Learn SIEM Architecture and Data Collection by understanding how Security Information and Event Management systems are designed to gather, process, and analyze security data across enterprise environments. This training covers SIEM architecture components such as data sources, collection agents, log aggregation layers, processing engines, storage systems, and analytics modules. It explains how data collection mechanisms gather logs from networks, servers, applications, endpoints, and cloud platforms to provide centralized visibility. You will learn how to design efficient data pipelines, manage high-volume log ingestion, and ensure reliable data flow for security monitoring. The course also covers scalability considerations, integration techniques, data normalization, and performance optimization for SIEM environments. It focuses on building a structured and efficient architecture for effective security data collection and analysis.
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