DNAStack compiles and organizes DNA samples of genetic data from around the world to identify diseases and other medical defects. These fast and exact calculations eliminate any "friction points", or human errors that could be made by one of the numerous science and biology experts working with the DNA. DNAStack, a part of Google Genomics, allows scientists to use the vast sample of resources from Google's search server to scale social experiments that would usually take years, instantly

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https://en.wikipedia.org/wiki/Big_data#Science

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