Another challenging area of custom development is writing a data access layer, and Rational Rapid Developer creates all of that behind the scenes as well.
定制开发另外一个很具挑战性的领域是写数据访问层的代码，RationalRapidDeveloper能够也构建所有的幕后的代码。
Most web applications want rapid random access to many pieces of indexed data.
大多数web应用需要对很多索引数据进行快速随机访问。
As the service handles more requests for external LSIDs, the cache grows, allowing increasingly rapid access to external data.
当服务处理更多的外部LSID时，缓存的容量会增加，以允许加速对外部数据的访问。
Many concurrent users perform numerous transactions that require rapid access to data. Availability, speed, concurrency, and recoverability are key issues.
许多并发用户执行大量需要快速访问数据的事务。可用性、速度、并发和可恢复性是主要关注点。
Cartographer is a simple, efficient object relational mapper engine. It provides rapid access to relational data using lightweight data and factory Java objects.
这是个简单、效的对象-关系映射工具。它使用轻量级数据和工厂对象实现对关系数据的快速访问。
With the rapid development of mobile application, to improve the data access efficiency and ensure the consistency of mobile transactions have been two main research directions of mobile computing.
随着移动应用的飞速发展，提高移动客户机的数据访问效率，保证移动客户机所访问数据的一致性，已经成为移动计算技术的两个主要研究分支。
This patented rapid backup unit (RBU) provides fast access to up-to-date programming software and easily stores individually programmed data.
这项专利的快速备份单元(RBU)提供快速访问到最新的编程软件，轻松存储单独编程的数据。
It provides rapid access to relational data using lightweight data and factory Java objects.
它使用轻量级数据和工厂对象实现对关系数据的快速访问。
This system can stably achieves the dependable access and rapid acquirement of data.
设计出的系统能稳定地实现数据的快速获取与给定。
Cache system is one of these strategies, which realize rapid access of metadata and data. The cache system of HPVFS consists of metadata cache, compute nodes cache and storage nodes cache.
HPVFS的缓存系统包括元数据缓存、计算节点数据缓存和存储节点缓存三种，旨在实现元数据和数据的高速访问。
Data Grid is widely used in data-intensive computing, which provide rapid information retrieval and data access support for large amounts of distributed storage data resources.
数据网格广泛应用于数据密集型计算，为大数据量、分布存储数据资源提供快速的信息检索和数据访问的支持。
Data Grid is widely used in data-intensive computing, which provide rapid information retrieval and data access support for large amounts of distributed storage data resources.
数据网格广泛应用于数据密集型计算，为大数据量、分布存储数据资源提供快速的信息检索和数据访问的支持。
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