DW视图维护技术的性能分析
Performance Analysis of View Maintenance Techniques for DW
摘要：
数据仓库将集成信息存储为来自一个或多个远程源的数据的物化视图。必须维护这些物化视图以响应远程源中的实际关系更新。将数据仓库视图维护技术分为自维护重计算、非自维护重计算、自维护增量维护和非自维护增量维护四大类。本文提供了一个全面的比较，在这四个类别中的技术的数据仓库空间使用和访问的行数，以传播更新从远程数据源到目标物化视图在数据仓库。
英文摘要：
A Data Warehouse stores integrated information as materialized views over data from one or more remote sources. These materialized views must be maintained in response to actual relation updates in the remote sources. The data warehouse view maintenance techniques are classified into four major categories self maintainable recomputation, not self maintainable recomputation, self maintainable incremental maintenance, and not self maintainable incremental maintenance. This paper provides a comprehensive comparison of the techniques in these four categories in terms of the data warehouse space usage and number of rows accessed in order to propagate an update from a remote data source to a target materialized view in the data warehouse.
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。
