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当前大数据应用存在的问题,是连接方式和数据质量的问题,具体表现为:(1)分散的数据孤岛,体系与体系间不连接;(2)体系与体系间存在连接,但连接过于粗放或过于细微;(3)数据的质量不高,导致错误的场景和错误的映像重现,出现错误的连接和错误的决策。本文基于大数据应用中存在的问题提出“全局数据”的进化概念。全局数据具有场景化、开放性、即时性、可度量和价值化的五大
The current problems with big data applications are the problems of connection methods and data quality. The specific problems are as follows: (1) Dispersed data islands with no connection between the system and the system; (2) there is a connection between the system and the system, but the connection is too extensive Or too subtle; (3) the quality of the data is not high, causing erroneous scenarios and erroneous image reproduction, erroneous connections and erroneous decisions. This paper proposes the evolutionary concept of “global data” based on the existing problems in big data applications. Global data with the scene, open, real-time, measurable and value of the five