Edge and Big data

With the explosive growth in the number of Internet-connected devices, such as smart “things”, traffic sensors, distributed video cameras, and connected appliances, a flood of data is being generated, which is processed using edge computing resources. Real-time edge analytics will enable to quickly find useful correlations, customer preferences, hidden patterns, and other valuable information that can assist organizations and decision makers to take more-informed business actions. The influx of additional data – which will need to be processed in real-time – will drive the need for Edge computing.

Edge Computing can cut down on “noise”, filtering data to provide only useful and relevant information.

Instead of sending huge amounts of data to the cloud and incurring the overhead of database I/O and GPU training time, as also a hefty telecom bill or a data scientist’s salary– most of the value can be wrought from sensor data close to where it was created and in real time i.e. the Edge . As the speed and density of edge computing devices goes up, the need to shunt data into the cloud for after-the-fact analysis will decline.