Cloud & Edge Computing in IoT combines centralized cloud resources with edge processing to efficiently manage data from connected devices. Cloud computing provides scalable storage, computing power, and analytics for large-scale IoT data processing. Edge computing brings computation closer to devices to reduce latency and enable real-time decision-making. This training explains how both approaches work together to balance performance, bandwidth usage, and response time in IoT systems. It also covers data flow between edge devices and cloud platforms, along with key architectural patterns. You will learn how hybrid cloud-edge models improve scalability, reliability, and efficiency in applications like smart cities, industrial automation, and healthcare monitoring.
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