但是您可以采用将一个四维数据结构看作是多个三维立方体的方式来理解四维数据结构。
But you can conceptualize a four-dimensional data structure by thinking of the fourth dimension as multiple three-dimensional cubes.
由于数据立方体是一个非常有用的解释工具，所以大多数OLAP产品都围绕着按多维阵列建立立方模型这样一个结构编制。
Since data cubes are such a useful interpretation tool, most OLAP products are built around a structure in which the cube is modeled as a multidimensional array.
多维数据库中的超立方体结构应用于对海量数据的多维分析中。
The cube in multidimensional database is used in the multidimensional analysis of the huge data.
该数据仓库建立技术包括数据组织体系结构、数据采集、抽取、加载、数据立方体及OLAP功能查询技术。
The techniques of the Data Warehousing includes the system structure of the data organization, the data collecting, data extraction, data loading, data cube and OLAP query technique.
该数据仓库建立技术包括数据组织体系结构、数据采集、抽取、加载、数据立方体及OLAP功能查询技术。
The techniques of the Data Warehousing includes the system structure of the data organization, the data collecting, data extraction, data loading, data cube and OLAP query technique.
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