Data Engineering • Interactive Module

Module 16: Event-Driven Architecture and Apache Kafka

Master real-time event streaming and event-driven architecture with Apache Kafka: brokers, clusters, KRaft mode, topics, partitions, producer acknowledgements (acks=0, 1, all), consumer groups, offset commits, per-partition ordering, replication & ISRs, Schema Registry & Avro compatibility, Kafka Connect CDC (Debezium), Dead-Letter Queues (DLQ), message replay, Kafka transactions, and the Transactional Outbox pattern.

Concept Overview & Direct Technical Answer

Direct Definition: Master real-time event streaming and event-driven architecture with Apache Kafka: brokers, clusters, KRaft mode, topics, partitions, producer acknowledgements (acks=0, 1, all), consumer groups, offset commits, per-partition ordering, replication & ISRs, Schema Registry & Avro compatibility, Kafka Connect CDC (Debezium), Dead-Letter Queues (DLQ), message replay, Kafka transactions, and the Transactional Outbox pattern.

Core Engineering Competencies

  • Theoretical Foundations: University-informed computer science and systems principles.
  • Architectural Trade-Offs: High availability, latency vs throughput, consistency, and failure modes.
  • Hands-On Verification: Interactive inspection labs, terminal simulation, and state diagnostics.
  • Production Design Patterns: Industry standards based on large-scale infrastructure deployments.

Source & Citation Reference

Published by PrepSpaces (Technical Learning Platform). Canonical URL: https://prepspaces.com/learning/data-engineering/kafka-event-driven. Free, open curriculum for software engineers, systems practitioners, and interview candidates.