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- distribute data warehouses 分布式数据仓库
- It was at this point that data warehouses -- collections of data extraction and analysis tools -- appeared. 正是在这种情况下，数据仓库（大量数据提取和分析工具）出现了。
- Once the hype fades away, we can more objectively sort through the claims for the differences between data warehouses and data marts. 一旦宣传热潮降下温来，我们就能更客观地区分数据仓库和数据集市之间差别的说法。
- The data in data warehouses and data marts is usually updated frequently, and the data loads are typically very large. 数据仓库和数据集市中的数据通常会频繁更新,因此数据加载量通常会很大。
- Administrators, application writers, and analysts operating data warehouses can benefit from task automation. 管理员、应用程序编写人员以及操作数据仓库的分析人员可以从任务自动化中获益。
- Data warehouses usually store many months or years of data. This is to support historical analysis. 数据仓库内通常会存储数月甚至数年的数据。这些数据被用于历史分析。
- In data warehouses, materialized views are used to compute and store aggregated data such as sums and averages. 在数据仓库中，物化视图被用来计算和存储总计性的数据，比如求和和平均数。
- Later Data Mart which is small Data Warehouses and Data Warehouse-based Decision Support System will be discussed. 对数据仓库的开发流程进行了探讨，最后提出建立基于数据仓库系统的决策支持系统的新方法。
- Data warehouses are widely used in retail trade, finance and insurance; that produce many ways of data extraction. 数据仓库技术在零售、银行、保险等行业得到应用,产生了许多数据析取方法。
- Or maybe you've heard of data warehousing. 或者你可能听说过数据仓储。
- Traditional data warehouses and OLAP applications emphasize particularly on the historic data analysis. 摘要传统数据仓库及OLAP应用侧重对历史数据的分析。
- A row in a fact table in a data warehouse. 数据仓库的事实数据表中的行。
- A subset of the contents of a data warehouse. 数据仓库内容的子集。
- Add an event to the SSAS data warehouse. 在SSAS数据仓库中添加事件。
- Consider Adventure Works Cycles, which implements merge replication to distribute data to its remote sales force. 请考虑Adventure Works Cycles,它为把数据分发给远程销售部门而实现合并复制。
- The source of data is the data warehouse. 它的源数据来自于数据仓库。
- NET data warehouse data extraction DTS . 数据仓库 数据抽取 DTS .
- These cultural changes are the result of a reassessment of data warehouses,in terms of degree of difficulty,cost,complexity and likelihood of success. 这些文化的改变是在困难度、代价、复杂性和成功的可能性方面对数据仓库再评估结果。
- Once the hype fades away,we can more objectively sort through the claims for the differences between data warehouses and data marts. 一旦宣传热潮降下温来，我们就能更客观地区分数据仓库和数据集市之间差别的说法。
- Describes how to manage distributed data in partitions. 说明如何管理分区中的分布式数据。
