作者: Zhu Han , Mehdi Bennis , Dan Wang , Taekyoung Kwon , Shuguang Cui
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摘要: Big data is more than a matter of size; it an emerging paradigm very large size (volume) and fast in/out (velocity), from various sources (variety), high value for knowledge extraction decision making. Technological advances in gathering have led to rapid proliferation big diverse areas such as remote sensing, medicine, the Internet, social sectors. Such brings opportunities challenges scientists engineers. In order us make use this massive amount data, new management computational approaches are needed permit engineers analyze (nearly) real time, often distributed or streaming manner. Various technologies being discussed, some been realized, support handling data. addition, dataset cannot be stored one location, massively parallel processing databases scalable storage systems designed store datasets. What more, generates industry supporting architectures; many cloud computing platforms frameworks developed handle operations, MapReduce. To deal with different properties algorithms also need developed. Overall, opportunity find insights types content, models agile, answer questions that were previously considered beyond our reach. The purpose special highlight recent advancement address era.