Dylan Scott Knihy

Master the wicked-fast Apache Kafka streaming platform through hands-on examples and real-world projects. You will learn to understand core Kafka concepts, set up and execute basic ETL tasks using Kafka Connect, and perform administrative tasks. The guide covers producing and consuming event streams, working with Kafka from Java applications, and implementing Kafka as a message queue. Starting with an overview of Kafka's core concepts, you'll quickly learn to set up and execute data movement tasks, producing and consuming streams of events. As you progress, you'll integrate Kafka into your daily workflow and explore advanced topics. The technology behind Kafka acts as a high-performance software bus for event streaming, logging, analytics, and data pipeline tasks, enabling features like operational data monitoring and large-scale event processing in applications. This resource introduces Kafka's core features and relevant examples for real applications, covering common use cases such as logging and managing streaming data. By the end, you'll be equipped to handle both basic developer and admin tasks within a Kafka-focused team. Targeted at intermediate Java developers or data engineers, no prior knowledge of Kafka is required. The authors are experienced professionals in software development and Kafka advocacy, ensuring you receive expert insights throughout your learning journey.