The CWM makes a clear distinction between client-side metadata, which a client requires to query OLAP resources, and server-side metadata, which an OLAP server needs to process a client request.
CWM清楚地区分客户端元数据与服务器端元数据，客户机需要前者来查询OLAP资源，而 OLAP服务器需要后者来处理客户机请求。
The database is enabled for storing OLAP metadata, including an OLAP models and cubes.
数据库可以存储olap元数据，包括olap模型和多维数据集。
JOLAP's query model deals with OLAP query management, and its source model facilitates the implementation of vendor-specific primitive OLAP extensions.
JOLAP的查询模型处理OLAP查询管理，它的源模型方便了特定于供应商的OLAP原语扩展的实现。
Design Studio cannot only be used for designing, managing and deploying OLAP models and cubes, but also allows for exchanging OLAP metadata with other business intelligence tools.
DesignStudio不但可以用来设计、管理和部署olap模型和多维数据集，还可以用来与其他商业智能工具交换olap元数据。
OLAP models and OLAP cubes are two critical concepts in DB2 DWE OLAP services.
olap模型和olap多维数据集是DB 2DWE OLAP服务中的两个重要概念。
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。
Data warehouse stores volumes of historical data, and OLAP applications involve complex queries on these data. Queries optimization is the key of improving the speed of OLAP response.
数据仓库存储大量历史数据，OLAP应用涉及到对大面积历史数据的复杂查询，查询优化是提高OLAP响应速度的关键。
Basing on the extended star model, We design logical and physical data model of OLAP and provide a solution to create OLAP data model having general interface of visiting data.
在扩展星型模型的基础上，设计了多维逻辑模型和物理模型，并给出了一种具有通用数据访问接口的OLAP模型生成方案。
By analyzing the concept and system frame of data warehouse and OLAP, describe one method for design and implementation of OLAP.
通过对数据仓库和OLAP概念及体系结构的分析，描述了一种OLAP应用系统的设计方案，并介绍了它的具体实现方法。
This kind of model can apply to OLAP, and can improve the speed of OLAP queries in data cubes effectively.
这种模型可以应用到OLAP中，并能够有效提高OLAP查询多维数据的速度。
The technology of OLAP based on data warehouse is introduced, and the data model of the OLAP is studied.
对数据仓库的数据建模技术进行了探讨，接下来对数据仓库建模的方法及具体的步骤进行了详细的讨论和分析。
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。
Absrtact: By analyzing the concept and system frame of data warehouse and OLAP, describe one method for design and implementation of OLAP.
摘要：通过对数据仓库和OLAP概念及体系结构的分析，描述了一种OLAP应用系统的设计方案，并介绍了它的具体实现方法。
Chapter Three introduced data warehouse, OLAP, multi-dimension at first, then discussed OLAP technique based on statistical data.
第三章首先介绍了数据仓库、OLAP与多维分析、OLAP的实施等内容，重点讨论了基于统计数据的OLAP技术。
Chapter Three introduced data warehouse, OLAP, multi-dimension at first, then discussed OLAP technique based on statistical data.
第三章首先介绍了数据仓库、OLAP与多维分析、OLAP的实施等内容，重点讨论了基于统计数据的OLAP技术。
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