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

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

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What to know about this course

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. The code bundle is available at https://github.com/PacktPublishing/Apache-Kafka---Real-time-Stream-Processing-Master-Class

Who's this course for?

  • The Kafka Streams - Real-time Stream Processing course is for software engineers looking to develop a stream processing application using the Kafka Streams library.
  • This course will also help Java programmers who want to learn everything necessary to start implementing real-time streaming applications using Apache Kafka.
  • Data architects and data engineers responsible for designing and building the organization’s data-centric infrastructure will benefit from this course.

What you'll 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.

Key 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.

Course Curriculum

About the Author

Prashant Kumar Pandey

Prashant Kumar Pandey is passionate about helping people learn and grow in their careers by bridging the gap between their existing and required skills. In his journey to fulfill this mission, he is authoring books, publishing technical articles, and creating training videos to help IT professionals and students succeed in the industry. He is also the founder, lead author, and chief editor of the Learning Journal portal that has been providing various skill development courses, training sessions, and technical articles since 2018.

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