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