Examples of using Databricks in English and their translations into Chinese
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IBM Intel DataBricks MapR.
Databricks pricing is detailed on our pricing page.
Today, Microsoft is Databricks' newest investor.
今天，微软是Databricks的最新投资者。Databricks has a close relationship with academia.
Databricks与学术界关系密切。Based in San Francisco, Databricks currently has 220 employees.
Databricks总部设在旧金山，现有员工220人。Databricks unveils new open source project to clean up data lakes.
Databricks推出了新的开源项目来清理数据湖.Salesforce claims to be using Databricks for its Einstein inbox.
Salesforce声称在其Einsteininbox.中使用Databricks技术。Reza has served on the technical advisory boards of Microsoft and Databricks.
Reza曾担任微软和Databricks的技术顾问委员会成员。Azure Databricks is a fast, easy and collaborative Apache Spark-based analytics service.
AzureDatabricks是一个基于ApacheSpark的快速、简单和协作的分析平台。Ray was developed at UC Berkeley, in the RISELab- successor to the AMPLab,which created Apache Spark and Databricks.
Ray是在RISELab的UCBerkeley加州大学开发的，它是AMPLab的继任者，后者创建了ApacheSpark和Databricks。Azure Databricks is the fast, easy and collaborative Apache Spark-based analytics platform.
AzureDatabricks是一个基于ApacheSpark的快速、简单和协作的分析平台。Although Ghodsi has to work extra hours as both a CEO and a professor,he says Databricks has benefitted from exposure to both worlds.
作为首席执行官和教授，Ghodsi需要付出额外的工作时间，但他表示，Databricks因此能够从两方都受益。But Databricks, aka the Spark people, prefer Mesos over YARN-- and by the way, Spark doesn't require HDFS.
但是Databricks(又叫Spark人)偏爱Mesos而不是YARN;顺便说一句，Spark不需要HDFS。Spark's creator, Matei Zaharia,has co-founded a hot startup called Databricks, which provides a commercial version of Spark.
Spark的发明人MateiZaharia已经创立了一家炙手可热的startup叫做Databricks，提供Spark的商用版本。The Databricks survey also showed that 61% of users work with Spark in the public cloud, up from 51% in 2015.
从Databricks的调查中还可以发现，61%的用户在公有云中使用Spark，这一比例在2015年为51%。Ray was developed at the UC Berkeley RISELab, the successor to the AMPLab,that created Apache Spark and Databricks, which Stoica co-founded.
Ray是在RISELab的UCBerkeley加州大学开发的，它是AMPLab的继任者，后者创建了ApacheSpark和Databricks。Databricks started with all its web services on Amazon, but now more customers are using multiple clouds or a hybrid cloud.
Databricks最初使用了亚马逊的Web服务，但更多的客户现在在使用多云或混合云。Jeavons says Shell's platform includes software from Databricks, Alteryx, C3, SAP and other vendors to help his data scientists generate business insights.
Jeavons介绍说，壳牌公司的平台包括Databricks、Alteryx、C3、SAP以及其他供应商的软件，以帮助他的数据科学家们获得业务深度分析结果。Azure Databricks provides the latest versions of Apache Spark and allows you to seamlessly integrate with open source libraries.
AzureDatabricks提供最新版本的ApacheSpark，使你可以与开放源代码库无缝集成。While Spark is great, the Databricks business model isn't as compelling, and it seems easily disrupted by one of the big three cloud vendors.
虽然Spark很伟大，但Databricks的商业模式不是很引人注目，它似乎很容易被三大云服务供应商所压制。Now, with Databricks, Ghodsi and his team have created what they call a“unified collaboration workspace” deployed in the cloud.
在Databricks，Ghodsi和他的团队开发出了部署在云端的“统一协作工作区”。Ghodsi says that Databricks has been able to grow so fast because there aren't many other companies doing the same thing.
Ghodsi说，Databricks之所以能够发展得如此之快，是因为没有其他公司在做同样的事情。Databricks has generated over $100 million in annual recurring revenue, and its subscription revenue has tripled during the last quarter of 2018.
Databricks每年的常续性营收超过1亿美元，订阅方面的收入在2018年最后一个季度增至三倍。The Amazon, Microsoft, Databricks, Google, and IBM clouds all offer prediction APIs that give the analyst various amounts of control.
Amazon、Microsoft、Databricks、Google以及IBM云平台都提供了预测API，分析师可将其用于不同领域。Databricks has shifted its focus to machine learning, it has seen over 100,000 downloads of its new open source machine learning project MLFlow.
Databricks已将重点转向机器学习，它的机器学习开源项目MLFlow的下载量已经超过100,000次。Databricks, the company founded by Spark creator Matei Zaharia, now oversees Spark development and offers Spark distribution for clients.
Databricks是由Spark创始人MateiZaharia创立的公司，现在负责Spark开发并为客户提供Spark分销。Last spring, Databricks formed a partnership with DataStax, a vendor that sells a commercial distribution for the NoSQL database Apache Cassandra.
去年春季，Databrick与DataStax建立了合作伙伴关系，后者专注于提供NoSQL数据库Cassandra的商业版。At Databricks, we are still working hard to drive Spark forward- indeed, we contributed about 10x more code to Spark than any organization in 2015.
在Databricks，我们仍然在努力推动Spark向前发展，事实上，2015年我们贡献给Spark的代码量是其它任何公司的10倍之多。Over the past few years at Databricks, we have seen a new data management paradigm that emerged independently across many customers and use cases: the lakehouse.
引入在Databricks的过去几年中，我们看到了一种新的数据管理范式，该范式出现在许多客户和案例中：LakeHouse。
