Examples of using Apache kafka in English and their translations into Chinese
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It is based on Apache Kafka.
Apache Kafka provides the circulatory system for the data ecosystem, as shown in Figure 1-9.
Kafka为数据生态系统带来了循环系统，如图1-9所示。One of them was Apache Kafka.
这其中的翘楚当属ApacheKafka了。Apache Kafka stores messages which come from arbitrarily many processes called“producers”.
Kafka存储的消息来自任意多被称为Producer生产者的进程。Is Batch ETL Dead, and is Apache Kafka the Future of Data Processing?
批处理ETL已死，Kafka才是数据处理的未来？?Apache Kafka stores messages which come from arbitrarily many processes called“producers”.
Kafka存储的消息来自任意多被称为“生产者”（Producer）的进程。If you are experiencing a situation similar to ours,we highly encourage you to check out Apache Druid and Apache Kafka.
如果你遇到与大家类似的情况，大家强烈建议你去了解ApacheDruid和ApachKafka。Apache Kafka runs as a cluster on one or more servers that can span multiple data centers.
Kafka以集群的方式运行在一个或多个服务器上，这些服务器可以跨多个数据中心.As a cloud provider,we offer various messaging services including Apache Kafka, RabbitMQ, and RocketMQ to our customers.
作为一家云服务提供商，我们向客户提供各种各样的消息服务，包括ApacheKafka、RabbitMQ和RocketMQ。The Apache Kafka project has emerged as a star for real-time data tracking capabilities.
ApacheKafkaApacheKafka项目已凭借实时数据跟踪功能俨然成为一颗明星。Right now, I'm working on a really interesting AWSdesign that requires Direct Connect integration with Apache Kafka on AWS.
现在，Kleyman正在开发一个非常有趣的AWS设计，需要在AWS上与ApacheKafka进行DirectConnect集成。Apache Kafka acts as an ingestion layer that can sit over the top of an engine like Spark, Storm or Hadoop.
ApacheKafka充当摄取层，可位于Spark、Storm或Hadoop等引擎的顶部。Along with Hudi, the other addition to the latest phase of Uber's bigdata platform is data ingestion through Apache Kafka with metadata headers attached.
除了Hudi，Uber大数据平台最新阶段的另一个组件是通过ApacheKafka摄取数据。Apache Kafka is a cool product, but if you are thinking about using it for event sourcing you should think again.
ApacheKafka是一款很酷的产品，但如果你考虑将其用于事件溯源，建议你应该再考虑一下。There are a large number of open source messaging systems to choose from,including RabbitMQ, Apache Kafka, Apache ActiveMQ, and NSQ.
有很多可供选择的开源消息系统，包括RabbitMQ、ApacheKafka、ApacheActiveMQ和NSQ。Queuing systems like Apache Kafka can also be used as an interface between various data generators and a big data system.
像ApacheKafka这样的排队系统也可以用作各种数据生成器和大数据系统之间的接口。MapR Streams is a distributed messaging system that enables producers andconsumers to exchange events in real time via the Apache Kafka 0.9 API.
MapR流是一种新型的分布式通信系统，通过ApacheKafka0.9API可使得生产者和消费者之间实现实时交流事件动态。Apache Kafka is a highly scalable distributed streaming platform often used to distribute messages or events within a microservices based system.
ApacheKafka是一个高度可伸缩的分布式流平台，通常用于在基于微服务的系统中分发消息或事件。Whether this is for intensive data processing orAPI calls, etc. Apache Kafka is a distributed stream processing platform with high fault tolerance and resilience.
不论是用于密集数据处理还是API调用，ApacheKafka都是一个具有高容错性和弹性的分布式流处理平台。It uses Apache Kafka for messaging, and Apache Hadoop YARN to provide fault tolerance, processor isolation, security, and resource management.
它使用ApacheKafka进行消息传递，使用ApacheKafkaHadoopYARN进行容错，处理器隔离，安全性和资源管理。When you use Loggly, you are indeed taking advantage of Elasticsearch,Apache Lucene, Apache Kafka, and many other open-source software components.
当你使用Loggly时，你实际上利用了Elasticsearch，ApacheLucene，ApacheKafka，还有很多开源软件组件。At the messaging layer Apache Kafka and AWS Kinesis are popular options to aggregate data streams, connecting producers and consumers of information.
在消息层，ApacheKafka和AWSKinesis是聚集数据流的常用选项，连接信息的产生者和消费者。Oryx 2 is a realization of thelambda architecture built on Apache Spark and Apache Kafka, but with specialization for real-time large scale machine learning.
Oryx2是一个建立在ApacheSpark和ApacheKafka之上，但专业化的实时大规模机器学习的lambda架构。Apache Kafka originated at LinkedIn and later became an open-source Apache project in 2011, then a first-class Apache project in 2012.
亚博安卓appApacheKafka起源于LinkedIn，后来于2011年成为开源Apache项目，然后于2012年成为First-classApache项目。Yashiro Matsuda recently wrote a blog post describing Apache Kafka's use of Hierarchical Timing Wheels to keep track of large numbers of outstanding requests.
YashiroMatsuda最近写了一篇博文ApacheKafka'suseofHierarchicalTimingWheels用于监控大量的延时操作。This tutorial shows how to use Apache Kafka with Druid to build a streaming analytics and visualization(using Pivot, a web UI for Druid) application.
本教程展示了如何将Druid与ApacheKafka结合构建流式分析和可视化（借助Pivot，Druid的webUI）应用。Based on the architecture of Apache Spark and Apache Kafka, Oryx 2 is an application development framework specifically designed for real-time, large-scale machine learning.
Oryx2采用的是ApacheSpark和ApacheKafka架构，它是一个应用开发框架，针对实时、大规模机器学习应用。While the name may not immediately ring a bell, Apache Kafka powers big data solutions at Airbnb, LinkedIn, Netflix, PayPal, Spotify and many other corporations.
虽然名称可能不会立即响起，但ApacheKafka在Airbnb，LinkedIn，Netflix，PayPal，Spotify和许多其他公司中为大数据解决方案提供支持。
