摘要
现有混合型大数据多源集成系统存在集成度较低、耦合度较低的缺陷,为了解决上述问题,引入复变函数对混合型大数据多源集成系统进行设计。根据现有系统存在的问题,搭建系统架构,以此为基础,对系统硬件计算机体系进行设计,主要由处理单元、存储单元与输入输出单元组成。系统软件主要包括数据库模块、数据查询模块与混合型数据多源集成模块。通过系统硬件与软件的设计,实现了混合型大数据多源集成系统的运行。通过测试得到,与现有混合型大数据多源集成系统相比,设计的混合型大数据多源集成系统极大地提升了集成度与耦合度,充分说明设计的混合型大数据多源集成系统具备更好的数据集成效果。
The function of complex variable is introduced to design a mixed big data multi⁃source integrated system to deal with the defects that the existing mixed big data multi⁃source integrated system has low level of integration and degree of coupling.The system architecture is built in consideration of the existing system problems.The hardware computer system is designed on the basis of the built system architecture,which is mainly composed of processing unit,storage unit and input and output unit.The software of the system mainly includes database module,data query module and mixed data multi⁃source integrated module.The operation of mixed big data multi⁃source integrated system is realized by designing the system hardware and software.The test results show that,compared with the existing mixed big data multi⁃source integrated system,the mixed big data multi⁃source integrated system greatly improves the level of integration and coupling degree,which fully demonstrates that the designed mixed big data multi⁃source integrated system has better effect of data integration.
作者
周志进
ZHOU Zhijin(College of Mathematics and Information Science,Guiyang University,Guiyang 550000,China)
出处
《现代电子技术》
北大核心
2020年第1期183-186,共4页
Modern Electronics Technique
基金
2019年度贵阳市科技局贵阳学院科技专项资金（GYU-KYZ(2019~2020）PT06-01）
关键词
复变函数
混合型大数据
多源集成系统
集成度
耦合度
数据管理子模块
function of complex variable
mixed big data
multi⁃source integrated system
level of integration
degree of coupling
data management sub⁃module
