Description: IoT data management refers to the processes and technologies used to collect, store, and analyze data generated by devices connected to the Internet of Things (IoT). This management encompasses integrating sensors, actuators, and other devices that generate large volumes of real-time data. This data can be used to monitor device status, optimize processes, and make informed decisions based on data analysis. Key features of IoT data management include the ability to handle real-time data, scalability to support an increasing number of devices, and security to protect sensitive information. Additionally, IoT data management enables the implementation of machine learning algorithms and predictive analytics, enhancing operational efficiency and user experience. In summary, IoT data management is essential for maximizing the potential of connected devices and facilitating the creation of innovative solutions across various sectors such as industry, healthcare, and smart homes.