Before time began. There was the cube.
在时间产生之前，有一块立方体。
First, configure the cube facts properties.
首先，配置多维数据集事实属性。
And then the cube of that is 10 to the minus 30th.
1埃的立方等于10的负30次方。
And the cube was lost to the far reaches of space.
这个立方体也在宇宙空间里消失不见了。
We can find instances of the cube across the world.
我们可以在世界各地找到立方体实例。
Baby boys do not react at all to the difference and the size of the cube.
男婴对立方体的大小和差异完全没有反应。
Put together the SQL statement for the cube model query.
将多维数据集模型查询的sql语句组合起来。
Select the cube model on the Manage cube Models page.
在ManageCubeModels页面上选择多维数据集模型。
Press FIRE to reset the cube to the original position.
按FIRE 可将立方体重新设置为初始位置。
In Part 2, you'll learn how to set up the cube summary tables.
在第2部分中，您将学习如何建立多维数据集摘要表。
Attributes from the slice of the cube model accessed by the query.
来自查询访问的多维数据集模型切片的属性。
The following steps create a description of the cube model query.
以下步骤创建多维数据集模型查询的描述。
Import metadata from SAP BW queries rather than selecting the cube.
从SAPBW查询导入元数据而不是选择立方体。
Because the cube is so small, one byte is enough to hold one coordinate.
由于这个立方体非常小，1个字节足以容纳一个坐标。
The query returns data aggregated at a single slice of the cube model.
查询返回的数据聚合在多维数据集模型的一个切片上。
The GAME_C key switches between rotating, translating, and scaling the cube.
game_c键在旋转、平移和缩放立方体之间切换。
The next step will be to import the cube and publish it to IBM Cognos 10.
下一步是导入多维数据集并将其发布到IBM Cognos 10。
A slice includes a level from a hierarchy of each dimension of the cube model.
一个切片包含来自多维数据集模型的每个维的层次结构的一个级。
In Part 2 of this series, we'll focus on how to set up the cube summary tables.
在本系列的第2部分中，我们将主要关注如何建立多维数据集摘要表。
The resulting Texture2D object is then set as the texture for the cube appearance.
所得到的Texture2D对象随后被设置为立方体外观的纹理。
This only affects the virtual cube, and not the cube that contains the dimension.
这仅影响虚拟数据集，而不影响包含该维度的数据集。
You don't need to update the cube model since the model file has been configured correctly.
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。
The instructions can also be applied to queries based on the cube and cube-related objects.
这些说明也可以应用于基于多维数据集和多维数据集相关对象的查询。
But you should understand how to configure the cube model to support the globalization feature.
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。
The security model does not contain the actual definition of these OLAP objects—the cube model does.
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 amount of summarization is determined by the slice of the cube model that the query accesses.
汇总的数量取决于查询访问的多维数据集模型切片。
In each case, the light is white, directly in front of the camera, and faces three sides of the cube.
这里的光线均为白色，就在摄像机前面，朝向立方体的三个面。
SQL queries can be constructed to retrieve OLAP data based on either the cube model or cube 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。
The PY? format should only be used if model load time forms a significant part of the cube build times.
PY格式应该只有在模型加载时间占用了大部分分析构建时间的时候才使用。
The PY? format should only be used if model load time forms a significant part of the cube build times.
PY格式应该只有在模型加载时间占用了大部分分析构建时间的时候才使用。
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