Streaming & Real-time intermediate ⏱ 10–12 hours

Streaming Fundamentals

Learn the core concepts of real-time data streaming — event producers, brokers, consumers, and stream processing patterns.

KafkaStreamingReal-timeEvents

View project on GitHub

What you’ll build

A streaming pipeline covering the fundamental patterns: producing events, consuming them reliably, handling late data, and processing in real time. Uses Kafka as the broker with Docker-based setup for local development.

Skills you’ll practice

Kafka fundamentals: topics, partitions, consumer groups, offsets
Producer and consumer patterns in Python
Event-driven architecture vs batch processing
Exactly-once semantics and delivery guarantees