Apache Storm and Kafka focus on building real-time data processing and streaming data pipelines for large-scale distributed systems. Apache Kafka is used for high-throughput messaging and event streaming, while Apache Storm processes data in real time. This training explains how Kafka handles data ingestion through topics, producers, and consumers, and how Storm processes continuous data streams. It also covers stream processing architecture, fault tolerance, scalability, and integration between Kafka and Storm. You will learn how organizations use these technologies for real-time analytics, monitoring, and event-driven applications. The course also highlights best practices for designing efficient and scalable streaming data architectures.
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