模型(Model)-支持概念、逻辑和物理数据模型。
Model - Supporting conceptual, logical, and physical data modeling.
数据架构包括概念、逻辑和物理数据模型及其元数据模型。
The data architecture includes conceptual, logical and physical data models and its metadata models.
编程序地遍历和修改rda逻辑数据模型和物理数据模型。
Programmatically traverse and modify IDA logical data model and physical data model.
到目前为止，已经介绍了逻辑数据模型、领域模型和物理数据模型的概念。
You have so far seen the concept of logical data models, domain models, and physical data models.
其他IT工件，如服务模型、消息模型、对象模型和物理数据模型，可在语义上追溯到LDM，并常常由LDM直接转换。
Other IT artifacts, such as service models, message models, object models, and physical data models, can be traced to LDMs semantically and often are transformed directly from LDMs.
如果同时导入逻辑数据模型和物理数据模型，那也不必担心，因为这两个文件虽然使用相同的名称，但是使用不同的后缀。
If you are importing both logical and physical, don't worry because the files are created with the same name but different suffix.
RDA可以创建逻辑、物理和领域数据模型。
现在您可以关联来自InfoSphereDataArchitect的一个物理数据模型和公共连接存储库中的一个连接定义。
You can now associate a physical data model from InfoSphere data Architect with a connection definition in the common connection repository.
此处任务是将IDAGlossary和修改后的物理数据模型导出到InformationServer(也称为Metadata Server)。
In this task you will export the IDA Glossary and modified physical data model to the Information Server (also called the Metadata Server).
它还有助于实现逻辑数据模型和物理模型的同步。
It also helps in synchronization of logical data models and physical models.
首先创建一个物理数据模型，模型中包括一个SAMPLE数据库、一个SAMP模式和一些表和列。
Start by creating a physical data model with a SAMPLE database, creating a SAMP schema, and creating some tables and columns.
物理数据模型——物理表和列的蓝图。
Physical data models - Blueprint of your physical tables and columns.
指定上面生成的Cubing模型和目标作为物理数据模型的数据库节点，然后单击Next。
Specify the Cubing model generated above and the target as the database node of the physical data model, then click Next.
RDA提供了大量的功能在概念、逻辑和物理级别上定义数据模型，并且可根据需要在uml与informationEngineering标记法之间转换。
RDA provides extensive capabilities to define data models on a conceptual, logical and physical level and to convert between UML and Information Engineering notations as needed.
在Cubing模型中，大多数OLAP对象是从InfoSphereDataArchitect中的多维物理数据模型生成的，比如多维数据集模型、事实、维度、度量、分层结构和级别。
In the Cubing model, most OLAP objects are generated from the dimensional physical data model in InfoSphere data Architect, such as cube models, facts, dimensions, measures, hierarchies, and levels.
使用建议的方法，我们可以利用多种格式的现有资产：uml模型、逻辑或物理数据模型(ddl格式)、XSD模式和代码模块。
With the proposed approach, we can leverage existing assets of many formats: UML models, logical or physical data models (in DDL), XSD schemas, and code modules.
在使用RDA将逻辑数据模型转换为物理数据模型时，实体和属性名称根据以下规则被转换为表和列名称。
When transforming a logical data model to a physical data model using IDA, entity and attribute names are transformed to table and column names according to the following rules.
另一方面，InfoSphere数据架构中扩展的物理数据模型(PDM)，要考虑给定的数据库管理系统的限制和能力。
On the other hand, a physical data model (PDM) which carries the DBM extension in InfoSphere data Architect, takes into account the constraints and facilities of a given Database Management System.
数据建模中一种常见并被长期使用的设计模式是将数据模型分为三部分：概念模型、逻辑模型和物理模型。
A longstanding and common design pattern for data modeling is the division of the data model into three parts: a conceptual model, a logical model, and a physical model.
论文从概念、逻辑、物理层次进行了数据模型和粒度模型的设计，基本完成了数据仓库的设计。
The paper from the concept, the logic, the physical level has carried on the model design of the data model and the granularity model, basically has completed the data warehouse design.
论文从概念、逻辑、物理层次进行了数据模型和粒度模型的设计，基本完成了数据仓库的设计。
The paper from the concept, the logic, the physical level has carried on the model design of the data model and the granularity model, basically has completed the data warehouse design.
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