该项目的设计思路明确为采用数据源—操作型数据存储—模型的三层体系结构；
The project's design ideas clear for data source - operational data store - model three-tier architecture;
查询优化集中于cpu密集型(CPUbound)执行路径，而全缓存数据库将仍然集中于优化取页到大容量存储器的操作，而这已不再是问题。
Query optimization focuses on CPUbound execution paths, while a fully cached database will still be preoccupied with optimizing page fetches to mass storage that are no longer an issue.
为了简化本文中的示例场景，您将使用单个DB2数据库来存储操作型数据和仓库数据。
To simplify the sample scenarios in this article, you'll use a single DB2 database to store both the operational data and warehouse data.
本文描述的场景使用DB2pureXML中存储的操作型数据作为提取、转换和装载（ETL）任务的输入， 这些任务用于填充一个基于DB2 的数据仓库。
The scenario described in this article uses operational data stored in DB2 pureXML as input to the extract, transform, and load (ETL) job that you'll design to populate a DB2-based data warehouse.
把树型结构数据存储在关系数据库中，以便于对每一个节点进行各种有关树的操作。
When data of tree structure is stored in database, it is easy to observer modifications of each data node.
泛型允许类，结构，接口，代理还有方法被他们存储和操作数据类型参数化。
Generics permit classes, structs, interfaces, delegates, and methods to be parameterized by the types of data they store and manipulate.
泛型允许类，结构，接口，代理还有方法被他们存储和操作数据类型参数化。
Generics permit classes, structs, interfaces, delegates, and methods to be parameterized by the types of data they store and manipulate.
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