摘要
在如今大数据时代,企业由单一的小系统变成复杂的多系统并存的现状以及大规模数据的产生和应用,使得企业迫切需要解决不同数据源之间的结构性差异和数据指数增长所带来的瓶颈。提出一种基于大数据的动态建模技术,有效地解决了不同数据源之间整合和重构的障碍和面向大数据的拓展性问题。
Generation and application of the status quo in today era of big data, enterprise from a single small system become more complex system coexist and large-scale data so that enterprises urgently need to address the structural differences between the data source and the data carried by the exponential growth to bottlenecks. Presents a technology based on dynamic modeling of big data, effective solution integra-tion between different data sources and reconstruction of the obstacles and problems facing the expansion of big data.
作者
胡辉
刘宇芳
蔡昭权
盛杰
刘江林
雷莉
HU Hui LIU Yu-fang CAI Zhao-quan SHENG Jie LIU Jiang-lin LEI Li(Huizhou University, Huizhou 516007 Huizhou Diewei Technology Ltd. , Huizhou 516001 Guangdong Institute of Science and Technology, Zhuhai 519090)
出处
《现代计算机》
2016年第17期8-11,共4页
Modern Computer
基金
广东省教科规划项目(No.11JXZ012
No.14JXN065)
广东省自然科学基金项目(No.S2013010013432
No.S2013010015940)
广东省教育厅项目(No.2013LYM00874)
广东省高校优秀青年创新人才培养计划资助项目(No.2013LYM_0087)
惠州市科技计划项目(No.2013B020015008
No.2014B020004026
No.2014B050013016
No.2014B020004023)
肇庆市科技计划目(No.2015B010902009)
关键词
大数据
数据重构
动态建模
Big Data
Data Reconstruction
Dynamic Modeling
