A physical data model can be used to generate data definition language (DDL) statements which can then be deployed to a database server.
可以使用物理数据模型来生成数据定义语言(ddl)语句,然后可以将这些语句部署到一个数据库服务器上。
This may be seem like a bad thing at first, but it enables you to generate multiple physical data models from the same logical model.
乍一看来,这似乎是件坏事,但是这使您可以从一个逻辑模型生成多个物理数据模型。
Now the user can generate DDL, which can be used for the dimensional schema deployment later, from the dimensional physical data model.
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。
Click Finish to generate the dimensional physical data model.
单击Finish将生成多维物理数据模型。
In general, reports such as the physical Data model and Column reports can be applied directly to a physical model to generate reports, while the blank reports are used as templates for customization.
通常,Physical Data Model和Column等报告可直接应用到一个物理模型上以生成报告,而blank报告则用作定制模板。
For vertical alignment, this should be consistent with the physical data model that is used to generate the database schema.
为了取得垂直对齐,这应该与用于生成数据模式的物理数据模型一致。
All you need to do is to generate the physical data model that corresponds to your conceptual data model.
唯一还需要做的事情就是生成与概念数据模型相对应的物理数据模型。
All you need to do is to generate the physical data model that corresponds to your conceptual data model.
唯一还需要做的事情就是生成与概念数据模型相对应的物理数据模型。
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