数据仓库技术在金融系统中的应用

Applying data warehouse technology in finance system

数据仓库技术是计算机数据库系统发展的新方向 ,近几年来许多专家为此付出很大的精力 .信息大量存在于计算机处理的系统中 ,这些信息被并没有得到充分的利用 ,通过人工智能技术 (包括数据挖掘、基于知识与规则的专家系统、神经网络等 ) ,信息才能被加工、分析、产生决策支持效果 .本文根据金融界对数据仓库的需求 ,重点介绍数据仓库的数据采集、数据加载、具体应用的过程 .使数据仓库作为未来金融市场的预测、决策分析有着重大影响的关键技术 .

Data warehouse technology is the new direction of the development of database,recently,lots of specialists pay more attention on it.More information saved in computer system is not used enough,it can only be used,analyzed,and got result of decision support by applying artificial intelligence(including:date mining,expert system based on knowledge and regulation,neural networks,etc...).The article is based on the requirement of finance system on data warehouse,mainly introduce the process of Data warehouse,like,data collection,data loading,applying,which making the data warehouse a key technology in forecasting,analyzing future finance market.