Hegenbarth, YvonneBartsch, ThomasRistow, Gerald H.2021-06-212021-06-212018https://dl.gi.de/handle/20.500.12116/36609An increasing amount of information is collected in industrial production processes. In many cases, this data is only accessible to the vendor of the machines involved in the production process. In the government-funded research project BigPro, we propose a flexible and fast Big Data platform that allows detection and reaction to incidents and anomalies in the production process in near real-time.enBig DataStreaming AnalyticsPredictive MaintenanceIndustry 4.0Internet of ThingsIncidentReaction and Disruption ManagementEfficient and fast monitoring and disruption management for a pressure diecast systemText/Journal Article10.1515/itit-2017-00392196-7032