OLAP按照数据立方体模型组织多维数据，从而方便了查询。
OLAP organizes multidimensional data against data cube model, which is convenient to queries.
另外根据实际应用背景，提出了一种混合数据立方体模型，并给出了其相应的查询和增量更新算法。
According to the practical context, this thesis raises a kind of hybrid data cube model and its query and incremental update algorithm.
本文提出了数据超立方体模型，并在代数表达方面进行了改进，使得其可以支持OLAP操作。
In this paper, we address this issue by proposing a model of a data-cube and an algebra to support OLAP operations on this cube.
方法：对业务数据的特性进行分析，从数据模型和数据立方体的角度组织和展现数据。
Methods: Analyze the characteristics of operational data, from the perspective of data model and cube data to organize and show the data.
多维数据立方体是数据仓库和OLAP服务器的主要数据组织模型，多维数据立方体格的实现占用大量的时间和空间资源。
Multidimensional data cube is the major data model of data warehouse and OLAP server, but implementation of Multidimensional data Cuboids lattice is really time-consuming and space-consuming task.
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.
上面一行是三个由分子计算机模型进行数据处理后获得的不同的RNA对象：左起分别为八个RNA组成的RNA反棱柱体、六链RNA立方体以及十链RNA立方体；
Top row, three different RNA objects rendered from molecular computer models: from left, RNA antiprism composed of eight RNAs, a six-stranded RNA cube, and a 10-stranded RNA cube.
上面一行是三个由分子计算机模型进行数据处理后获得的不同的RNA对象：左起分别为八个RNA组成的RNA反棱柱体、六链RNA立方体以及十链RNA立方体；
Top row, three different RNA objects rendered from molecular computer models: from left, RNA antiprism composed of eight RNAs, a six-stranded RNA cube, and a 10-stranded RNA cube.
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