这意味着每个已定义的多维数据集每分钟重新构建其元数据，从而引发处理开销和数据库操作。
This means that each defined cube rebuilds its metadata every minute and thus incurs processing overhead as well as database activity.
现在用户可以生成ddl，在以后将它用于多维模式部署，并从多维物理数据模型执行以下操作。
Now the user can generate DDL, which can be used for the dimensional schema deployment later, from the dimensional physical data model.
要删除多维数据集模型中与一个多维数据集关联的安全元数据，使用AdministrationConsole执行以下操作。
To remove the security metadata associated with a cube in your cube model, use the Administration Console to do the following.
刷新操作使您得以清除多维数据集并用原有的数据对它进行重写。
Refresh allows you to clear your cube and repopulate it with existing data.
本文设计的方案完全可以达到预期的要求，具有较好的快速响应性能和多维分析性能，能有效地完成数据仓库的OLAP操作。
The design meets all anticipation, and has good performance in quick response and multi-dimensional analysis, which ensures its operation in OLAP on database.
本文设计的方案完全可以达到预期的要求，具有较好的快速响应性能和多维分析性能，能有效地完成数据仓库的OLAP操作。
The design meets all anticipation, and has good performance in quick response and multi-dimensional analysis, which ensures its operation in OLAP on database.
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