大数据应用 - 翻译成英语

• big data application
• big data applications
• big data app
• in which big data is applied

在 中文 中使用 大数据应用 的示例及其翻译为 英语

有一些关注客户的系统也会使用大数据分析，这意味着大数据应用将属于运营处理的一部分。
Some customer-focused systems use big data analytics, meaning that the big data application is part of operational processing.

正如SaaS和云技术一样完全变革了企业的运作方式一样，大数据应用(BDA)也同样可以。
Just as SaaS and the cloud completely revolutionized the way businesses operate, so will Big Data applications(BDAs).

人工智能和机器学习-最后，考虑各种大数据应用供应商的创新。
Artificial Intelligence and Machine Learning- Finally, consider how innovative the various big data applications vendors are.

因此，这些电路非常适用于复杂路由和大数据应用，其中很少需要精确匹配。
These circuits are, therefore, ideal for complex routing and big data applications, where an exact match is rarely necessary.

就像JamesKobielus今年初提到的，机器学习是无处不在的，我们通常认为它存在于大数据应用中。
As James Kobielus noted earlier this year,"Machine learning is so pervasive that we can often assume its presence in big data applications.".

人工智能和机器学习-较后，考虑各种大数据应用供应商的创新。
Artificial Intelligence and Machine Learning- Finally, consider how innovative the various big data applications vendors are.

CDAPCDAP（CaskDataAccessPlatform）是一个在Hadoop之上运行的框架，抽象了建造和运行大数据应用的复杂性。
CDAP(Cask Data Access Platform) is a framework running on top of Hadoop that abstracts away the complexity of building and running big data applications.

一般认为，推荐系统是最典型的机器学习和大数据应用之一。
Recommender systems are considered one of the classic Machine Learning and Big Data applications.

在过去的几年中，我们看到了一些变化，一些开发者在云端中开发、测试和部署大数据应用。
Over the past few years, we have seen an increase in organizations that are developing, testing, and deploying big data applications in cloud environments.

这里列出的10个类别代表了大数据应用最多的领域。
For me, the 9 categories I have outlined here represent the areas in which big data is applied the most.

这里列出的10个类别代表了大数据应用最多的领域。
For us, the 8 data science use cases we have listed here represent the areas in which big data is applied the most.

总体拥有成本-大数据应用的前期成本只是其中的小部分。
Total Cost of Ownership- The upfront costs of a big data application are only a small part of the picture.

数据从哪里来是我们评价大数据应用的第一个关注点。
Where the data comes from is the first focus for us to evaluate the application of big data.

大数据应用的安全性方面往往被忽视或者被视为次要的需求。
The security aspects of big data applications are often ignored or treated as the secondary requirement.

在多数情况下，大数据应用的成功与其如何集成到您的企业数据仓库息息相关。
In many cases, the success of a big data application can be traced to how well it is integrated into your enterprise data warehouse.

专业人士经常谈论大数据应用于业务分析或商业智能。
Professionals often talk about the application of big data to business analytics or business intelligence.

成果谁买单”是评价大数据应用的第三个也是最后一个关注点。
Who pays for the results is the third and last focus of our evaluation of big data application.

数据资源分布不均，大数据应用在数据密集领域更易获得突破;
The uneven distribution of data resources makes it easier for big data application to obtain breakthroughs in data intensive fields;

例如，大数据应用得出的结果将接受基准测试，而这些基准需要通过传统调查提供。
For instance, results derived from big data applications will have to be benchmarked, and it is traditional surveys that will be needed to provide those benchmarks.

IBM认证数据工程师（大数据）-传达大数据应用的经验。
IBM Certified Data Engineer(for Big Data)- this communicates experience in working with Big Data applications.