Apache Kafka Course Overview

The Apache Kafka course is a comprehensive program designed to introduce learners to the world of big data and Real-time data processing using Apache Kafka. The course is structured into various modules, each focusing on different aspects of Kafka, from basic concepts and architecture to advanced programming and Performance tuning.

In Module 1, participants will gain a foundational understanding of big data and explore real-world big data customer scenarios. They will be introduced to Kafka, understand its necessity in the big data ecosystem, dive into its core concepts, and learn about its architecture and use cases.

Module 2 will delve into the Kafka cluster, covering its components, installation, and configuration. Learners will also get hands-on experience with Kafka producers and consumers, observing them in action.

Module 3 is dedicated to Kafka Java programming, where students will build and run Kafka projects using Java, mastering Producer callbacks, Consumer rebalance, and Offset commit behaviors.

In Module 4, the course focuses on Kafka operations and Performance tuning, including monitoring, design considerations, and Hardware optimizations.

Module 5 and Module 6 offer advanced configurations and real-world project implementations, such as the Wikimedia Producer and OpenSearch Consumer, covering topics like Producer acknowledgements, Retries, Idempotence, and Consumer delivery semantics.

Overall, this course empowers learners with the necessary skills to work with Kafka in a professional setting, providing a balance of theoretical knowledge and practical application.