Data infrastructures for the future – robust, scalable and future-proof
Research focus areas
Our research in this field explores how to design and implement robust and scalable data infrastructures for the reliable management of large and complex data sets. This includes the development of automated data pipelines that enable the efficient processing, integration and storage of data from heterogeneous sources.
Our expertise covers the preparation, cleansing, transformation and extraction of data – with the objective of building reliable platforms for data-driven analytics, whether for machine learning, visualisations or statistical analysis.
We place particular emphasis on reproducibility, maintainability and the long-term scalability of our systems.
We act as a technical partner for projects in which the efficient organisation, structuring and preparation of data are central – ranging from foundational research to industrial-scale data processing.
Degree programmes offerings
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Continuing education offerings
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For further information about the School of Computer Science FHNW or to discuss a potential collaboration, please contact us:
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