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Abstract:
Progress in sensor systems and computer simulation create large volumes of data with a variety of parameters. This development brings Big Data and the related challenges for data processing and data analysis also into the focus of geoscience. Computer science has developed concepts and technologies to handle Big Data. Geoscience can benefit from them since they facilitate efficient information extraction from big data, such as data from satellite-based remote sensing systems, or data from seismological or meteorological observation systems. To make use of computer science concepts and technologies, they have to be adapted into geoscience. Examples for this adaption are the development of efficient scalable geoscientific analysis methods by applying the divide-and-recombine concept, or the adaption of geoscientific methods to existing Big Data technologies.
