The industry of the future is based on a comprehensive collection and analysis of production data. In order to enable IoT applications and machine learning, this data must be collected, analysed and managed. This is done peripherally, with foresight and increasingly close to the process - if possible, in real time and with low latency. With the integration of cyber physical systems into production, the boundaries between classic IT and operation technology blur more and more. Unfortunately, these systems are still mainly open and inhomogeneous despite all standardization approaches. In order to optimize manufacturing and production processes, solutions are needed
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