Apache Kafka for Event Streaming focuses on building scalable and fault-tolerant systems for processing real-time data streams. Kafka enables high-throughput event streaming and reliable data exchange across distributed applications. This training explains how Kafka producers, consumers, brokers, and topics work together in event-driven architectures. It also covers stream processing, message retention, partitioning, replication, and data pipeline integration techniques. You will learn how organizations use Kafka for real-time analytics, monitoring, log aggregation, and data integration workflows. The course also highlights best practices for building secure, scalable, and high-performance event streaming systems.
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