Merging data from heterogeneous data stores 合并来自异类数据存储区的数据
Replication allows you to integrate heterogeneous data in two ways 复制使您能够以两种方式集成异类数据:
The analysis to outliers normally called as outlier datamining 对异类数据的分析处理通常就称为异类挖掘。
Describes how sql server 2005 references heterogeneous data sources 介绍sql server 2005如何引用异类数据源。
Distributed queries access data from multiple heterogeneous data sources 分布式查询从多异类数据源中访问数据。
Combine data from heterogeneous data sources into a single homogenous structure 将来自异类数据源的数据组合为单个同类结构。
Information of interest to the user is typically distributed among multiple heterogeneous data sources 用户所关心的信息通常分布在多个异类数据源中。
The type of replication configuration used for integrating heterogeneous data depends on the source and destination for the data 集成异类数据所使用的复制配置的类型取决于数据的源和目标:
Heterogeneous data stored in various relational and nonrelational data sources accessed by using an ole db provider 存储在各种可以使用ole db访问接口访问的关系和非关系数据源中的异类数据。
The ability to issue distributed queries , updates , commands , and transactions on heterogeneous data sources across the enterprise 能够对企业内的异类数据源发出分布式查询、更新、命令和事务。