Because many programmers have existing data that does not reside in DB2 UDB databases, IBM offers both transparent access to this data with federation capabilities.
因为许多程序员拥有的数据并不在DB 2UDB数据库中，IBM通过联邦功能提供了对这些数据的透明访问。
Implementations of the data federation pattern vary in their capabilities which specific source models they can integrate.
数据联合模式的实现在其可以集成的具体源模型的能力方面各有不同。
Understanding the capabilities of the data source enables the federation server to push down more functionality to that data source, which generally improves performance.
理解数据源的能力之后，联邦服务器就可以将更多的功能下推到那个数据源，这通常可以提高性能。
Therefore, most implementations of the data federation pattern focus less on complex transformation capabilities and more on query optimization technologies.
因此，大部分数据联合模式的实现对复杂转换功能的关注相对较少，而更强调查询优化技术。
Which operations should the federation server delegate to the sources in order to better exploit their capabilities, to reduce data transfer, and to optimize the overall performance?
联合服务器应将哪些操作委派给源，以便更好地利用源的功能、减少数据传输以及优化总体性能？
On the other hand, data federation increasingly requires data transformation capabilities to improve data quality and flexibility.
另一方面，数据联盟越来越需要数据的转换性能来提高数据的质量和灵活性。
Many implementations of the data federation pattern have limited capabilities to manipulate data.
数据联合的很多实现具有受限的数据操作功能。
Enovia platform provides federation capabilities to integrate data coming from other systems.
Enovia平台提供的是联合功能，能够集成来自其他系统的数据。
Enovia platform provides federation capabilities to integrate data coming from other systems.
Enovia平台提供的是联合功能，能够集成来自其他系统的数据。
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