Distributed data processing How are distributed data and processing functions handled?
分布数据处理分布的数据和过程函数如何处理？
The distributed data processing, the database, the virtual reality, the information processing and the information fusion technologies were expatiated in the key technology part.
对其关键技术，主要研究了分布处理技术、数据库技术、虚拟现实技术、信息处理技术和信息融合技术。
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 the initial example above, the key data was user profiles, which could be distributed (partitioned) across a set of machines for parallel processing.
在上例中，关键数据是用户配置文件，可以跨一组机器分布(分区)以进行并行处理。
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。
Take advantage of the data source processing strengths and unique optimizations, by sending distributed requests to the data sources for processing.
将分布式请求发送到数据源进行处理，利用数据源的处理能力和特有的优化能力。
Input data is partitioned in such a way that it can be distributed among a cluster of machines for processing in parallel.
输入数据使用这样一种方法进行分区，即在并行处理的计算机集群中分区的方法。
As a conceptual framework for processing huge data sets, MapReduce is highly optimized for distributed problem-solving using a large number of computers.
作为处理大数据集的概念框架，MapReduce对于使用许多计算机来解决分布式问题而言是高度优化的。
Mail, then you are a user of "cloud computing," in which the storage and processing resources that data require are distributed among a vast network of servers.
Mail之类的网络电子邮箱服务，那么你就是一个“云计算”的用户。“云”中的数据存储和处理资源分布在一个巨大的服务器网络之间。
As a distributed framework, Hadoop enables many applications that benefit from parallelization of data processing.
作为分布式框架，Hadoop让许多应用程序能够受益于并行数据处理。
Since the Data Capture and Delivery component typically runs in a distributed platform and has limited resources for processing and storing data, the data must be forwarded to a server platform.
因为DataCapture andDelivery组件通常运行在用于储存和处理数据的资源比较有限的分布式平台中，所以必须将数据转发到服务器平台中。
Although Hadoop is the core of data reduction for some of the largest search engines, it's better described as a framework for the distributed processing of data.
尽管Hadoop是一些大型搜索引擎数据缩减功能的核心部分，但是它实际上是一个分布式数据处理框架。
The point of this exercise is to create a system that allows the MapReduce magic of distributed processing of large amounts of data to happen closer to the data itself.
这项工作的关键点在于创建一个系统。这个系统允许MapReduce算法在尽可能靠近数据本身的地方采用分布式处理大量数据。
Compensate for SQL limitations at the data source by processing parts of a distributed request at the federated server.
在联邦服务器上处理一部分分布式请求，弥补SQL在数据源上的限制。
The distributed data query is the core of the distributed database managing system, but the optimized query algorithm is the key technology in query processing.
分布式数据查询是分布式数据库管理系统的核心，而查询优化算法又是查询处理中的关键技术。
A distributed file system like HDFS allows storing static files for batch processing. Effectively a system like this allows storing and processing historical data from the past.
像hdfs分布式文件处理系统，允许存储静态数据用于批处理，能使得系统在处理和分析过往的历史数据时更为有效。
The two core components are the Hadoop Distributed File System for storing data and Hadoop MapReduce for writing parallel-processing jobs.
其中两个核心组件是用于存储数据的HadoopDistributedFile System (Hadoop分布式文件系统)和用于写入并行处理任务的HadoopMapReduce。
For the distributed database systems, query processing becomes more difficult because of distribution and redundance of data.
在分布式数据库系统中，由于数据的分布和冗余，查询处理变得更为复杂。
Written procedures may be filed and distributed by automated data processing equipment.
书面步骤也可以通过自动数据处理设备来成文或发布。
By separating service processing and customer interaction, it achieves the multilayer distributed applying system structure of thin customer, business service and data service.
将业务处理与客户交互分开，实现瘦客户、业务服务、数据服务的多层分布式应用体系结构。
The distributed system structure and integrated multi-layer data processing in software account for success of the system with satisfying performances in real operation.
得益于这种分布式系统结构以及分层数据处理方式，系统在实际运行中表现出了良好的性能。
In distributed system, task of control and data acquisition is completed by single-chip microcomputer, and data processing is carried out by PC.
在分布式微机控制及数据采集系统中，控制与数据采集由单片机实现，复杂数据的处理越来越多地由PC机完成。
In order to deal with the problems including slow interactive data retrieval and so on, a special distributed and parallel model was given for logging data processing systems.
针对测井数据处理系统中交互数据检索速度慢等一系列问题，提出一个专用分布式并行模型。
Practical application reveals that in logging curve processing system employing the distributed algorithm can greatly save data processing time, improve the data processing capacity of the system.
应用表明在测井曲线处理系统中应用分布式算法，可以缩短数据的处理时间，提高数据的处理能力。
One of goal of distributed database design is data processing locally, namely allocating fragments to the issuing sites so that the remote communication cost will be reduced.
分布式数据库设计的主要目标之一就是数据处理的本地性，即使数据尽可能存放在使用它们的应用所在的节点上，从而减少远程访问所需的通信代价。
There are also many problems about how to organize distributed data storage and parallel processing whether on technology or on theory to research.
然而，组织数据的方式和并行处理的方法无论在理论上还是在技术上都有许多问题需要研究。
The data acquisition sub-system USES distributed optical fiber grating temperature sensor system to measure the temperature of the cables, and transmits the data to the data processing sub-system.
系统利用分布式光纤光栅温度传感器对电力线路温度数据进行实时检测，然后将检测到的温度数据传送至数据处理部分。
The data acquisition sub-system USES distributed optical fiber grating temperature sensor system to measure the temperature of the cables, and transmits the data to the data processing sub-system.
系统利用分布式光纤光栅温度传感器对电力线路温度数据进行实时检测，然后将检测到的温度数据传送至数据处理部分。
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