What is the translation of " APACHE FLINK " in Chinese?

• apache flink

Examples of using Apache flink in English and their translations into Chinese

Apache Flink.
SQL层批流.

Thus the stream analytics platforms such as Apache Flink(21) are popular among some employers.
因此，像ApacheFlink(21)这样的流分析平台在一些雇主中很受欢迎。

Apache Flink has released the version 0.8.0 of their project.
ApacheFlink发布了该项目的0.8.0版本。

Data Artisans' survey is designed to understand how organizations plan to use or are using Apache Flink software.
DataArtisans的调查旨在了解企业如何计划使用ApacheFlink软件。

Apache Flink 1.7.0 is the first version to fully support Scala 2.12.
Flink1.7.0是第一个完全支持Scala2.12的版本。

In retrospect, this fits with my overall impressions of Apache Flink and the Apache Flink community.
回想起来，这符合我对ApacheFlink和ApacheFlink社区的总体印象。

Apache Flink is an Apache project for Big Data processing.
ApacheFlink是一个用于大数据处理的Apache项目。

Hybrid engines that can be used for either stream or batch analytics include Apache Apex, Apache Spark, and Apache Flink.
可用于流和批处理分析的混合引擎包括ApacheApex、ApacheSpark和ApacheFlink。

Apache Flink 1.7.0 is the first version to fully support Scala 2.12.
ApacheFlink1．7．0是第一个完全支持Scala2．12的版本。

Other than running on a single machine, it also supports the distributed processing frameworksApache Hadoop, Spark Apache, and Apache Flink.
除了在一台机器上运行，它还支持分布式处理框架ApacheHadoop，ApacheSpark和ApacheFlink。

Next is Apache Flink, a tool that analyzes streaming data, at 289%.
增长第二快的是ApacheFlink，这是一种分析流数据的工具，增长了289%。

Other than running on a single machine, it also supports the distributed processing frameworks Apache Hadoop, Apache Spark, and Apache Flink.
除了在单一的机器上运行，它还支持分布式框架ApacheHadoop,ApacheSpark,ApacheFlink。

Apache Flink is an open source project with similar goals like Apache Spark.
ApacheFlink是一个与ApacheSpark有着相似目标的开源项目。

Jamie Grier, Director of applications engineering at data Artisans recently spoke at OSCON 2016 Conference about data streaming architecture using Apache Flink.
DataArtisans应用程序工程总监JamieGrier最近在OSCON2016Conference大会发言谈到了使用ApacheFlink构建的一种数据流体系结构。

Apache Flink includes a lightweight fault tolerance mechanism based on distributed checkpoints.
ApacheFlink具有一种基于分布式检查点的轻量级容错机制。

Data Artisans is a company that was founded by the original creators of Apache Flink.[16] 12 Apache Flink committers are currently employed by data Artisans.[17].
DataArtisans是由ApacheFlink的创始人创建的公司。[1]目前，该公司已聘用了12个ApacheFlink的代码提交者。[2].

Apache Flink offers a fault tolerance mechanism to consistently recover the state of data streaming applications.
ApacheFlink提供了一个容错机制来持续恢复数据流应用程序的状态。

Jamie Grier, Director of applications engineering at data Artisans recently spoke at OSCON 2016 Conference about data streaming architecture using Apache Flink.
ApacheFlink实现的数据流体系结构，dataArtisans应用程序工程总监JamieGrier最近在OSCON2016Conference大会发言谈到了使用ApacheFlink构建的一种数据流体系结构。

For the past 5 months, the Apache Flink community has been working really hard to tackle more than 780 issues.
在过去五个月的时间里，Flink社区共解决了超过780个issues。

Apache Flink is an open source stream processing framework with powerful stream- and batch-processing capabilities.
AApacheFlink是一个开源的流处理框架，拥有强大的流和批量处理功能。

Shortly after Spark's appearance, Apache Flink started to enter the public view as an outside challenger before becoming widely known around 2016.
在Spark出现后不久，ApacheFlink就作为强劲对手进入公众视野，并在2016年左右名声大噪。

Apache Flink's dataflow programming model provides event-at-a-time processing on both finite and infinite datasets.
ApacheFlink的数据流编程模型在有限和无限数据集上提供单次事件（event-at-a-time）处理。

This is an important addition to Apache Flink 1.7.0, which provides initial support for the MATCH_RECOGNIZE standard for Flink SQL.
这是ApacheFlink1．7．0的一个重要补充，它为FlinkSQL提供了MATCH＿RECOGNIZE标准的初始支持。

Apache Flink includes two core APIs: a DataStream API for bounded or unbounded streams of data and a DataSet API for bounded data sets.
ApacheFlink包括两个核心API：用于有界或无界数据流的数据流API和用于有界数据集的数据集API。

Kafka 2.0 Connector Apache Flink 1.7.0 continues to add more connectors(Connectors), making it easier to interact with more external systems.
ApacheFlink1.7.0继续添加更多的连接器，使其更容易与更多外部系统进行交互。

Apache Flink(formerly called Stratosphere) features powerful programming abstractions in Java and Scala, a high-performance runtime, and automatic program optimization.
ApacheFlink（以前称为Stratosphere）在Java和Scala中具有强大的编程抽象，高性能运行时和自动程序优化。

Apache Storm, Apache Flink, and Apache Spark provide different ways of achieving real-time or near real-time processing.
ApacheStorm，ApacheFlink和ApacheSpark提供了实现实时或近实时处理的不同方法。

Apache Flink is developed under the Apache License 2.0[15] by the Apache Flink Community within the Apache Software Foundation. The project is driven by over 25 committers and over 340 contributors.
ApacheFlink是由Apache软件基金会内的ApacheFlink社区基于Apache许可证2.0[1]开发的，该项目已有超过100位代码提交者和超过460贡献者。

The second annual Apache Flink user survey found 87 percent of respondents are planning to deploy more apps powered by Apache Flink over the next year.
第二届ApacheFlink用户调查发现，87%的受访者计划在明年部署更多由ApacheFlink提供支持的应用程….

Today Apache Flink is Top Level Project(TLP), joined the Apache incubator in April 2014 with many contributors across globe.
目前ApacheFlink已成为一个顶级项目(TopLevelProject,TLP)，于2014年4月被纳入Apache孵化器，目前在全球范围内有很多贡献者。