Apache Kafka - Real-time Stream Processing (Master Class)

A beginner's guide to mastering real-time stream processing using Apache Kafka and Kafka Streams API

Learn

Learn Apache Kafka fundamentals and Kafka Architecture
Understand how to create streams using the Kafka Producer APIs
Design, develop, and test real-time stream processing applications using the Kafka Streams library
Get well-versed with the Kafka Streams architecture, Streams DSL, and the Processor API
Support microservice architecture and implement interactive queries in Kafka Streams
Explore serializing and deserializing and work on JSON and AVRO messages

About

If you want to understand the concept of stream processing, this course is for you. Using Kafka, the course will help you get to grips with real-time stream processing and enable you to apply that knowledge to learn Kafka programming techniques.

This course uses the Kafka Streams library available in Apache Kafka 2.x. All the source code and examples on Apache Kafka 2.3 open-source distribution have been tested. You'll understand and explore Confluent Platform functionalities such as Schema Registry and Avro Serdes using the Confluent Community Version. This course makes extensive use of IntelliJ IDEA and Apache Maven as the preferred development IDE. You'll leverage Log4J2 and JUnit5 for industry-standard log implementation in your application and implementing unit test cases, respectively.

Features

Design, develop, and test real-time stream processing applications using Kafka Streams
Explore the Kafka Streams architecture, Streams DSL, and exactly-once processing in Apache Kafka
Autogenerate Java Objects from JSON and AVRO Schema definition