使用三种不同的和适当的预测模型数据集的预测技术。
Using three different and appropriate forecasting techniques, produce forecasting models for the data set.
使用三种不同的和适当的预测模型数据集的预测技术。
Produce a forecast for the next four periods using the most accurate of your models.
XPath语言是用来快速查询每个UML模型数据集的行和直列的。
The XPath language is used to express queries for both the rows and columns of each UML model data set.
由于数据集不是对称的，我们可以清楚地排除正态分布模型不是一个合适的选择。
As the dataset is not in a symmetrical shape, we can clearly rule out that a normal distribution model would not be a suitable choice.
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.
但是，您应该掌握如何配置多维数据集模型使之支持全球化特性。
But you should understand how to configure the cube model to support the globalization feature.
谓词可以应用于多维数据集模型中维的任何属性。
Predicates can be applied to any attribute of a dimension in a 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.
来自查询访问的多维数据集模型切片的属性。
Attributes from the slice of the cube model accessed by the query.
查询返回的数据聚合在多维数据集模型的一个切片上。
The query returns data aggregated at a single slice of the cube model.
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.
多维数据集模型可以看作星形联结或雪花形联结模式的抽象。
The cube model can be seen as an abstraction of a star-join or snowflake-join schema.
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.
本文假设多维数据集模型的维具有平衡的层次结构和标准部署。
This paper assumes the dimensions of the cube model have hierarchies of balanced type and standard deployment.
合并的两个数据集可以属于不同的数据集模型，所以它们的内部结构可能完全不同。
The two cubes that are merged can belong to different cube models, so they might have completely different internal structures.
多维数据集模型让信息消费者能够从一个新的视角理解数据。
A cube model provides a new perspective for the information consumers from which to understand their data.
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.
当您导入包含多维数据集模型的文件时，系统将提示您选择一个数据库。
You are prompted to select a database when you import the file containing your cube model.
该文件与导出多维数据集模型时创建的文件不同且单独存在。
This file is separate and different from the file that is created when you export your cube model.
由于模型文件已经进行正确的配置，您就不必再更新多维数据集模型了。
You don't need to update the cube model since the model file has been configured correctly.
数据库可以存储olap元数据，包括olap模型和多维数据集。
The database is enabled for storing OLAP metadata, including an OLAP models and cubes.
属于占位符数据集模型的虚拟数据集称为VIRTUAL。
The virtual cubes belong to a placeholder cube model called VIRTUAL.
可以使用多维数据集对多维数据集模型进行优化，使它更适应最活跃、最重要的多维数据集模型区域。
Cubes can be used when optimizing a cube model to specify the regions of the cube model that are the most active and the most important.
本文描述了如何配置多语言多维数据集模型。
This paper illustrates how to configure the multilingual cube model.
由于安全模型依赖于多维数据集模型，应该首先设计和部署多维数据集模型。
Because the security model depends on the cube model, you should design and deploy the cube model before designing and deploying the security model.
数据库可以包含物化查询表（MQT），即用于 DWEOLAP模型和多维数据集的预联结和预聚合的表。
The database may contain materialized query tables (MQTs), the pre-joined and pre-aggregated tables for DWE OLAP models and cubes.
多维数据集模型代表OLAP数据市场中的数据结构和关系。
A cube model is built to represent a data structure and relationship in an OLAP data mart.
汇总的数量取决于查询访问的多维数据集模型切片。
The amount of summarization is determined by the slice of the cube model that the query accesses.
程序集数据模型用于描述贯穿程序集步骤的分层数据。
The assembly data model is used to describe the hierarchical data that flows through the assembly steps.
优化olap模型和多维数据集。
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