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Apache Kafka & Stream Processing Fundamentals · Lesson

Building a Simple Kafka Streams App

Create your first Kafka Streams application to process data in real-time from Kafka topics.

Welcome to Kafka Streams!

Ready to build real-time data processing apps? Kafka Streams is a client library for building applications and microservices that process data stored in Kafka.

It lets you write standard Java/Scala applications that leverage Kafka's power for stream processing. Think of it as a toolkit to transform, filter, and analyze data as it flows through Kafka.

The Power of Kafka Streams

Kafka Streams offers several key advantages for your real-time applications:

  • Lightweight: It's just a library, no separate cluster needed.
  • Fault-Tolerant: Automatically handles failures and data recovery.
  • Scalable: Easily scales by adding more instances of your application.
  • Exactly-Once Processing: Guarantees data is processed once, even with failures.

It's great for real-time analytics, data transformations, and event-driven microservices.

All lessons in this course

  1. Building a Simple Kafka Streams App
  2. KStream & KTable Concepts
  3. Stateless vs. Stateful Operations
  4. Serdes & Data Serialization in Kafka Streams
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