On 8 October, Siemens Turbomachinery in Lincoln, UK, invited researchers of the Optique project to a full-day workshop. The Optique project could demonstrate first prototypes of software tailored to querying Siemens’ confidential turbine sensor data. Engineers from Siemens Turbomachinery presented the project with challenges for second year research and development activities.
Engineers in industry spend a significant amount of their time searching for data that they require for their core taks. E.g., in the oil&gas industry, 30–70% of engineers time is spent looking for and assessing the quality of data. (Crompton, 2008)
Numbers provided by Optique partners Siemens and Statoil suggest that Optique could free up a substantial amount of expert time annually in these two companies alone. The potential benefit from a more effective analysis of the data will be even higher.
The project will provide a semantic end-to-end connection between users and data sources. The Optique platform will feature an intuitive, general, but adaptable end-user interface. Data can be integrated from multiple, also streaming, data sources, with the possibility for large-scale parallel cloud processing and storage.
The Optique project brings a unique combination of technologies to bear on Big Data challenges: An end-user-oriented query interface; scalable query rewriting from the end-user to the source vocabulary; temporal and real-time continuous stream processing; scalable storage and query evaluation using elastic clouds.