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Data Integration Challenge for Industry 4.0. Industry 4.0 (I4. 0) is a global trend in manufacturing aiming at plants with fully computerized and automated production processes. In these plants, production assets, such as assembly lines and manufacturing robots, are heavily equipped with sensors that report various characteristics of assets including temperature, state, and errors in operation. Sensor data collected from assets can be integrated with the master data describing more static information of assets such as engineering specifications, input/output, as well as with the descriptions of manufacturing processes at the plant, and then used for real time asset monitoring, diagnostics, and control. The latter tasks are in the heart of I4. 0 and they are challenging due to the complexity of the required underlying data integration over heterogeneous information of temporal nature that has high volume and velocity [4]. This integration challenge has attracted a considerable attention in both academia and industry, where the notable industrial solutions include Siemens Mindsphere and ABB Ability. Bosch has more than 400K employees worldwide and its manufacturing targets a wide range of markets including automobile industry, consumer goods, energy, building technology. According to a Bosch internal study at a dozen of production plants, the current estimated cost for data and machine integration tasks for I4. 0 applications at Bosch is around 90M EUR. To facilitate this I40 shift at its factories Bosch develops the Nexeed platform. It will in particular leverage the Digital Twins technology for modeling industrial assets, semantics for integration of data …