Christian Egeberg - Developer at Knowit
Speech: Processing of Industrial IoT data streams
Experiences from developing in production, high volume IoT data stream processing solutions that utilize aggregation, KPIs and machine learning in a flexible, generic and reusable way. Briefly touching topics like introduction, strategies, architecture, temporary storage, precalculation, aggregation, configurable rules, machine learning model integration, performance and scaling.
Christian has spent the last few years developing cloud based data engineering and storage solutions for processing of high volume industrial IoT data streams. He also enjoys tinkering with all kinds of gadgets, and low light photography.