PureQuery is a high-performance data access platform that makes it easier to develop, optimize, secure, and manage data access. It consists of.
pureQuery是一个高性能的数据访问平台，可以简化数据访问的开发、优化、保护和管理。
Therefore, leave the default access intent policies until you are able to run the load test to determine whether or not there are data integrity, deadlock, or performance problems.
因此，在您有能力运行负载测试来确定是否有数据完整性、死锁或性能问题之前，请保留缺省访问目的策略不变。
Decouple access to the integrated target data from the process of integrating and transforming data from sources into the target in order to allow for scalability and performance.
分离对集成目标数据的访问与将不同来源的数据集成和转换到目标的过程，以提供好的可伸缩性和性能。
If the highest performance is needed, the data access service can often be implemented as a database stored procedure.
如果需要最高的性能，通常可以将数据访问服务作为数据库存储过程实现。
It is at this stage of design that data access requirements and performance factors need to be considered in some detail.
在设计的这个阶段，就需要较为详细地考虑数据访问需求和性能因素。
A stored procedure is a popular feature that is widely used for improving data access performance.
存储过程是一种很受欢迎的功能，它广泛用于提高数据访问性能。
Performance can also be enhanced by striping the data over multiple data servers for parallel access.
还可以通过在多个数据服务器上分段数据进行并行访问来增强性能。
The rest of this section takes you through the access path graph one more time from the data flow perspective so that you can gain a full understanding of the performance aspect of query execution.
本节的其余部分再一次以数据流的观点向您介绍访问路径图以便您可以在查询执行的性能方面获得充分的理解。
From a performance point of view, a good performing access path should touch the least amount of data with respect to the final result set.
从性能的角度来看，一个良好表现的访问路径相对于最终的结果集应该触及最少的数据量。
This article and the examples provided are intended for developers and testers who require access to detailed performance data.
本文以及文中的示例是为需要访问详细的性能数据的开发人员和测试人员准备的。
Two important performance considerations are the order in which you access data sources and the number of those sources.
访问数据源的顺序和数据源的数目，这是两个重要的性能注意事项。
The ability to efficiently manage concurrent access is determined by the performance characteristic of the data federation server as well as the integrated source servers.
有效管理并发访问的能力由数据联合服务器和所集成的源服务器的性能特征决定。
Since each database partition has local indexes on its data there is increased performance for local data access.
由于每个数据库分区都有它的数据上的本地索引，因此提高了本地数据访问的性能。
Developers must write code to implement the data access layer, including optimizing SQL queries, caching results to optimize performance, without compromising an application's footprint.
开发人员必须编写代码来实现数据访问层，包括优化SQL查询、缓存结果以优化性能，而不会损害应用程序的规模。
True grid processing, where an application is distributed across multiple processes such that execution is always co-located with the data, providing in-process data access performance.
真正的网格处理，其中应用程序跨多个进程分布，使执行始终与数据共存，从而提供进程内数据访问性能。
To to minimize access latency, and thus improve performance, it's best to have your data in the closest memory.
为了尽可能减少访问延时并由此提高性能，最好把数据放在最近的内存中。
The other features of IBM SONAS further aids to centrally manage the UNIX data and provide high data access performance to applications and services.
IBMSONAS的其他特性进一步帮助集中地管理UNIX数据，向应用程序和服务提供高性能的数据访问。
Sequential access, as exhibited by data warehouse activities, does not produce as great a performance improvement with SSDs as does random access.
在数据仓库活动所用到的顺序存取中，SSD的性能提升没有随机访问那么大。
More performance intensive, because more database access is required, for every data element stored there.
存储在那里的每一个数据元素都需要更多的性能加强，因为需要更多的数据库访问。
Data Server tier, part of data Grid, buffers database access by caching objects in-memory for higher performance.
数据服务器层是数据网格的组成部分，通过在内存中缓存对象来缓冲数据库访问，以实现更高的性能。
Minimize performance tuning of data access tasks.
将数据访问任务的性能调优降到最低。
Applications that frequently access the data in this memory set (currently limited to the database working set) will likely experience a performance improvement.
经常访问该内存集(目前限制为数据库工作集)中的数据的应用程序将极有可能体验到性能改善。
XMLBeans scores well on performance by doing incremental unmarshalling and providing xget methods to access built-in schema data types.
通过增量解组(incrementalunmarshalling)并提供xget方法来访问内置的模式数据类型，XMLBeans取得了较好的性能。
Though this improves performance, it is not an optimal solution because the table is larger and all applications that manipulate or access the data must include logic that handles ucname.
尽管这样做改善了性能，但并不是理想的解决方案，因为表非常大，而且所有需要操纵或访问数据的应用程序必须包括处理 ucname 的逻辑。
Because workloads with high Symmetrix cache read-hit rates are serviced at memory access speed, storing the data needed on EFDs may not result in a significant increase in performance.
因为具有高symmetrix缓存读中率的工作负载都是以内存访问速度实现的，所以在EFD中存储所需要的数据可能不会对性能有大的改进。
MDC is a type of indexing that improves performance by reducing the amount of disk reads needed to access data, and by improving the speed of required disk input and output.
MDC是一种索引化(indexing)类型，它通过减少访问数据时需要的磁盘读取次数，以及通过提高磁盘输入输出所需要的速度来提高性能。
Ajax, through its utilization of rich UI controls and access to Web-based data, enables major improvements to Web application responsiveness and performance.
Ajax通过利用丰富的用户界面控件和对基于Web的数据的访问，主要改进了Web应用程序响应能力和性能。
Data access (Advanced) : By partitioning the data model structure and converting DAOs to access directly the XAP In-Memory data Grid, read and write performance is improved.
数据存取(高级)：通过划分数据模型结构和把DAO转换成直接访问XAP内存数据网格，改进读写性能。
Web apps simply don't provide the responsiveness, performance, whizzy graphics and access to local data that users crave, and they only work when you're connected to the Internet.
Web应用只是不能提供快速响应、高性能、绚丽的图形和用户渴望的本地数据访问，并且它们只能在你连上互联网的时候工作。
IBM Optim development Studio V2.2.1 - an IDE that speeds application development and deployment while increasing data access performance and manageability.
IBMOptim DevelopmentStudioV2.2.1—是加速应用程序开发与部署的IDE，能够提高数据访问性能与可管理性。
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