SIEM Architecture and Data Processing by understanding how Security Information and Event Management systems collect, process, and analyze security data at scale. This training covers core SIEM components such as data sources, collection agents, processing engines, correlation layers, storage systems, and analytics modules. It explains how data processing converts raw logs into structured security events for effective monitoring and threat detection. You will learn how SIEM systems handle high-volume log ingestion, normalization, enrichment, and event correlation across enterprise environments. The course also covers scalability design, performance optimization, data flow management, and integration with security tools and cloud platforms. It focuses on building efficient architectures and optimized data pipelines for reliable cybersecurity operations.
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