In typical warehouse environments, recent data changes frequently while historical data is more or less static and this makes partition level reorg invaluable for reorganizing only the active data.
在典型的数据仓库环境中，最新的数据变化频繁，而历史数据变化相对较小，这使得分区级别的REORG对于针对活动数据的重组尤为重要。
Active rules have been efficiently applied in many lines such as industry controls, workflow processes, active data warehouse, and biologic information management.
在工业控制系统、工作流管理、主动数据仓库、生物信息管理等众多领域都充分利用了主动规则机制。
The paper discusses the difference between traditional data warehouse and active real-time data warehouse, and presents a new architecture of active real-time data warehouse.
主动实时数据仓库的提出用来零延时地获取数据和减少正确做出商业决策的时间。
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