By the end of this course, learners will be able to build, configure, and optimize Apache Kafka producer and consumer systems using real telecom data. They will deploy Kafka infrastructure, implement Spring Boot–based consumers, manage offsets with manual commit strategies, and analyze Kafka’s polling mechanisms for reliable, real-time message processing.
Mastering Kafka Consumer Systems for Telecom Data
您将学到什么
Build and configure Apache Kafka producers and consumers using real-world telecom data.
Implement reliable consumer logic with manual offset management and polling strategies.
Deploy, monitor, and optimize Kafka systems for resilient real-time message processing.
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January 2026
作业
6 项作业
授课语言：英语（English）
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本课程是 Apache Avro & Kafka Data Engineering Projects 专项课程 专项课程的一部分
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该课程共有2个模块
This module introduces learners to the foundational concepts of Apache Kafka by exploring a real telecom data use case. Learners gain an understanding of Kafka’s architecture, the role of producers and Zookeeper, and how to validate message flow using console-based consumers. The module establishes practical context for building end-to-end Kafka pipelines.
涵盖的内容
4个视频3个作业
This module guides learners through building robust Kafka consumer applications using Spring Boot, validating consumer functionality, and implementing precise control over message acknowledgment. Learners also explore manual commit handling and Kafka’s polling mechanism to optimize and stabilize consumer performance in real-time streaming systems.
涵盖的内容
5个视频3个作业
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