数据仓库发展综述
A Survey on Data Warehouse Evolution
摘要：
数据仓库（DW）技术的发展是为了集成异构信息源进行分析。信息源越来越自治，并且它们经常由于永久事务（数据变化）而改变其内容，并且可能由于持续的用户需求演变（模式变化）而改变其结构。正确处理所有类型的变化是必须的。事实上，作为现代决策支持系统核心组成部分的数据仓库，必须根据信息源的不同演化类型进行更新，以反映现实世界的分析对象。本文的目标是提出一个概述和比较研究不同的工作相关的数据仓库进化问题。
英文摘要：
The data warehouse (DW) technology was developed to integrate heterogeneous information sources for analysis purposes. Information sources are more and more autonomous and they often change their content due to perpetual transactions (data changes) and may change their structure due to continual users' requirements evolving (schema changes). Handling properly all type of changes is a must. In fact, the DW which is considered as the core component of the modern decision support systems has to be update according to different type of evolution of information sources to reflect the real world subject to analysis. The goal of this paper is to propose an overview and a comparative study between different works related to the DW evolution problem.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
