What is the translation of " DATA SILOS " in Chinese?

• 数据孤岛
• 数据壁垒

Examples of using Data silos in English and their translations into Chinese

The problem stems from data silos created by companies themselves.
问题源于公司自己创建的数据孤岛。

In 2020, you will see more and more businesses using technologies for breaking data silos.
在2020年，越来越多的企业会运用技术打通各数据库。

The problem stems from data silos created by companies themselves.
这个问题源于公司自己创建的数据很孤立。

I see trusts, the way they are set up today, as the best avenue for these vertical data silos to be governed.
在我看来，信托基金(以目前的方式建立)是治理这些垂直数据竖井的最佳途径。

This means eliminating data silos and effectively democratizing data access.
这意味着消除数据孤岛，有效实现数据访问的民主化。

Again, another difficulty in the development of smart water is the problem of imperfect data and data silos.
再次，智慧水务发展的另一个难点是数据不完善及数据孤岛问题。

This eliminates data silos, simplifies storage management and delivers high performance.
这样可以消除数据孤岛，简化存储管理，并交付超高性能。

Deployments of large data hubs have only resulted in more data silos that are not easily understood, related, or shared.
大型数据中心的部署带来的更多是不易理解、关联或共享的数据孤岛。

The resulting data silos can present challenges, as each resource is dependent on the others.
产生的数据孤岛可能会带来难题，因为每个资源都会依赖于其他资源。

He added,“If a company is very focused on process-level automation and can break down data silos, then it is indeed ready.
他补充道，“如果一家企业非常注重流程级的自动化，并且能够打破数据孤岛，那么它的确是已经准备好了。

We're seeing the breakdown of data silos and the emergence of tools that connect disparate information.
我们看到数据孤岛的崩溃和连接不同信息的工具的出现。

Even as U.S. healthcare spending grew by 3.9% in 2017, the system remains riddled with waste, inefficiencies and data silos.
尽管美国医疗保健支出在2017年成长了3.9%，但该系统仍然充斥着浪费、效率低下和数据孤立等问题。

With Splunk, they break down traditional data silos and attain operational intelligence that benefits both IT and the business.
使用Splunk，他们打破传统数据壁垒，实现业务智能并同时为IT和业务带来益处。

Eventually, he came into contact with the founders of Immuta, who wanted to eliminate the data silos that exist in large organizations.
最终，他与Immuta的创始人取得了联系，后者希望消除大型组织中存在的数据孤岛。

Splunk breaks down traditional data silos, achieves new levels of operational intelligence and delivers insights that benefit IT and the business.
使用Splunk，他们打破传统数据壁垒，实现业务智能并同时为IT和业务带来益处。

Traditional financial institutions hold various fractions of consumer data in isolated data silos that cannot directly communicate.
传统的金融机构将不同部分的消费者数据保存在无法直接通信的孤立数据孤岛中。

Apart from the data silos within an organization, companies should also look outside and start thinking of new data sets that can be used.
除了企业内的数据仓，企业也应该注意外面的世界，并开始思考可以使用的新的数据集。

In manufacturing today, production and profitability can be hindered by complex, proprietary systems that create data silos and slow productivity.
在制造业，生产和盈利能力可能会受到复杂的、专有的系统的阻碍，这些系统会创建“数据竖井”并降低生产率。

With Splunk they break down traditional data silos, achieve new levels of Operational Intelligence and gain insights that benefit IT and business users.
使用Splunk，他们打破传统数据壁垒，实现业务智能并同时为IT和业务带来益处。

Theoretically, this solution can greatly reduce the IT cost for enterprises, improve system stability, and break down data silos that impede information flow.
理论上，它能大大降低企业的IT成本，提升系统稳定性，还能打破阻隔信息流通的数据孤岛。

That culture can take hold when companies establish three goals: break down data silos, empower the team to explore data, and engage teams through leadership.
当公司完成以下三个目标时，这种文化就可以实现：打破数据孤岛，促使团队来研究数据，并通过领导层来培养团队。

As Ahn Bui, vice president of Benetech Labs, states in this interview:"Establishing open data standards is an integral step in breaking down data silos.
正如BenetechLabs副总裁AhnBui在这次采访中指出的那样：“建立开放数据标准是打破数据孤岛不可或缺的一步。

Companies should model high-risk events, re-examine their workplace practices, and break down the data silos that prevent them from accurately identifying safety incident patterns.
企业应该建立高风险事件模型，重新检查工作场所作业实践，打破阻碍他们准确识别安全事故模式的“数据竖井”。

Most databases utilized in the plant environment are disconnected data systems(I call these“data silos”), which require manual data input.
在工厂环境中使用的大多数数据库连接的数据系统（我称之为“数据孤岛”），这需要手动数据输入。

Many challenges are organisational in nature- from attracting and retaining data specialists to breaking down organisational data silos to make better use of internal datasets.
许多挑战都是组织性的，从吸引和留住数据专家到打破组织数据孤岛，以更好地利用内部数据集。

HDP leverages Apache Hadoop as the foundational platform for creating enterprise data lake by breaking down existing data silos and leveraging all the available data..
HDP利用ApacheHadoop作为创建企业DataLake的基础平台，打破现有的数据孤岛并利用所有可用数据。

When you look through the data perspective, the cloud has not solved the data silo problem.
当人们查看数据透视图时，云计算尚未解决数据孤岛问题。

EssentialPIM can become your data silo but will never let you drown in information.
您可以把EssentialPIM作为您的数据仓库，但您绝对不会在信息的海洋中淹没。

When this free flow of data is impeded for any reason, professionals talk about that as a“data silo.”.
当这种自由流动的数据因任何原因受到阻碍时，专业人士将其称为“数据孤岛”。

Big Data Governance within departmental silos will increase to ensure that the appropriate data privacy levels are met.
将增加部门间孤岛中大数据治理，以确保满足适当的数据隐私级别。