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。
Query optimization technology in DB2 9.7 provides increased efficiency for processing queries against relational views of XML data.
DB 2 9.7中的查询优化技术能够提高针对XML数据的关系视图的查询处理效率。
This optimization feature enables applications to efficiently query XML data through a traditional relational interface with SQL queries.
这种优化特性让应用程序能够使用SQL查询通过传统的关系接口高效地查询XML数据。
In view of the significance of query decomposition and optimization in the Heterogeneous Data Resource Integration System, in-depth research on this aspect was mainly conducted.
考虑到查询分解及查询优化在异构数据集成系统中的重要意义，主要就这一方面进行了深入研究。
As a module embedded in reactive power optimization software, the engine performs the key functions of parsing and processing SQL, data access, data organization and query management.
该引擎作为一个模块嵌在无功优化软件中，主要完成解释执行SQL语句、数据存取、数据组织及查询处理等功能。
Size estimation of multidimensional views of data warehouse is a fundamental step for data cube design, warehouse storage planning, and query optimization.
对数据仓库多维视图进行容量估计是数据立方体设计、数据仓库存储规划和实施查询优化的基础。
Data warehouses stores volumes of historical data, and OLAP applications involve complex queries on these data. Since response time should be small, query optimization is critical.
数据仓库存储大量历史数据，OLAP应用涉及到对大面积历史数据的复杂查询，查询优化是提高OLAP响应速度的关键。
There are also some new key techniques for the system here, such as data model, query language model, routing policy, query processing, optimization strategy, and bidirectional delivery mechanism.
给出了系统中的关键技术，包括数据模型、查询语言模型、路由策略、查询处理及优化策略，以及双向递交机制。
Query optimization: the goals of query optimization in distributed data integration system are different from those in traditional database system.
查询优化：分布式数据集成系统查询优化的目标与集中式数据库有所不同。
Simulation results show that this algorithm has a better performance of query optimization in data integration system, no matter how many the query relations are.
仿真结果表明，该算法在数据集成系统环境中，无论参与查询的关系数目多少，均有较好的查询优化性能。
In detail it includes the optimization of data source, cube, MDX and the adoption of multi-thread technique and the development of intelligent query division.
具体包括数据源、立方体和MDX的优化以及多线程技术的采用和查询智能拆分的开发。
In detail it includes the optimization of data source, cube, MDX and the adoption of multi-thread technique and the development of intelligent query division.
具体包括数据源、立方体和MDX的优化以及多线程技术的采用和查询智能拆分的开发。
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