数据仓库的研究与发展现状

The Study of Data Storehouse and the Present Situation of its Development

数据仓库技术是数据库与人工智能两项计算机技术相结合的产物 ,是当今信息管理技术的主流 ,它利用人工智能中的机器学习、知识处理和神经网络等方法 ,从数据库中挖掘有用信息、发现知识、搞清数据库中大量数据之间的相互关联及众多数据之间存在的规律 ,可供使用者有效分析和利用数据库中的已存储的各种有用信息 ,以帮助决策者迅速做出决策 ,从而使企业产生巨大的经济效益 .文章介绍了现有的数据仓库工具 ,以期给国内数据仓库的开发提供一定的参考 ,并通过总结国内数据仓库市场的不足之处 ,给出解决的办法 。

Data technology is resulted from the combination of data base and computer artificial intelligence,an is now the mainstream of information management technology.It excavates useful information,finding out new knowledge,making clear the relationship and existing laws between and among the huge amount of data by applying machine learning,knowledge process and nervous network.It can enable the users to effectively analyze and use the stored information in the data base,help the policy makers to make quick decisions so that immense benefits can be obtained in the enterprises.The paper introduces the existing data storehouse tools in order to provide some references for the development of domestic data storehouse,and tries to point out the new trends of domestic data storehouse market by summarizing the weak points of the domestic data storehouse and providing the solutions to them.