What is the translation of " AIRFLOW " in English?

• AIRFLOW

Examples of using Airflow in Chinese and their translations into English

为顶级项目ApacheAirflow.
A Top- Level Project Apache Airflow.

年，克莱斯勒打造了“气流车”Airflow。
Back in 1934, Chrysler debuted the Airflow.

在这里Airflow和Luigi这样的类库就能派上用处。
This is where libraries like Airflow and Luigi come in handy.

AIRBNB的开源数据工作流程管理工具AIRFLOW.
Airbnb's open source data workflow management tool, Airflow.

在Qubole，我们不仅是供应商，还是Airflow的大客户。
At Qubole, not only are we a provider, but also a big consumer of Airflow as well.

Airflow是Airbnb的工程师为内部使用开发的，2015年开源。
Airflow was developed for internal use by Engineers at Airbnb, and Open Sourced in 2015.

理想情况下，这项工作应该尽可能自动化，ApacheAirflow可以完成此事。
Ideally, this work should be as automated as possible, and Apache Airflow can help.

年，Airflow诞生于Airbnb，并于2016年进入Apache孵化器。
Airflow originated at Airbnb in 2014 and was submitted to the Apache Incubator March 2016.

最初被设想为普利茅斯车型，PT在很大程度上引用了1934年的Airflow的灵感。
Initially conceived as a Plymouth model, the PT drew heavily on the 1934 Airflow for inspiration.

年，Airflow诞生于Airbnb，并于2016年进入Apache孵化器。
Airflow was open-sourced by AirBnb in 2014 and in 2016 entered the Apache Incubator project.

Lt;p>轻便且通风良好的AirFlow靴子让你觉得在外出时穿着凉鞋。
Lt;p>The light and well-ventilated AirFlow boots make you feel like you're wearing sandals while out riding.

壳牌与Airflow认为这是衡量货运效率的最重要指标。
Shell and Airflow believe this is the most meaningful measurement of efficiency of freight transportation.

Airflow不是一个销售成功的车型，但它已经证明自己是汽车发展的一个里程碑。
The Airflow was not a sales success, but it has proven itself to be a milestone of automotive progress.

壳牌润滑油与AirFlow卡车公司(AirFlowTruckCompany)联合发布了一款全新节能牵引车。
Shell Lubricants and AirFlow Truck Company have unveiled a new hyper fuel-efficient truck.

这让我们在ASF孵化过程中赢得了社区的支持，社区不仅使用Airflow，也为其做出了贡献。
That has gained us a community during incubation at the ASF that not only uses Apache Airflow but also contributes back.

ApacheAirflow于2014年由Airbnb发起，并于2016年3月提交给Apache进行孵化。
Airflow originated at Airbnb in 2014 and was submitted to the Apache Incubator March 2016.

能够使用核心工具(数据库、Spark、Airflow等)的数据工程师将继续看到他们的机会增长。
Data engineers who can work with the core tools(databases, Spark, Airflow, etc.) will continue to see their opportunities grow.

Airflow的数据感知调度和错误处理能力有助于整个报告生成过程的自动化，无需任何人工干预。
Airflow's Data-aware scheduling and error-handling helped automate entire report generation process reliably without any human-intervention.

我们很高兴看到Airflow从Apache孵化器毕业了，也很期待这个令人激动的项目在未来的发展！”.
We are delighted to see Airflow graduate from the Apache Incubator, and look forward to see where this exciting project will be taken in future!".

Airflow还有一个基于Web的用户界面，它将工作流表示为一个小作业网络，这样依赖关系就可以很容易地实现可视化。
Airflow also has a web-based user interface that presents workflows as a network of small jobs so that dependencies can be easily visualized.

因此我们很骄傲与AirFlowTrucking合作，使我们有好的机会探索如何改善运输领域的燃料经济性。
That's why I'm so proud of this collaboration with AirFlow Trucking- which provides a unique opportunity to explore ways to improve fuel economy in transport application.

AirFlow卡车公司之前已经打造出两款空气动力学节能Class8级牵引车，首款在1983年，第二款在2012年。
AirFlow Truck Company has built two previous aerodynamic and fuel efficient Class 8 tractor trailer, the first in 1983 and the most recent in 2012.

正因如此，壳牌与AirFlow卡车公司的合作感到自豪――这为我们探索如何改进运输应用领域的燃油经济性提供了独一无二的机会。
That's why I'm so proud of this collaboration with AirFlow Trucking- which provides a unique opportunity to explore ways to improve fuel economy in transport application.

Airflow还提供了一些调度脚本，可连接到数据库，并定期从外部存储上传数据或使用类似INSERTINTO…SELECT…的操作进行事件聚合。
Airflow also has scheduled scripts that connect to the database and periodically upload data from external storage or make event aggregations with operations like.

整个行业，AirFlow说一个BulletTrucks车队每年可以节省75亿加仑燃油和2100万吨有毒废气排放。
Industry-wide, AirFlow says a fleet of BulletTrucks could save 7.5 billion gallons of fuel, plus 21 million tons of toxic exhaust emissions, annually.

ApacheAirflow是一个灵活的，可扩展的工作流自动化和调度系统，用于管理数百PB的大数据处理管道。
Apache Airflow is a flexible, scalable workflow automation and scheduling system for authoring and managing Big Data processing pipelines of hundreds of petabytes.