基于中间件的数据仓库增量更新算法研究

Study on a Incremental Update for a Data Warehouse Based on Middleware

数据仓库(DW)是随着时间不断变化的数据集合。因此数据增量更新技术是数据仓库技术能否成功实施的关键。在目前的数据增量更新算法基础上,给出一种采用中间件来进行数据增量更新的方案和算法。并通过实例将此方法与原增量更新算法进行了细致的比较,说明了此算法有较好的更新效率。

Data Warehouse is the data aggregation that is changing with time, so whether a Data warehouse can be put into practical effect lie on the technology of incremental update. Based on the passing incremental update arithmetic, the thesis proposed a new kind of scheme and arithmetic that use the middleware for data incremental update. According to an instance we compared meticulously the scheme and the previous one, the new update arithmetic is proved that is more efficient.