Information from operational databases and applications.
来自操作数据库和应用程序的信息。
Decision support requires historical data, whereas operational databases do not typically maintain historical data.
决策支持需要历史数据，而操作数据库一般不维护历史数据。
Processing OLAP queries in operational databases would substantially degrade the performance of operational tasks.
在操作数据库上处理OLAP查询，可能会大大降低操作任务的性能。
In this context, the data in operational databases, though abundant, is usually far from complete for decision making.
在这种情况下，操作数据库中的数据尽管很丰富，但对于决策，常常还是远远不够的。
Loosely speaking, a data warehouse refers to a database that is maintained separately from an organization's operational databases.
宽松地讲，数据仓库是一个数据库，它与组织机构的操作数据库分别维护。
In contrast, operational databases contain only detailed raw data, such as transactions, which need to be consolidated before analysis.
相比之下，操作数据库只维护详细的原始数据(如事务)，这些数据在进行分析之前需要统一。
Finally, the separation of operational databases from data warehouses is based on the different structures, contents, and USES of the data in these two systems.
最后，数据仓库与操作数据库分离是由于这两种系统中数据的结构、内容和用法都不相同。
Finally, the separation of operational databases from data warehouses is based on the different structures, contents, and USES of the data in these two systems.
最后，数据仓库与操作数据库分离是由于这两种系统中数据的结构、内容和用法都不相同。
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