To achieve performance improvements, they also need to operate on large scale data - they rely on large scale cluster processing.
为了提升性能，他们还需要操纵大范围数据：使用大范围集群处理。
Big data processing and analytics using Hadoop provides a framework to take advantage of these resources by distributing the workload into a cluster of computers.
使用Hadoop的大规模数据处理与分析提供了一个框架，通过将工作负载分散到一个计算机集群中来充分利用这些资源。
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。
The High-Performance Computing Cluster is mainly used to process complex calculation problem, or applied in large scientific calculation domain, such as petroleum exploration seismic data processing.
高性能集群主要用于处理复杂的计算问题，或应用于大规模科学计算领域，例如对石油勘探地震资料进行处理。
With its good performance cost and high operation speed, the cluster has become one of the main platforms of seismic data processing.
微机集群凭借其良好的性价比和高效的运算速度已逐渐成为地震数据处理的主要平台。
A kind of traditional data cluster algorithm based on grid used the method of the fixed network division, with its faster processing but low accuracy.
传统的基于网格的数据流聚类算法采用固定划分网格的方法，虽然算法的处理速度较快，但是聚类准确性较低。
Researchers are getting more and more attentions to cluster analysis, since it involved in many fields such as statistics, data mining, machine learning and image processing, etc.
聚类分析涉及到统计学、数据挖掘、机器学习和图像处理等多个领域，人们对它研究热情日益高涨。
So if a cluster is capable of processing a file of size 15GB, it is good enough for Big Data.
因此，如果一个集群能够处理15GB大小的文件，那这对于处理大数据来说便足够了。
Baseline is very important to spaceborne interferometric SAR system design and data processing. For a micro-satellite cluster system, stability is an important problem for spatial baseline of INSAR.
基线在星载干涉SAR的系统设计和数据处理中起着非常重要的作用，对于微小卫星编队系统来说稳定性问题是干涉SAR空间基线的一个重要问题。
The most important development procedure of the software system of data acquisition and processing in cluster monitoring center of bridge are expatiated on in this paper.
在前面分析的基础上，完成了开放式体系结构的桥梁集群中心数据采集处理软件系统的结构组成设计和功能设计；
Results According to the theory of cluster analysis processing, the data of resistance levels were clustered to four categories to 4 groups.
结果通过聚类分析，将河北省德国小蠊的抗药性水平分为4类。
The principal component analysis and cluster analysis could be perfectly applied in data processing in inorganic elements.
主成分分析法和聚类分析法是藠头无机元素含量分析的有效方法。
The principal component analysis and cluster analysis could be perfectly applied in data processing in inorganic elements.
主成分分析法和聚类分析法是藠头无机元素含量分析的有效方法。
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