IoT Analytics: Using Big Data to Architect IoT Solutions

A typical IoT system would comprise the architecture depicted in Figure 1; sensors would collect data and transfer them to a gateway, which in turn would send them to a processing system (analytics cloud). The gateway can choose either to or not summarize or preprocess the data. The connection between sensors and gateway would be via Radio Frequency (e.g. Zigbee), BLE, Wifi, or even wired connections. Often, the gateway is a mobile phone. The connection from the gateway to the analytic servers would be via the Internet, LAN, or Wi-Fi connection, and it will use a higher-level protocol, such as MQTT or CoAp1. Given that the focus of this paper is on IoT analytics, we won’t be delving too much into devices and connectivity. Assuming that part is done, how hard is it to figure out IoT analytics? Is it just a matter of offloading the data into one of the IoT analytics platforms or are there hidden surprises?

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