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KDS2020 - Processing of Industrial IoT data streams - Christian Egeberg

KDS2020 - Processing of Industrial IoT data streams - Christian Egeberg PSA: We are sorry to inform that the first 1.5 minutes does not have any sound due to technical difficulties.

About how to utilize rapidly streaming sensor values for more than just trivial value limit alerts. Parts architecture, temporary storage, precalculation, aggregation, performance and scaling. Based on real world project experience during the last couple of years.

Christian Egeberg

Christian is proficient in .Net technology, cloud architecture, object-oriented software development, agile methodologies, mobile devices, Azure, web 2.0, databases, data integration and query optimization. He has extensive experience in the development of cloud services, web applications, mobile apps, three-layer applications, visualization of data, map integration, and SMS / MMS services. He also loves tinkering with gadgets like HoloLens, Oculus Rift, Oculus Touch, Leap Motion, wearables, and other connected or mobile devices. Some of Christian's photographs can be viewed at

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