Big data-From Wikipedia In information technology, big data[1][2] is a collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools or traditional data processing applications. The challenges include capture, curation, storage,[3] search, sharing, analysis,[4] and visualization. The trend to larger data sets is due to the additional information derivable from analysis of a single large set of related data, as compared to separate smaller sets with the same total amount of data, allowing correlations to be found to "spot business trends, determine quality of research, prevent diseases, link legal citations, combat crime, and determine real-time roadway traffic conditions."[5][6][7] 在信息技术中，“大数据”是指一些使用目前现有数据库管理工具或传统数据处理应用很难处理的大型而复杂的数据集。其挑战包括采集、管理、存储、搜索、共享、分析和可视化。更大的数据集的趋势是由于从相关数据的单一大数据集推导而来的额外信息，与分离的较小的具有相同数据总量的数据集相比，能够发现相关性来“识别商业趋势（spot business trends）、确定研究的质量、预防疾病、法律引用链接、打击犯罪以及实时确定道路交通状态”。 As of 2012, limits on the size of data sets that are feasible to process in a reasonable amount of time were on the order of exabytes of data.[8][9] Scientists regularly encounter limitations due to large data sets in many areas, including meteorology, genomics,[10] connectomics, complex physics simulations,[11] and biological and environmental research.[12] The limitations also affect Internet search, finance and business informatics. Data sets grow in size in part because they are increasingly being gathered by ubiquitous information-sensing mobile devices, aerial sensory technologies (remote sensing), software logs, cameras, microp...
