MASSIVE AMOUNTS OF DATA - 翻译成中文

• 大量的数据
• 海量数据

在 英语 中使用 Massive amounts of data 的示例及其翻译为 中文

The massive amounts of data generated by these devices require tools and procedures for analysis and decision-making.
此类设备生成的大量数据，需要进行处理、分析和决策。

Examples include workloads that are interactive, or those tasked with aggregating and summarizing massive amounts of data from endpoints.
示例包括交互的工作负载，或那些负责汇总和汇总来自端点的大量数据的工作<详情>

Another specific issue that companies will face is the massive amounts of data produced by all these devices.
许多公司将要面临的另一个问题是所有这些设备将产生的大量数据。

The hubs allow users to process and analyze the massive amounts of data produced by connected devices and applications.
该服务使用户能够处理和分析连接设备和应用程序产生的大量数据。

Transportation researchers are using big data technology to evaluate and analyze massive amounts of data generated by Iowa traffic systems.
交通研究人员正在使用大数据技术来评估和分析爱荷华州交通系统产生的大量数据。

This is especially true as it relates to the massive amounts of data that are being bought online each hour.
这一点尤其正确，因为它涉及到每小时在网上购买的大量数据。

With data analytics, scientists can study the massive amounts of data available in the public and private sectors.
通过数据分析，科学家可以研究公共和私营部门可用的大量数据。

By applying edge computing, a valuable continuum from the device to the cloud is created, which can handle the massive amounts of data generated.
通过应用边缘计算，创建了从设备到云的有价值的连续体，可以处理生成的大量数据。

Massive amounts of data and inefficient processes make financial services a tailor-made industry for IBM Watson.
海量的数据和低效的流程使金融服务成为一个为IBMWatson量身定制的行业。

By analyzing massive amounts of data and providing us with immediate and relevant results, algorithms have dramatically changed our lives.
通过分析整理海量的数据，给我们提供即时且相关的结果，算法极大地改变了我们的生活。

Presently, due to the Internet of Things(IoT), massive amounts of data is being generated which is driving the need for data centers.
目前，由于物联网(IoT)的存在，大量数据的生成推动了对数据中心的需求。

To support analytics, you need to develop an enterprise infrastructure that can store massive amounts of data(not just terabytes but petabytes).
为了支持分析，需要开发一个能够存储大量数据(不仅是tb，可能是pb)的企业基础设施。

Increasing deployment of artificial intelligence and machine learning applications that utilize massive amounts of data and compute resources and often require generating real-time results.
增加使用大量数据和计算资源的人造智能和机器学习应用程序的部署，并且通常需要生成实时结果。

This kind of many-headed problem is uniquely suited for technology that quickly processes massive amounts of data, iterates design options, and produces optimal results.
这种多头问题特别适合采用快速处理大量数据、迭代设计选项并产生优化结果的技术。

Turning massive amounts of data into actionable insights is time-consuming- even if you do have a team of data scientists.
将大量数据转化为可行的洞察力是耗时的，即使企业有一个数据科学家团队。

They generate massive amounts of data and companies have started to capture and store billions of data events every day.
他们产生了海量的数据，企业也已经每天开始捕获和储存数以亿计的数据。

ML algorithms require relatively simple and identical computations on massive amounts of data,” says Pranav Ashar, chief technology officer for Real Intent.
ML算法需要对大量数据进行相对简单和相同的计算，”RealIntent首席技术官PranavAshar说。

Using bots to view massive amounts of data on public websites- a process known as crawling or scraping- has many purposes.
使用机器人在公共网站上查看大量数据，这一过程被称为“爬行”或“抓取”，其有很多目的。

Large data requires a flexible computing environment, which can be extended quickly and automatically to support massive amounts of data.
大数据需要灵活的计算环境，而后者可以快速、自动地进行扩展以支持海量数据。

Once these IoT platforms are applied in any environment, massive amounts of data on energy use, environmental conditions, and human activities are generated.
一旦这些物联网平台在任意环境中得以应用，关于能源使用、环境条件以及人类活动的海量数据就会被产生出来。