SQL Server Analysis Services(如何实现)
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Analysis Services 使您可以设计、创建和管理多维结构,(其中包含从关系数据库等其他数据源聚合的数据),并通过这种方式来支持 OLAP。对于数据挖掘应用程序,Analysis Services 允许使用多种行业标准的数据挖掘算法来设计、创建和可视化基于其他数据源的数据挖掘模型。或者也可以创建自己的数据挖掘算法,将这些算法加入到 SQL Server 中,并提供给开发人员和客户使用。下面列出的重要主题有助于您进一步了解如何安装、理解和使用 Analysis Services。概述和安装Analysis Services 概念和对象本节介绍了数据挖掘和 OLAP 的对象和概念以及统一维度模型。多维数据集简介对OLAP 感兴趣的用户会需要了解多维数据集,这是一种便于使用的数据查询机制,不但快捷,而且响应时间不会出现波动。数据挖掘概念设计数据挖掘模型解决方案是一项挑战性的任务。此资料有助于新用户和中级用户了解 SQL Server 2005 中涉及以及改进的内容。设计和创建开发Analysis Services 解决方案和项目Analysis Services 项目可以组织和管理在生成、调试和部署 Analysis Services 数据库时所需要的项。项表示要部署到某个 SQL 数据库中的对象的定义。规划Analysis Services 部署从本节可以了解准备部署 Analysis Services 项目时需要了解的问题。管理管理Analysis Services本节涵盖 Analysis Services 管理的所有方面,包括监视服务器、备份、还原和优化性能。使用数据源视图 (Analysis Services)数据源视图是 SQL Server 2005 中的新增功能,它用于描述基础数据源的架构。从本节可以了解这项重要功能的正确使用方法。备份和还原 Analysis Services 数据库加密密钥备份对于安全访问 Analysis Services 数据库至关重要。从本节可以了解其内容及其操作方法。编程MDX 语言参考 (MDX)从本节可以查找有关多维表达式 (MDX)(用于检索 OLAP 信息的主要语言)的参考文档。数据挖掘扩展插件 (DMX) 语句参考从本节查找有关数据挖掘扩展 (DMX)(用于检索数据挖掘信息的主要语言)的参考信息。本节涵盖数据定义语言 (DDL) 语句、数据操作语言 (DML) 语句和函数。请参阅其他资源SQL Server Analysis Services 帮助和信息 获取SQL Server 2005 帮助 本文是否对您有所帮助?
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