摘要
互联网信息时代背景下,各行各业信息化水平空前提升,产生了海量数据信息,它们在为企业管理决策提供参考的同时,也为数据管理增加了一定的难度。无效的数据管理不仅会增加企业管理成本,而且降低了企业数据管理效率。在云计算、大数据技术支持下,建立企业数据管理系统尤为重要。文章研究分析了企业数据模型的需求,构建了企业数据管理模型整体架构,并对其具体实现进行分析,以期为企业数据管理提供可靠的参考。
Under the background of the Internet information age,the information level of all walks of life has been unprecedentedly improved,resulting in a large amount of data information,which not only provides reference for enterprise management decision-making,but also increases the difficulty of data management.Ineffective data management will not only increase the cost of enterprise management,but also reduce the efficiency of enterprise data management.With the support of modern cloud computing technology and big data technology,it is particularly important to establish an enterprise data management system.This paper studies and analyzes the requirements of enterprise data model,constructs the overall architecture of enterprise data management model,and analyzes its specific implementation,in order to provide a reliable reference for enterprise data management.
作者
石兴
SHI Xing(Guoneng Railway Equipment Co.,Ltd.,Beijing 100048,China)
出处
《数字通信世界》
2022年第3期35-37,共3页
Digital Communication World
关键词
数据模型
企业数据管理
部门级
企业专题级
主数据
业务数据
data model
enterprise data management
department level
enterprise thematic level
master data
business data
