Phase 2 — Most Important

Apache Kafka with Confluent Kafka Python

Kafka is a distributed, append-only commit log for events. Producers write events to topics; consumers read them at their own pace. It is the durable, replayable backbone that connects your services, databases, and analytics — explained here in plain words with runnable confluent_kafka Python examples.

Why this is your most important phase? Once you understand topics, partitions, offsets, and consumer groups, you understand event-driven architecture, CDC, streaming pipelines, and the outbox pattern — the core of modern data engineering.

Distributed logDurable & replayablePartitioned Producer / ConsumerExactly-onceSchema RegistryCDC / Debezium

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Kafka · Confluent Kafka Python — Phase 2 Notes · Single self-contained HTML file.
Install the client: pip install confluent-kafka · Progress stored locally via localStorage.