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Stefan Weidemueller-Schmidt

Markus Winkler

Tom Kiemes

Theodor Foerster

Philip Transfeld

Methods, systems, and computer-readable storage media for selective use of Internet-of-Things (IoT) data in data analytics systems. Implementations include receiving IoT data from an IoT device, determining that hardening is to be applied to the IoT data, comparing a timestamp of the IoT data to a hardening value, and in response to comparing, selectively using the IoT data in one or more uses by the data analytics system.

Supporting reportability of Internet of Things (IoT) data in the cloud for enterprise contexts

Methods, systems, and computer-readable storage media for selective segmentation of Internet-of-Things (IoT) data in data analytics systems. Implementations can include receiving IoT data from an IoT device, determining that segmentation is to be applied to the IoT data, determining a segment start and a segment end for a segment based on one of a property represented in the IoT data and a property value represented in the IoT data, and providing a table that records the segment independently of the IoT data.

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Dielheim, Germany

Stefan Weidemueller-Schmidt