这些对象引用多维数据集模型中使用的事实、维、层次结构和级对象，它们与多维数据集模型中的这些对象是相似的。
These objects reference the facts, dimension, hierarchy, and level objects that are used in the cube model, and they are similar to these objects in the cube model.
安全模型并不包含这些OLAP对象的实际定义 —那是多维数据集模型的工作。
The security model does not contain the actual definition of these OLAP objects—the cube model does.
生成针对数据仓库表的查询所需的大多数信息存储在多维数据集模型相关对象中。
Most of the information required to generate queries against the data warehouse tables is stored in the cube model-related objects.
多维数据集模型包含元数据对象，这些对象描述基表数据中的关系以及相关数据位于什么地方。
A cube model contains metadata objects that describe relationships within the data that resides in the base tables and also describes where pertinent data is located.
然后使用多维数据集模型对象中的联结对象将事实表与每个维对象的表联结起来。
The join objects in the cube model object are then used to join the tables of the facts with the tables of each of the dimension objects.
可以根据多维数据集模型或多维数据集对象构造SQL查询来获得OLAP数据。
SQL queries can be constructed to retrieve OLAP data based on either the cube model or cube objects.
来自维、事实和多维数据集模型的联结对象用来形成where子句的联结谓词。
The join objects from the dimensions, facts, and cube model are used to form the join predicates of the WHERE clause.
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.
from子句由来自维、事实和多维数据集模型的联结对象的表组成。
The from clause is made up of the tables from the join objects from the dimensions, facts, and cube model.
olap多维数据集具有一组特定的、类似但却更多限制性的、衍生自父多维数据集模型的元数据对象，这些对象包括多维数据集维、多维数据集层次结构、多维数据集层和一个多维数据集事实对象。
An OLAP cube has a specific set of similar but more restrictive metadata objects derived from the parent cube model, including cube dimensions, cube hierarchies, cube levels, and a cube facts object.
将查询中的维联结到事实对象的多维数据集模型对象引用的联结。
Joins referenced by the cube model object, which join the dimensions in the query to the facts object.
您应该熟悉DB 2CubeViews元数据对象，比如多维数据集模型、事实对象、维、联结、度量和属性。
You should be familiar with DB2 cube Views metadata objects, such as cube models, facts objects, dimensions, joins, measures, and attributes.
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.
成功导入OLAP对象之后，检查导入的Cube模型和多维数据集的详细信息。
Review the detailed Information of the cube model and cubes imported after OLAP objects are successfully imported, as shown in Figure 11.
根据用户的多维数据分析需求，设计出面向对象的私有多维元模型。
According to the requirement of user's multidimensional data analysis, we design an private object-oriented multidimensional metadata model.
根据用户的多维数据分析需求，设计出面向对象的私有多维元模型。
According to the requirement of user's multidimensional data analysis, we design an private object-oriented multidimensional metadata model.
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