Kafka: The Definitive Guide: Real-Time Data and Stream Processing at Scale Master Kafka's architecture and components: Understand how Kafka works, from its distributed architecture to its fault-tolerant design. Build and manage Kafka clusters: Learn best practices for setting up, configuring, and monitoring Kafka clusters. Process data in real time: Explore Kafka's streaming capabilities, including data ingestion, transformation, and consumption. Scale Kafka for high-volume data: Discover techniques for scaling Kafka to handle massive data volumes and high throughput. Integrate Kafka with other technologies: Learn how to connect Kafka to popular data sources and destinations, such as databases, Hadoop, and cloud platforms. Develop Kafka applications: Build end-to-end Kafka applications using various programming languages and frameworks. * Troubleshoot and optimize Kafka: Identify and resolve common Kafka issues, and optimize performance for maximum efficiency.