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, analytic,[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 petabytes of data.[6] Scientists regularly encounter this problem in meteorology, genomics,[7] connectors, complex physics simulations,[8] biological and environmental research,[9] Internet search, finance and business informatics.
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