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所在平台: Udemy |
课程主页: https://www.udemy.com/course/apache-kafka-learnkarts/
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课程名称：Apache Kafka A-Z 实践学习 课程概述：Apache Kafka 是一个开源的分布式流处理平台，提供高吞吐量和低延迟的实时消息传递。超过 80% 的《财富》100 强公司信任并使用 Kafka，包括 Airbnb、Netflix、Microsoft、Intuit、Target 等。该课程与行业最佳实践相结合，由行业领导者创建，覆盖 Kafka 的各个方面，包括： - Kafka 的基本概念和架构 - Kafka 生产者和消费者 - 序列化/反序列化 - Kafka 流处理 - Kafka 连接器 - 集群设置及 Kafka 管理 - Kafka 监控与模式注册 - Kafka 与 Storm、Spark 和 Flume 的集成 - Kafka 安全性 - 其他详细概念 课程内容包括： - 9.5 小时的高质量视频 - 18 个演示案例 - 每节课的测验 - 1 个项目 该课程将帮助您设计 Apache Kafka，并了解如何更快、更高效地存储和处理多个不断流动的信息流。通过简单易懂的逐步指导，学习如何设计和安装 Kafka 集群。此课程将帮助学生： - 学习所需知识，以负责其组织的 Kafka 集群，包括配置 Kafka 生产者、消费者、流处理和连接器 - 描述 Kafka 的架构并阐明其在商业中的使用案例 - 开始 Kafka 的学习之旅 适合希望深入理解 Apache Kafka 并在实务中应用的学生。
[4-Sep-21 Update] Added code of demos as downloaded resourceApache Kafka is an open-source distributed stream processing platform that provides high-throughput and low latency real-time messaging. More than 80% of all Fortune 100 companies trust, and use Kafka. Companies like Airbnb, Netflix, Microsoft, Intuit, Target, etc use Kafka extensively.This course has been aligned with industry best practices and has been created by industry leaders.This is the an exhaustive course covering A-Z of Kafka:-Basic concepts and architecture of Kafka-Kafka Producer and consumer- Serializer/De-serializer-Kafka Streams-Kafka Connect-Cluster setup and Administrating Kafka-Kafka Monitoring and Schema registry-Integration of Kafka with Storm- Integration of Kafka with Spark and Flume- Kafka Security-and Many more concepts in detailThe course contains:-High quality engaging videos of 9.5 Hrs-18 Demos-Quizzes for each lesson-1 ProjectThe course will help you design Apache Kafka and learn how Apache Kafka is used to storing and processing multiple nonstop streams of information faster and all the more efficiently.Learn how to design and introduce Kafka groups, With simple to follow and step by step guidelines.This Apache Kafka course will help students:- To learn the all the required knowledge to undertake responsibility for their organization's Kafka group by arranging Kafka producer, consumer, streams, and connectors- Depicting the design of Kafka & clarify use cases in business- Start journey in Kafka
