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The Internet of Things (IoT) refers to the expanding network of interconnected devices, vehicles, buildings, and other items embedded with electronics, software, sensors, and connectivity which enables these objects to collect and exchange data. In the context of Data Engineering, IoT involves managing, processing, and analyzing the vast amounts of data generated by these connected devices to derive meaningful insights and improve decision-making. This includes dealing with real-time data streams, ensuring data quality, implementing data security measures, and creating scalable data architectures to handle the growing volume, variety, and velocity of IoT data. As such, IoT in Data Engineering is about leveraging advanced technologies and techniques to turn raw data into actionable intelligence, ultimately driving business value and innovation.