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In-Depth Description
This resource provides a comprehensive guide to real-time data processing with Apache Kafka, a distributed streaming platform capable of handling trillions of events a day. It covers core Kafka concepts such as producers, consumers, topics, partitions, and brokers, explaining how to build robust, scalable, and fault-tolerant data pipelines. Learn about Kafka Streams for in-stream processing, Kafka Connect for integrating with other systems, and best practices for deploying and managing Kafka clusters. Ideal for data engineers, software architects, and developers working with event-driven architectures and big data analytics.