What is the translation of " BIG DATA SYSTEMS " in Chinese?

• 大数据系统

Examples of using Big data systems in English and their translations into Chinese

More and more companies are investing in Big Data systems.
越来越多的企业正投资于大数据系统。

These big data systems have yielded tangible results: increased revenues and lower costs.
这些大数据系统产生了切实的成果：增加收入和降低成本。

The sheer scale of the information processed helps define big data systems.
处理的信息规模很大，有助于定义大数据系统。

Instead, they and big data systems usually coexist, each supporting different types of analytics uses.
相反，它们和大数据系统通常并存，每种系统都支持不同类型的分析用例。

It offers tools for building scalable and reliable big data systems and virtual environments.
它提供了构建可扩展和可靠的大数据系统和虚拟环境的工具。

Once Big Data systems know me better than I know myself, authority will shift from humans to algorithms.".
一旦大数据系统比我更了解我自己，权力就会从人类转移到算法。

Donald Miner serves as a Solutions Architect at EMC Greenplum, advising and helping customers implement and use Greenplum's big data systems.
DonaldMiner目前是EMCGreenplum的解决方案架构师，为实现与使用基于Greenplum的大数据系统的用户提供咨询和帮助。

Instead, they and big data systems usually coexist, each supporting different types of analytics uses.
相反，它们通常是大的数据系统共存，每个系统支持不同类型的分析的情况。

Once Big Data systems start to know me better than I know myself, authority will shift from humans to algorithms.”.
一旦大数据系统比我自己还要了解我，权威将从人类转向算法。

In other cases, however, big data systems can exploit data center upgrades that evolved independently of the big data trend.
不同的是，在另一些情况下，大数据系统可以借由数据中心升级，来完成大数据的独立进化。

Big Data systems are generally considered to have five main characteristics of data, commonly called 5 Vs of data..
大数据系统通常被认为具有数据的五个主要特征，通常称为数据的5Vs。

As IoT and big data systems proliferate, IT teams need to store and protect more data in the cloud.
随着物联网和大型数据系统的蓬勃发展，IT团队需要在云端存储和保护更多的数据。

Big data systems, on the other hand, typically are based on nonrelational technologies such as Hadoop, Spark and NoSQL databases.
另一方面，大数据系统通常基于非关系技术，如Hadoop、Spark和NoSQL数据库。

Easily onboard new Big Data systems and retire legacy systems, while keeping business systems running continuously without disruption.
轻松搭载新的大数据系统并淘汰旧系统，同时保持业务系统连续运行而不会中断。

Big data systems must be able to scale rapidly and elastically, whenever and wherever needed, across multiple datacenters if need be.
大数据系统必须能够快速且弹性地伸缩，无论何时何地，甚至还可能需要跨越多个数据中心。

People have done Big Data systems before, but before Dremel, no one had really done a system that was that big and that fast.
人们以前也曾做过大数据系统，但在Dremel以前，没人真的能做出一个如此庞大和如此迅速的系统。

Big data systems have to be scalable systems and able to readily add storage, either within the enterprise or in the cloud.
大数据系统必须是可伸缩的系统，并且能够随时添加存储，无论是在企业内部还是在云中。

First, the emerging cloud and big data systems typically execute multiple complex applications that use heterogeneous open source tools and platforms.
首先，云和大数据系统的形成，它们通常会执行多个复杂应用，这些应用使用异构的开源工具和平台。

As we know Big Data systems are not like normal single vendor systems, so the security issues are much more complicated to handle.
正如我们所知道的大数据系统并不像普通单一的供应商系统，因此安全问题的处理更加复杂。

Since big data systems are complex and heterogeneous, the security approach must be holistic to ensure the availability and continuity of services.42.
由于大数据系统是复杂且异构的，所以安全保障必须是整体性的，以确保服务的可用性和连续性。

Big data systems, in unison with artificial intelligence technology, could one day enhance the ability of doctors to analyze tumors and make accurate diagnoses.
大数据系统与人工智能技术相结合，有朝一日可以增强医生分析肿瘤和做出准确诊断的能力。

Big data systems especially can help feed the kind of information and insights into a machine learning platform that ultimately power its growth and development.
大数据系统尤其可以为机器学习平台提供信息和见解，最终推动机器学习平台的成长和发展。

Early big data systems were mostly deployed on premises, particularly in large organizations that collected, organized and analyzed massive amounts of data..
早期的大数据系统大多用于内部，特别是在收集，组织和分析大量数据的大型组织中。

Today, care providers can use big data systems to make powerful and positive changes that can improve overall health outcomes for lower- and middle-income households.
如今，护理提供者可以使用大数据系统进行强有力的积极变革，从而改善中低收入家庭的整体健康状况。

Today, care providers can use big data systems to make powerful and positive changes that can improve overall health outcomes for lower- and middle-income households.
如今，医疗服务提供者可以利用大数据系统做出有力和积极的改变，改善中低收入家庭的整体健康状况。

Big data systems are uniquely suited for surfacing difficult-to-detect patterns and providing insight into behaviors that are impossible to find through conventional means.
大数据系统非常适合于表现难以检测的模式，并提供对通过传统方法无法找到的行为的洞察力。

Today, care providers can use big data systems to make powerful and positive changes that can improve overall health outcomes for lower- and middle-income households.
现在，医疗服务提供商能够利用大数据系统进行有力且积极地改变，从而改善中低收入家庭的总体健康状况。