随着时间的推移,数据仓库中会产生大量休眠数据,严重影响其性能。
Whether e-mails or regular documents, the need to shift large volumes of dated and dormant data to compliant archives is becoming an IT priority.不管是 email 还是普通文档,海量过期数据的归档需求将变得十分突出。
Through researching on the origin of dormant data, the identification of them, and how to do with them these three problems in this paper, we get a good effect on the performance of data warehouse.本文从休眠数据的产生、识别和处理三个方面进行研究,取得较好效果并维持数据仓库的性能不会下降。