Building Edge Analytics at the Edge with Open Source Components in Action

Internet-of-Things supports machines, computers and users to enable intelligent operations using advanced device management and data analytics. Growing massive volumes of data captured by IoT sensors …

Internet-of-Things supports machines, computers and users to enable intelligent operations using advanced device management and data analytics. Growing massive volumes of data captured by IoT sensors and minimizing latency to improve response times are inevitably lead the edge computing and this implies the edge analytics process and analyze data at the source rather than sending that data back to the cloud. Although this data analysis at the edge offer a cost-effective and relatively efficient solution, building the edge analytics applications is hard to achieve under the limited computational and storage capabilities the IoT devices have.Hyokeun Choi, a dev. leader of Brightics IoT platform at Samsung SDS, will introduce how to build performance efficient, portable edge analytics, demonstrate this benefits, and discuss the open source components while enabling this feature in Action.