The Internet of Things (IoT) is the network of physical devices, vehicles, home appliances and other items embedded with electronics, software, sensors, actuators, and connectivity which enables these objects to connect and exchange data.
And, when your stored data are huge in volume then this can be considered as Big data. Added with this, you need to keep in mind the five dimensions, i.e., 'V' for Big data, which are volume, velocity, variety, variability, and value [1].
The Internet of Things (IoT) is the network of physical devices, vehicles, home appliances and other items embedded with electronics, software, sensors, actuators, and connectivity which enables these objects to connect and exchange data.
And, when your stored data are huge in volume then this can be considered as Big data. Added with this, you need to keep in mind the five dimensions, i.e., 'V' for Big data, which are volume, velocity, variety, variability, and value [1].
The Internet of Things (IoT) is the network of physical devices and other items embedded with electronics, software, sensors, actuators and connectivity that enables these objects to connect and exchange info. The IoT allows objects to be sensed or controlled remotely across existing network infrastructure creating opportunities for more direct integration of the physical world into computer-based systems and resulting in improved efficiency, accuracy and economic benefit in addition to reduced human intervention. When IoT is amplified with sensors and actuators, the technology becomes an example of the more general class of cyber-physical systems, which also encompasses technologies such as smart grids, virtual power plants, smart homes, intelligent transportation and smart cities.
The excess growth in the number of devices connected to the Internet of Things (IoT) and the exponential increase in data consumption indicate how the growth of big data perfectly overlaps with that of IoT. The management of big data in a continuously expanding network gives rise to serious concerns regarding data collection, data processing, analytics and security in terms of the five ‘V’s: Volume, Velocity, Variety, Variability and Value.
Adding to the three answers where IoT lead to big data ,one of the five big data characteristics (Vs) is the volume , huge number of data , that mean there is a need to filter data to find the relevant information which is the task of recommender systems.