摘要
首先介绍了数据仓库的概念,数据仓库就是一个能更好地支持企业或组织决策分析处理的、面向主题的、集成的、不可更新的、随时间不断变化的数据;其次介绍了数据仓库的两大分析工具联机分析处理和数据挖掘,联机分析处理是以海量数据为基础的复杂分析技术,数据挖掘是从海量数据中,提取隐含在其中的、人们事先不知道的但又可能有用的信息和知识的过程;最后介绍数据仓库在银行、金融、电信及零售等行业中的应用,并以超市销售管理为例,利用数据仓库技术建立数据模型和体系结构。
The concept of the data warehouse is introduced at first ,the data warehouse is that one is used to support enterprise or organize decision to analyse and process better, theme -oriented,integrate, non -renewable and up to the time constantly changeable data. Then two of the data warehouses to analysis tools of analysis and process excavation ,it is complicatedness based on magnanimity data,and data exeavation is a process which abstracts information and the the courses of knowledge from magnanimity data. At last it Introduces the application in such trades as the bank, finance ,telecommunication and retailing of data warehouse, regards selling and managing in the supermarket as the example ,utilizes warehouse technology of the data to set up data model and system structure.
出处
《现代电子技术》
2005年第18期23-25,共3页
Modern Electronics Technique
关键词
数据仓库
数据挖掘
联机分析处理
决策支持
data warehouse
data mining
on - line analysis processing
decision support
