作为InfoSphereWarehouse的一个组件，CubingServices提供设计、部署和管理关系数据的多维度模型所需的所有工具。
As a component of InfoSphere Warehouse, Cubing Services provide all the tools you need to design, deploy, and administer a multidimensional model of your relational data.
如果其目标是执行多维数据分析，那么维度数据模型就是这里的惟一选择。
If the objective is to perform multidimensional data analysis, a dimensional data model would be the only choice here.
要限制角色可以访问的一个维度的多维数据集和成员，需要设计和部署一个安全模型。
To limit the cubes and members of a dimension that a role can access, you need to design and deploy a security model.
与现有安全模型中的多维数据集和维度关联的安全元数据保留在生成的安全模型中。
The security metadata associated with the cube and dimension in the existing security model are kept in the resulting security model.
每个多维数据集模型都有其自己的维度名称和度量名称，用来辨别所谓的对象名称。
Each cube model will have its own dimension names and measure names to identify called object names.
如果您修改了多维数据集模型(比如删除或重命名维度)，您可能需要修改或重新导出安全模型。
You might need to modify or re-export the security model if you modify your cube model by, for example, deleting or renaming dimensions.
Alphablox多维数据集创建后，Monitor已经创建了多维度分析需要的所有模型工件 ——表、视图和多维数据集。
Once the Alphablox cubes are created, Monitor has created all the model artifacts - the tables, views and cubes - required for dimensional analysis.
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.
因为此挖掘模型是基于多维数据的，所以您可以用此模型创建一个新的维度。
Because this Mining Model is based on multidimensional data, you can create a new dimension from it.
驻留在多维数据集中的数据。用多维数据创建的挖掘模型可用于创建维度和虚拟多维数据集。
Data that resides in a cube. A Mining Model created from multidimensional data can be used to create a dimension and a Virtual cube.
此多维数据集将包含此挖掘模型所基于的源多维数据集，以及用该挖掘模型创建的新维度。
This cube will contain the source cube this Mining Model is based on as well as the new dimension being created from the Mining Model.
用多维数据创建的挖掘模型可用于创建维度和虚拟多维数据集。
A Mining Model created from multidimensional data can be used to create a dimension and a Virtual Cube.
用多维数据创建的挖掘模型可用于创建维度和虚拟多维数据集。
A Mining Model created from multidimensional data can be used to create a dimension and a Virtual Cube.
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