一些金融交易系统的客户端有处理庞大的数据量的需求，需要一种有效的本地数据管理和缓存机制。
Some financial trading systems have the requirement of handling a large amount of data on their client side, and an effective local data management and cache mechanism is needed.
我们推荐一种更好的战略：从程序设计的视角分析数据需求，让一个信号量保护的数据量更少。
We recommend a better strategy: to remain aware of the data requirements from a program design viewpoint and have a semaphore protect smaller amounts of data.
估算测试数据需求并确定创建足够的有效测试数据量以进行容量和负载测试。
Estimate the test data requirements and identify ways of creating an adequate volume of valid test data for volume and load testing.
Percolator更适合于在高一致性及在数据量和CPU等方面有很高需求的计算任务。
Percolator is better suited when the computation requires strong consistency and has very large requirements in terms of data size, CPU,...
web上和内部数据存储中非结构化和半结构化数据量的爆炸式增长，促进了对对智能且高效的数据挖掘的需求。
The sheer volume of unstructured and semi-structured data found on the web and in internal data stores increases the need for intelligent and effective data mining.
Internet扩展指的是在数据量处于TB (terabyte)和PB (petabyte)的年代，根据需求进行扩展并及时地处理该数据量的能力。
Internet-scale refers to the terabyte and petabyte age of data sizes and the ability to scale to meet the processing requirements to handle this amount of data in a timely manner.
为适应无线传感器网络大数据量传输的需求，提出一种基于能量优先的拥塞缓解机制(PECR)。
To adapt the need of large data transportation in wireless sensors networks, a scheme of priority of energy congestion relief (PECR) is presented.
数据量增大，解决方案的复杂性以及云使用的增加将增大对系统管理和合并的需求。
Systems management and integration requirements intensify as data volumes, solution complexity, and cloud usage accelerate.
随着数据量以指数方式增长，在数据管理、可视化、整合、分析、建模和预测的工具和方法的需求上有一个类似的增长。
As the amount of data grows exponentially, there is a parallel growth in the demand for tools and methods in data management, visualization, integration, analysis, modeling, and prediction.
随着数据量以指数方式增长，在数据管理、可视化、整合、分析、建模和预测的工具和方法的需求上有一个类似的增长。
As the amount of data grows exponentially, there is a parallel growth in the demand for tools and methods in data management, visualization, integration, analysis, modeling, and prediction.
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