Apache Kafka - A Complete Beginner Guide for Event Streaming

所在平台: Udemy

课程主页: https://www.udemy.com/course/apache-kafka-a-complete-beginner-guide-for-event-streaming/

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课程简介

**Apache Kafka - 活动流的完整新手指南** 本课程是为希望学习 Apache Kafka 并将其应用于实时场景的任何人提供的技能提升机会。如果您是 Kafka 的初学者,本课程将对您极其有益。这是一门涵盖 Kafka 基础知识的详细课程。 Apache Kafka 是一个开源的、分布式的、事件流平台。它集成了消息传递、存储和流处理,能够存储和分析历史数据和实时数据。其最大的优势在于:它允许多个独立的应用程序从数据流中读取数据,并以各自的速率独立工作,从而提高整体处理速度和可扩展性。 Kafka 目前被广泛应用,带来了大量的就业机会。本课程将对寻求相关机会的人非常有帮助。您将学习消息如何从消息队列流出,以及订阅者如何从主题中监听这些消息。 **课程优势:** * 可扩展性和高性能 * 多生产者和多消费者 * 高可用性和容错性 * 安全性和灵活性 * 多语言环境 * Kafka Connect 实现简单集成 * 易于理解的文档、指南和学习资源 **课程内容涵盖:** * Kafka 的工作原理 * 项目设置(下载 Kafka) * 创建项目 * 监听器 (Listener) * 生产者 (Producer) * 控制器 (Controller) * 项目执行

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课程详情

This course is an upskilling opportunity for anyone who want to learn Apache Kafka and apply it in real time. If you are a beginner and new to Kafka, this course will be very useful to you. It is a detailed course and covers the fundamentals of Kafka. Apache Kafka is an open source, distributed, event streaming platform. It combines messaging, storage, and stream processing, to allow storage and analysis, of both historical and real time data. It's biggest advantage is: it allows multiple independent applications, reading from data streams, to work independently, at their own rate. Hence, making the overall processing fast and scalable. You all must be aware that Kafka is being used widely now-a-days, and have multiple job opportunities. This course is going to be very helpful for anyone seeking opportunities in the same. Throughout this course, you will learn how a message flows from a message queue and subscribers listen to those messages from the topics.Pros:Scalability and High performanceMultiple producers and consumersHigh availability and fault toleranceSecurity and FlexibilityMulti-language environmentKafka Connect for simple integrationEasy to understand documentation, guides, and learning resourcesIn this series, we will discuss following topics in a detail: How Kafka Works?Project SetupDownload KafkaCreate ProjectListenerProducerControllerProject Execution

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