数据仓库技术的研究现状及未来方向

Current Situation and the Future Direction of Data Warehousing Research

数据仓库和联机分析处理是决策支持系统的重要组成部分,与传统的联机事务处理不同,是对现有数据进行归纳、分析和推理,从而为决策提供支持。数据仓库是“面向主题的、集成的、稳定的和随时间变化的数据集合,主要用于决策制定”」。数据仓库的这些特点决定了它与传统的面向事务处理的数据库有着本质不同。

Data Warehouse as well as On-line Analytical Processing(OLAP) is an emerging research field in Information Technology. International researchers studied broadly and deeply in Data Warehouse architecture,data organization, view maintenance, multidimensional database (MDDB)modeling .data cube computation and other issues. This paper describes the latest developments of the research in Stanford University,IBM Almaden Research Cenrer,Wisconsin University,Microsoft and AT&T, through which depicts the current state of the art and points out the furure research directions