The growth of Big Data has happened for various reasons, including the increase of storage capacities, increase of processing power, and data availability. Big Data is gathered from a wide variety of resources, such as social networks, digital images, and sensors. In addition, Big Data analytics are the strategy of analyzing the huge volumes comprising Big Data. It enables users to evaluate a large amount of the transmitted data that traditional systems would be unable to handle. Big Data analytics tools involve some significant advantages, such as cost savings, competitive advantages, and new business opportunities. These advantages can be used to increase the connected intelligence with the Internet of Things (IoT).
In this chapter, I discuss the important features of IoT, including the IoT paradigm, its main elements, popular applications, and security challenges. In addition, various definitions of the intelligence process are considered. Big Data analytics for intelligence of IoT are described based on a review of data storage and processing modules, the key devices of intelligence in IoT, the fundamental mechanisms for Big Data analytics, and Big Data analytics methods for connected intelligence with IoT. Finally, some of the Big Data as well as Big Data analytics methods to enhance the intelligence level of IoT are evaluated in terms of different simulations.
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