传感器与芯片将产生海量数据。
但是，海量数据也提出了风险。
列存储主要是用来储存并处理海量数据的。
Column Family Stores. These were created to store and process very large amounts of data distributed over many machines.
海量数据与隐私大问题。
MGI认为，海量数据能够催生新一波的生产力增长。
MGI argues that the data deluge could create a new wave of productivity growth.
成功的网站应该能够过滤、组织和个人化这些海量数据。
Successful products of this era of the Web will be ones that filter, structure and personalize this vast amount of data coming onto the Web.
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.
通过本文了解这项IBM为管理其海量数据而开发的标准。
Learn more about this standard that IBM produced to help organize its vast amount of data.
为得到精确的、可操作的结果而必须或能够处理的海量数据
The vast amount of data that you must process, or you can process, to produce accurate and actionable results
组织试图在将海量数据转换成有价值的业务知识时获得竞争优势。
Organizations seek to gain a competitive advantage as they strive to transform extraordinary quantities of data into valuable business knowledge.
决策者迫切需要将海量数据转换成有价值的信息和知识。
Decision makers need to convert large volume of data into valuable information and knowledge.
无需多少想象力，人们便能发现所有这些传感器将会生成海量数据。
It does not take much imagination to see that all these sensors will generate immense amounts of data.
因此，相关的信息只能通过深入分析海量数据和已存在的工件来获得。
Thus, the relevant information can be obtained only by in-depth analysis of massive amounts of data and existing artifacts.
但对于处理这样海量数据的科学家们来说同样是一个巨大的挑战。
But it posed a big challenge to researchers in biology, who had to deal with the ensuing deluge of data.
这个小组讨论的题目是“情报，洞察力以及信息：海量数据的机遇与危险”。
The panel was titled "Intelligence, Intuition, and Information: The Promise and Peril of Big Data."
不知道读者们是否看见或者预见了对处理海量数据集的快速增长的需求了没有？
Do you see or foresee an increasing need for working with large data sets?
该技术可让企业在第三方运营的服务器构成的巨型货仓内，存储和处理海量数据。
This lets companies store and process vast amounts of data in huge warehouses of servers run by third parties.
数据挖掘就是从海量数据中提取知识，又被称为数据库中的知识发现。
Data Mining, also known as knowledge Discovery in Database, distills knowledge from a mass of data.
他们正计划公布海量数据，其范围涵盖了从考试成绩到手术病人康复所用的时间。
It is planning to release a deluge of data on matters ranging from school exams to the time spent in hospital by patients recovering from surgery.
它可以毫不费力的运用海量数据，而且根本不需要忙里偷闲玩会开心农场来放松大脑。
It could draw on huge amounts of data effortlessly. It wouldn't even take breaks to play Farmville.
比起基于精巧的规则，现代人工智能的研究更多的是基于实例——源自海量数据的实例。
This approach of relying on examples — on massive amounts of data — rather than on cleverly composed rules, is a pervasive theme in modern A.I. work.
我们的测试项目由博士团队基于海量数据开发，反映了当今最权威的研究结果。
Developed by PhDs and statistically sound, our test reflects the best research available.
Bigtable让你可以通过一些主键来组织海量数据，并实现高效的查询。
It allows you to organize massive amounts of data by some primary key and efficiently query the data.
网络传输也不是什么问题，越来越强大的高速网络让海量数据和视频文件传送变得易如反掌。
Increasingly powerful high-speed networks that make zipping around massive data and video files easy haven't hurt either.
商业分析软件通过在短时间内分析海量数据，能够为各种类型的问题提供各种可操作的见解。
Business analytics software can provide this and other types of actionable insights for these and other types of problems by analyzing huge amounts of data in a short period of time.
组织使用数据挖掘来分析海量数据，以产生富有含义的报告，帮助预言行为、赢得竞争，等等。
Organizations use data mining to analyze large collections of data to produce meaningful reports that help to predict behavior, overcome competition, and more.
这种需要海量数据及超强计算能力的机器翻译技术正好可以淋漓尽致地发挥Google的特长。
It turns out that this technique, which requires huge amounts of data and lots of computing horsepower, is right up Google's alley.
但是机遇是很大的：海量数据的新用处，以及咀嚼这些数据的统计性工具，提供了一个理解世界的新方法。
But the opportunity is great: the new availability of huge amounts of data, along with the statistical tools to crunch these Numbers, offers a whole new way of understanding the world.
这台机器将会同时运行来自保险公司、工业公司和需要处理海量数据的其他企业的3到6 个项目。
The machine will run three to six projects at once from insurance companies, industrial firms and other businesses that handle massive amounts of data.
这台机器将会同时运行来自保险公司、工业公司和需要处理海量数据的其他企业的3到6 个项目。
The machine will run three to six projects at once from insurance companies, industrial firms and other businesses that handle massive amounts of data.
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