To scale data should be duplicated instead of being normalized.
为了提高可伸缩性，数据应该重复而非正规化。
The strength of this tool is for large scale data movement.
这个工具最适合大规模数据转移。
An important method to deal with large-scale data is to classify them.
处理海量数据的一个重要方法就是将它们分类。
An important method to deal with large-scale data is to classify them.
处理这些海量数据的一个重要方法就是将它们分类。
Analytic systems today must be able to handle Internet-scale data volumes.
当今的分析系统必须能够处理Internet扩展的数据量。
Cluster storage is an important solution to large-scale data storage systems.
集群存储是解决大规模数据存储的重要方法。
These functions also internally scale data values from one range to another, using the same algorithm in Step 2.
使用步骤2中的相同算法，这些函数也可以内部地将数据值按比例从一个范围缩放到另一个范围。
These functions also internally scale data values from one range to another using the same algorithm in step2.
使用步骤2中的相同算法，这些函数也可以内部地将数据值按比例从一个范围缩放到另一个范围。
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。
One way to think about R is that it's an efficient, flexible tool for managing, summarizing, and exploiting large-scale data.
应该认识到 R是一个可以管理、总结和利用大规模数据的有效而灵活的工具。
The studying contents of stepless scale data management technique of digital human body were introduced firstly in this paper.
本文首先介绍了数字人体无级比例尺数据管理技术的研究内容；
Since its introduction in 1984, GAUSS has been a standard for serious number crunching and complex modeling of large-scale data.
从1984年推广使用以来，Gauss也成为大规模数据处理和复杂建模的标准。
Using data mining techniques can access to the correct, interesting and potentially valuable knowledge from the large-scale data.
利用数据挖掘技术能够从大规模的数据中获取正确的、有趣的、潜在有价值的知识。
Abstract CUDA is a parallel computing architecture introduced by NVIDIA, it mainly used for large scale data-intensive computing.
摘要CUDA是一种由NVIDIA推出的并行计算架构，非常适合大规模数据密集型计算。
Large scale data warehouses are considered in addition to single service data marts, and the unique data requirements are mapped out.
除了单个服务数据集市，还考虑了大规模的数据仓库，并制定了惟一性数据需求。
We recently wrote about a new massive scale data mashup called PolicyMap that could likely benefit from something like this, for example.
不久前我们就提到过PolicyMap，当作是举例说明一个新兴的获利模式。
It's a challenging problem to improve the scalability, adaptability and performance of replica location service in large-scale data grids.
如何提高副本定位服务的可扩展性和自适应性，是大规模数据网格系统面临的重要难题。
Next Albright did what he called a "medium-scale data analysis," crawling and indexing 117 websites that are known to be associated with fake news.
接下来，奥尔布·莱特进行了一轮“中等规模的数据分析”，探索分析了117个已知的与假新闻有关的网站。
Collection of biological data points require simple to complex analysis of small, medium and large scale data describing cell structures and events.
生物学数据点的收集需要描述细胞结构和事件的小、中、大规模数据的从简单到复杂的分析。
A new PricewaterhouseCoopers Technology report explains how the Semantic Web and Linked data can help enterprises manage their large-scale data better.
普华永道(PricewaterhouseCoopers)最新的一封技术报告(link)阐释了语义网和连接数据将如何更好的帮助企业管理大规模的数据。
It drives data transportation through exigency report and interest demand, and can be used in large scale data collecting and environmental monitoring.
该协议由紧急上报和兴趣命令驱动数据传输，适用于大规模数据采集与环境监测。
Kreps described how LinkedIn crunches 120 billion relationships per day and blends large scale data computation with high volume, low latency site serving.
Kreps介绍了Linked in每天是如何处理1.2千亿个关系并通过高容量、低延迟的站点服务来混合大量的数据计算的。
High performance computer technology is the base of the modern scientific and technological researches, engineering development and large-scale data processing.
高性能计算机技术是现代科学技术研究、工程技术开发和大规模数据处理的基础。
Large-scale data acquisition may bring the danger of congestion in the condition of limited hardware limits, cause large consumptions of nodes or even network paralysis.
在有限的硬件条件下，大规模数据采集易使网络产生拥塞现象，并造成节点能耗大幅度增加，严重时会造成网络的瘫痪。
The answer, according to PwC, is Semantic Web techniques. PwC believes that the Semantic Web offers a practical way to address the problem of large-scale data integration.
根据普华永道的报告，问题的答案是语义网技术，普华永道相信，语义网为解决大规模的数据整合问题提供了一种实际可行的方法。
Traditional Support Vector Machine (SVM), which based on batch training, can't satisfy the real-time requirement of environmental pollution prediction with large scale data.
传统支持向量机基于批量训练方法，无法适应环境污染预测中的海量数据与实时性要求。
Can utilize the geographical data of foundation in existing GIS database based on single scale, produce mult-scale data synthetically through automatic cartographic generalization.
可以利用已有的基于单一比例尺的GIS数据库中的基础地理数据，通过自动制图综合生成多比例尺数据。
This paper introduces three methods to realize composite logic function with medium - scale data selector: the common method, the expanding method and the dimension - reducing method.
介绍了用中规模集成电路数据选择器实现组合逻辑函数的三种方法：常用方法、扩展法、降维法。
Particularly in large-scale data processing to the original Gauss wave million for the improvement of law-equation in a significant way to enhancing the speed of data processing systems.
特别是在大规模数据的处理上，对原有的高斯消元法解方程进行了改进，在很大程度上提高了系统处理数据的速度。
Particularly in large-scale data processing to the original Gauss wave million for the improvement of law-equation in a significant way to enhancing the speed of data processing systems.
特别是在大规模数据的处理上，对原有的高斯消元法解方程进行了改进，在很大程度上提高了系统处理数据的速度。
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