monteza

In information technology, big data^[1][2] consists of data sets that grow so large and complex that they become awkward to work with using on-hand database management tools. Difficulties include capture, storage,^[3] search, sharing, analytics,^[4] and visualizing. This trend continues because of the benefits of working with larger and larger data sets allowing analysts to "spot business trends, prevent diseases, combat crime."^[5] Though a moving target, current limits are on the order of petabytes, exabytes and zettabytes of data.^[6] Scientists regularly encounter this problem in meteorology, genomics,^[7] connectomics, complex physics simulations,^[8] biological and environmental research,^[9] Internet search, finance and business informatics. Data sets also grow in size because they are increasingly being gathered by ubiquitous information-sensing mobile devices, aerial sensory technologies (remote sensing), software logs, cameras, microphones, Radio-frequency identification readers, and wireless sensor networks.^[10][11] The world’s technological per capita capacity to store information has roughly doubled every 40 months since the 1980s (about every 3 years)^[12] and every day 2.5 quintillion bytes of data are created.^[13]