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。
The local approach to OLAP reporting is broken down into two simple steps: metadata and data fetch.
本地的OLAP报表方法分为两个简单的步骤：元数据和数据获取。
A new approach to decision support system is put forward based on related techniques and development methods of data warehouse for the shortage of relational database in the aspect of OLAP.
针对关系型数据库在联机分析方面的不足，利用数据仓库的相关技术和开发方法，提出了决策支持系统开发的一种新途径。
Data warehouse systems are nowadays widely spread approach for OLAP. In order to integrate several data warehouses into a data warehouse, the technical and semantic problems must be solved.
数据仓库系统正广泛用于联机分析处理系统，为了能将多个数据仓库集成到一起，需要解决技术上和语义上的一些问题。
The IT-intensive approach is one of managed reporting, end-user query, OLAP, dashboards, scorecards and data mining.
与IT紧密相关的办法是管理报告，终端用户查询，多维分析，仪表板，记分卡和数据挖掘的一种。
Data warehouses and OLAP are necessary elements of decision support. They can help decision makers to effectively approach, analyze and understand problems.
数据仓库和OLAP是决策支持系统的重要组成部分，它们能够帮助决策者有效的分析和理解问题。
Data warehouses and OLAP are necessary elements of decision support. They can help decision makers to effectively approach, analyze and understand problems.
数据仓库和OLAP是决策支持系统的重要组成部分，它们能够帮助决策者有效的分析和理解问题。
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