To solve that problem, OODT provides transparent access to distributed resources, functionality for data discovery and query optimization, as well as distributed processing and virtual archives.
为了解决那个问题，OODT提供了对分布式资源的透明访问、数据恢复和查询优化功能以及分布式处理和虚拟存档。
However, optimization decisions are a complex function of various attributes, including the database environment and query characteristics, as well as the data itself.
然而，优化决策是各种属性的复杂函数，这些属性包括数据库环境、查询特征以及数据本身。
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。
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