The cube has one square and four triangles.
这个立方体有一个正方形和四个三角形。
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。
Before time began, there was the Cube.
在时间创生之前，就有了立方体。
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。
Now start the cube you have just configured.
现在启动刚刚配置的多维数据集。
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。
Optimus Prime: Before time began, there was the Cube.
擎天柱：在时间创生之前，就有了立方体。
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。
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。
The cube would complete a rotation in the span of one year.
这个立方体完成一次旋转需要一年的时间。
You use the rest of the class members to draw the cube.
使用其余的类成员即可绘制出立方体。
Optimus Prime: Before time began, there was... the cube.
擎天柱：在时代的开始之前，这里有一个立方体。
Each side of the cube has two sides: a front and a back.
立方体的每一面都有正反两面。
It is recommended to choose a query rather than the cube.
我们建议选择查询而不是立方体。
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。
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。
The cube model contains a set of (dimension, join) references.
多维数据集模型包含一组(dimension,join)引用。
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。
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。
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。
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。
The cube model can be seen as an abstraction of a star-join or snowflake-join schema.
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.
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。
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