Rapidly making in-roads into the scientific research domain, the potential of big data in advancing research is undeniable.
Traditionally though, big data has always been used by scientists. Large data sets were used by high-energy particle and nuclear physics. When the Human Genome Project finished mapping in 2003, they were sitting on a data set worth 3 billion in alphabets.
Of course, this is discounting the many codes for specific proteins which would make this number even more fantastic!
What has now changed is the magnitude and the scope of data. New-age sciences like the -omics (genomics, proteomics etc.), astrophysics, and astronomers in particular, are looking to harness big data and analytics to answer questions long in the dark.