These multidimensional OLAP, or MOLAP, products typically run faster than other approaches, primarily because it's possible to index directly into the data cube's structure to collect subsets of data.
这些多维的OLAP产品，即MOLAP产品，运行速度通常比其他方法更快，这是因为能直接把索引做进数据立方的结构，方便收集数据子集。
When talking about a data mart, many people might immediately think about multidimensional or OLAP analysis.
在谈到数据市场时，许多人可能会立即想到多维或OLAP分析。
Cursor interfaces: JOLAP's cursor interfaces define the functionality to manage multidimensional result sets returned by OLAP queries.
游标接口：jolap的游标接口定义用于管理OLAP查询返回的多维结果集的功能。
In this article, we name the data mart specifically designed for the multidimensional analytics as the OLAP data mart. The DB2 DWE OLAP data mart is a database with the following characteristics.
在本文中，我们将专门为多维分析设计的数据市场称为OLAP数据市场。
Over the past few years, OLAP has become an increasingly popular approach to handling multidimensional data for warehousing and business intelligence.
在过去几年，OLAP逐渐成为处理数据仓库和商业智能使用的多维数据的流行方法。
OLAP is a kind of multidimensional data analysis technology, which emphasizes on the data analysis in data warehouse, and provides aid decision information for managers.
OLAP技术是一种多维数据分析技术，侧重于数据仓库中的数据分析，为管理者决策提供信息支持。
OLAP organizes multidimensional data against data cube model, which is convenient to queries.
OLAP按照数据立方体模型组织多维数据，从而方便了查询。
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.
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。
Because the OLAP is multidimensional, the multidimensional data modeling techniques attract humans general attentions and wide interests.
由于OLAP具有多维特征，因此多维数据建模技术引起了人们的普遍关注和广泛兴趣。
In order to support the applications of OLAP and data mining simultaneously, we gave the orientation that the multidimensional data model become the common data basic of OLAP and data mining,.
为了实现联机分析处理和数据挖掘的紧密结合，我们提出在多维数据模式的基础上同时支持OLAP应用和数据挖掘应用的思路。
Based on the drilling data warehouse, this paper designs and implements OLAP system focus on the chosen theme, it enables output the result in the forms of multidimensional data tables to users.
本文在钻井数据仓库基础之上，针对所选主题设计和实现了OLAP多维分析功能，将用户分析结果以多维数据表形式输出。
Multidimensional modeling adopt XML as standard of metadata exchanging among the OLAP tool, thus realize the integrates and mutualing of each function component.
在OLAP多维建模工具中采用了XML作为元数据交换的标准，从而实现各个功能构件的集成与交互。
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.
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.
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。
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