A Java library designed for building real-time, event-driven applications and microservices. The text explores the evolution of data processing, moving from traditional batch processing to modern stream processing where data is handled immediately as it arrives. Readers are introduced to the core architecture of Apache Kafka, including fundamental components like producers, consumers, topics, and partitions. The documentation uses a retail example from a fictional company, ZMart, to illustrate how to construct a topology of processing nodes for tasks such as data masking and rewards calculations. Furthermore, the material covers advanced topics including stateful operations, the KTable API, and interactive queries for monitoring data flows. Overall, the text serves as a technical guide for developers to master high-throughput, fault-tolerant stream processing within the Kafka ecosystem.
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