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所在平台: Udemy |
课程主页: https://www.udemy.com/course/kafka-streams-real-time-stream-processing-master-class/
课程评论：没有评论
课程名称：Apache Kafka - 实时流处理（大师班） 课程概述：本课程不要求学生具备任何Apache Kafka的先验知识。我们将详细解释所有必要且复杂的Kafka架构概念，以帮助您快速掌握课程内容。课程的核心是Kafka Streams - 实时流处理，旨在帮助您理解流处理的基本概念，并将这些知识应用于Kafka Streams编程。该课程基于我的同名著作，采用了逐步的常识性教学方法，以帮助您逐步理解和掌握在课程中讲解的复杂概念。 适合人群：Kafka Streams - 实时流处理课程专为希望使用Kafka Streams库开发流处理应用程序的软件工程师设计。同时也面向负责设计和构建组织数据基础设施的数据架构师和数据工程师。此外，针对那些不直接从事Kafka实施的管理者和架构师，本课程同样具有帮助性，他们通常与实现Kafka Streams的技术人员合作。 课程使用的Kafka版本：本课程使用的Kafka Streams库来源于Apache Kafka 2.x。我已在Apache Kafka 2.3开源版本上测试了所有的源代码和示例。部分示例还使用了Confluent Community版本，以解释和演示仅在Confluent平台上提供的功能，如模式注册和Avro Serdes。 源代码、开发环境、构建工具、日志及测试工具：本课程以实例驱动为主，创建了大量示例，并且所有示例的源代码文件都已包含在学习材料中。我们将使用IntelliJ IDEA作为推荐的开发IDE，但根据您的经验，您也可以使用其他Java应用开发的IDE。课程将采用Apache Maven作为推荐的构建工具，但您也可以根据经验选择其他构建工具。此外，课程使用Log4J2以教授行业标准的日志实现，使用JUnit5进行单元测试的实现。 示例和练习：有效的示例和练习是将知识转化为技能的重要工具。本课程中已经包含了大量示例，并包括目标性问题和适当的编程作业。这些练习将帮助您验证和检验概念，并将学习应用于解决编程问题。
This course does not require any prior knowledge of Apache Kafka. We have taken enough care to explain all necessary and complex Kafka Architecture concepts to help you come up to speed and grasp the content of this course. About the CourseI am creating Kafka Streams - Real-time Stream Processing to help you understand the stream processing in general and apply that knowledge to Kafka Streams Programming. This course is based on my book on the same subject with the same title. My Book is already published and is available with all major online retailers as an eBook and Paperback. My approach to creating this course is a progressive common-sense approach to teaching a complex subject. By using this unique approach, I will help you to apply your general ability to perceive, understand, and reason the concepts progressively that I am explaining in this course.Who should take this Course?Kafka Streams - Real-time Stream Processing course is designed for software engineers willing to develop a stream processing application using the Kafka Streams library. I am also creating this course for data architects and data engineers who are responsible for designing and building the organization's data-centric infrastructure. Another group of people is the managers and architects who do not directly work with Kafka implementation, but they work with the people who implement Kafka Streams at the ground level.Kafka Version used in the CourseThis course is using the Kafka Streams library available in Apache Kafka 2.x. I have tested all the source code and examples used in this course on Apache Kafka 2.3 open source distribution. Some examples of this course also make use of the Confluent Community Version of Kafka. We will be using Confluent Community Version to explain and demonstrate functionalities that are only available in the Confluent Platform, such as Schema Registry and Avro Serdes. Source Code, Development IDE, Build Tool, Logging, and Testing ToolsThis course is fully example-driven, and I will be creating many examples in the class. The source code files for all the examples are included in your study material. This course will be making extensive use of IntelliJ IDEA as the preferred development IDE. However, based on your prior experience, you should be able to work with any other IDE designed for Java application development.This course will be using Apache Maven as the preferred build tool. However, based on your prior experience, you should be able to use any other build tool designed for Java applications.This course also makes use of Log4J2 to teach you industry-standard log implementation in your application.We will be using JUnit5, which is the latest version of JUnit for implementing Unit Test Cases.Example and ExercisesWorking examples and exercises are the most critical tool to convert your knowledge into a skill. I have already included a lot of examples in the course. This course also consists of objective questions and some programming assignments as and when appropriate. These exercises will help you to validate and check your concepts and apply your learning to solve programming problems.
