摘要
目前很多大型企业的核心业务采用二级部署模式,此模式下总部对全公司范围内业务数据进行全面即时统计分析时会存在数据量大、存储分散、需求变化响应不及时以及手工统计填报等问题.基于以上问题,设计了一种基于分级存储环境的多维数据分析软件.该产品能够让用户从不同视角分析业务数据,快速形成满足业务工作需要的数据视图,最后通过报表的形式进行展示.该产品已成功应用于国家电网公司,具有一定的经济效益和理论价值.
Currently, many large corporations adopt secondary deployment pattern in their core business. However, when head office analyzes the company-wide data timely and fully in this model, it may cause problems of large amount of data, scattered data storage, not timely responding to the changes in requirements and handiwork statistics. In this paper, based on the above problems, a multidimensional data analysis technology and software tool which can support the end users on-demand self-service data analysis are proposed. The software can analyze data according to different requirements of users, form a data view quickly, and show data through report forms finally. Furthermore, this flexible, efficient, practical and real-time data analysis tool has been successfully applied to State Grid Corporation of China(SGCC), which shows that it has some value in theory and practical applications.
出处
《计算机系统应用》
2016年第3期251-256,共6页
Computer Systems & Applications
关键词
分布式
数据即时应用
模型构建
内存计算
distributed
real-time application
model building
memory computing