9.2 Apache Kafka

In this section

• Apache Kafka Architecture and Components: A Comprehensive Guide
  Explore the architecture and components of Apache Kafka, including producers, brokers, topics, partitions, consumers, and more, to understand how Kafka enables scalable and resilient event-driven systems.
• Kafka Streams and kSQL: Stream Processing and Real-Time Analytics
  Explore Kafka Streams and kSQL for scalable, real-time stream processing and analytics in Apache Kafka. Learn about key features, implementation, and best practices.
• Apache Kafka Use Cases and Best Practices for Event-Driven Architectures
  Explore the use cases and best practices for implementing Apache Kafka in event-driven architectures, including real-time analytics, microservices communication, log aggregation, stream processing, and fraud detection.