📊 IoT Data Management What is IoT Data Management? IoT Data Management involves the processes and technologies used to collect, store, process, analyze, and secure the massive amounts of data generated by IoT devices and sensors. 🔑 Key Steps in IoT Data Management Data Collection Gathering raw data from diverse IoT devices and sensors. Handling different data formats (structured, unstructured, time-series). Data Transmission Transferring data securely from edge devices to cloud or data centers. Use of protocols like MQTT, CoAP, HTTP. Data Storage Efficient storage solutions to handle large-scale data (cloud storage, edge storage, databases). Balancing between real-time storage needs and long-term archival. Data Processing and Analysis Edge computing processes data locally to reduce latency. Cloud-based analytics for deep insights and machine learning. Real-time vs batch processing. Data Security and Privacy Encryption, access ...