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所在平台: Udemy |
课程主页: https://www.udemy.com/course/apache-kafka-tutorial-for-beginners/
课程评论：没有评论
课程名称：完整的Apache Kafka初学者课程 课程概述：本课程将探索消息系统的基本概念，包括点对点消息传递和发布-订阅消息传递的介绍，Apache Kafka服务器的安装和操作原则。课程将指导您在单节点和多节点模式下部署Kafka集群。最后，我们将介绍生产者应用程序和消费者应用程序，并将实时应用程序与大数据技术集成。 目标受众为希望了解Apache Kafka、Zookeeper、队列、主题、客户端-服务器通信、消息系统（点对点与发布-订阅）、单节点服务器、多节点服务器或Kafka集群、命令行生产者和消费者、使用Java API的生产者应用和消费者应用的人士。课程中包含所有使用的材料，包括生产者和消费者的Java代码，以及有助于进一步学习的外部文档。 本课程预计用时为3小时，请务必完成所有测验。我们设计的课程结构易于理解，初始讲座中介绍基本概念，然后逐步深入到高级主题，最后通过示例教授如何实时使用Kafka服务器。Apache Kafka最近备受关注，虽然LinkedIn是其最著名的用户，但许多公司也在成功使用这一技术。随着这种技术的普及，大家都想了解它的功能、优势，以及为何值得替换现有系统和基础设施。 通过本课程，您将掌握Apache Kafka的基础知识，具备在实际项目中应用的能力。
This course will explore the basic concepts of messaging systems, introduction to point to point messaging, publish - subscribe messaging, principles of Apache Kafka Server installation, operations and then it will walk you through the deployment of Kafka cluster in single node and multi node mode. Finally, we will conclude with producer application and consumer application and later I add real-time applications and integration with Big Data Technologies. The target audience would be the people who are willing to know about Apache Kafka, Zookeeper, Queues, Topics, Client - Server communication, Messaging system (Point to Point & Pub - Sub), Single node server, Multi node servers or Kafka cluster, command line producer and consumer, Producer application using Java API's and Consumer application using Java API's. All the material which is used in this course is attached, Java code for both Producer and Consumer, External Documentation which is helpful further. You can complete this course in 3hours and please don't ignore any Quiz. We made this course such a way that everyone can understand easily, we added the basic concepts in the beginning lectures , then added advanced topics and finally taught how to use the Kafka server in real time with an example. Apache Kafka is creating a lot of buzz these days. While LinkedIn, where Kafka was founded, is the most well known user, there are many companies successfully using this technology. So now that the word is out, it seems the world wants to know: What does it do? Why does everyone want to use it? How is it better than existing solutions? Do the benefits justify replacing existing systems and infrastructure?
