Data optimization technology is discussed.
首先讨论了数据优化技术。
Using this feature, data optimization can also be achieved at an enterprise level.
使用该功能，还可以在企业级别实现数据优化。
However, the study of the grey system theory mainly bases on the cumulative time series, which emphasizes the new data optimization and researches on real regulation.
而灰色系统理论的研究主要是基于时间序列累加，强调新息优化，研究现实规律。
Because I had no idea what was fast and what was slow, all optimization time I had spent before getting actual data was wasted.
由于我对运行速度的快慢并没有什么概念，在获得实际数据之前我所进行的优化根本就是浪费时间。
This includes creating relationships with these tables and various forms of optimization such as hints or data caching to name a couple.
这种整合包括创建与这些表的关系以及各种形式的优化，比如通过提示或数据缓存命名一个耦合。
All existing optimization guidelines continue to work in the presence of XML data type.
所有现有的优化准则可以继续作用于新出现的XML数据类型。
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。
In this case, even if the application flushes the data, it may still be buffered by the server for optimization.
在这种情况下，即便应用程序刷新数据，也仍然会由服务器缓存，以实现优化。
With this optimization, global transaction reduces the network traffic and amount of data written to the transaction log files.
有这个最优化，全局事务降低了网络的任务及写入事务日至文件的数据量。
However, the focus needs to be on the openness, data sharing and optimization.
尽管如此，最关键的还是开放性、数据共享和优化。
Immutable policy versions and the ability to check policy data completeness supports optimization for distributed and responsive environments.
不变策略版本及检查策略数据完整性的能力支持分布及响应环境的优化。
At the highest optimization level, the recompilation is performed based on dynamic profiling data automatically generated from the executing code.
在最高优化级别上，根据从正在执行的代码自动生成的动态分析数据执行重新编译。
Because runtime compilation USES profiling data to guide its optimization, the JIT may well optimize the test code differently than it would real code.
因为运行时编译使用概要数据来指导优化，所以JIT对测试代码的优化可能不同于对实际代码的优化。
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。
It also helps in generation of data migration maps, to perform dependency analysis and also helps in optimization of target system data model.
还有助于生成数据迁移映射，以执行依赖性分析，而且还有助于优化目标系统数据模型。
Like the previous optimizations, this optimization collects related data on the disk to optimize for sequential Read optimization.
与前面其他优化一样，这个优化在磁盘上收集相关的数据，以实现相邻读优化。
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。
They provide more information about the data, and enable more optimization.
信息约束提供关于数据的更多信息，并支持更多的优化。
While the data is analyzed, rules might be applied, predictive or optimization models incorporated, and different forms of output produced depending on the scenario or problem being solved.
在分析数据的同时，可能需要应用规则，需要添加预测性或优化模型，并会得到不同形式的结果，这都取决于当时的场景和要解决的问题。
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。
DB2 extends its common services, such as optimization, indexing, concurrency control, and utilities, across the traditional relational and XML column data.
DB 2对其涉及传统关系数据和xml列数据的常用服务进行了扩展，例如优化、索引、并行控制和实用工具。
The next article dives into the relationship between master data and EPCIS data, and it explores the analytics for SCM optimization in a product traceability scenario.
下一篇文章讨论主数据和EPCIS 数据之间的关系，以一个产品可跟踪性场景为例讨论 SCM优化分析。
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。
DB2 services such as optimization, indexing, concurrency control, and utilities are extended to support XML data along with the relational data.
优化、编制索引、并行控制之类的DB 2服务和实用程序都可以进行扩展，以支持XML数据以及关系数据。
This lets you do performance optimization using real data instead of guessing.
这样您可以利用真实的代码而不是猜测来对您的性能进行最优化操作。
The first of the three Storage Optimization components is compression, which examines each row in the database for recurring patterns of data.
三个StorageOptimization组件中最重要的是压缩，它分析数据库中的每一行，寻找重复出现的数据模式。
The IBM Performance Optimization Toolkit for Rational Performance Tester helps testers collect, analyze, and isolate performance data down to the root causes of a performance problem.
面向Rational性能测试人员的性能优化工具包帮助测试者收集、分析并隔离由性能问题而引发的一些性能数据。
To tell Data Studio Developer that a particular project is eligible for client optimization, follow these steps
要告诉DataStudioDeveloper一个特定项目符合客户机优化条件，请执行下列步骤
Early customer trials show that Storage Optimization reduces the amount of space required to store data either in memory or on disk by an average of 50 percent.
早期的客户试用表明，StorageOptimization使存储数据所需的内存或磁盘空间平均降低了50%。
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