Apache Kafka Series - Kafka Streams for Data Processing

Editorial course preview

What the public course preview actually shows

These 4 complementary views highlight concrete, legible examples from the course presentation.

Screenshot of IntelliJ IDEA IDE displaying a Java class named UserEventEnricherApp with Kafka Streams configuration and join logic code. — Preview 1 of 4
A screenshot of the IntelliJ IDEA editor showing the UserEventEnricherApp Java class, demonstrating Kafka Streams configuration properties and data enrichment logic.

A screenshot of an IDE displaying Java code for a WordCountApp class using Kafka Streams, with a terminal window below showing runtime logs about stream thread state transitions. — Preview 2 of 4
This screenshot shows the WordCountApp Java source code in an IDE alongside the console output, demonstrating how to run a Kafka Streams application and interpret its execution logs.

A male instructor in a white shirt stands against a dark background next to a list of three technical concepts: HIGH-LEVEL DSL, STATELESS AND STATEFUL APPLICATIONS, and EXACTLY-ONC — Preview 3 of 4
The instructor introduces key Kafka Streams topics including high-level DSLs, stateless and stateful applications, and exactly-once semantics.

A male instructor in a white shirt stands against a dark background next to text stating 'BEFORE TAKING THIS COURSE' and a warning icon indicating 'APACHE KAFKA BASICS MUST BE MAST — Preview 4 of 4
The instructor presents a prerequisite warning, emphasizing that mastering Apache Kafka basics is required before taking this course.