Prof. Dr. Uta Stoerl
Photo: Volker Wiciok
Contact
Email: uta.stoerl
Institutional Affiliation
Faculty of Mathematics and Computer Science, Chair of Databases and Information Systems
Additional information: Profile
Research Interests
(in the fields covered by the research center)
- Database Systems
- Big Data Technologies
- Data Engineering for Data Science
- Digital Humanities
- Hybrid Quantum-Classical Applications
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(in the fields covered by the research center)
- Restat; V.; Rodenhausen, N.; Antonin, C.; Störl, U. (2024): Data Cleaning of Data Streams, in Springer Handbook of Data Engineering.
- V. Restat, M. Klettke, U. Störl: Towards an End-to-End Data Quality Optimizer, DataPlat@ICDE 2024
- V. Restat, M. Klettke, U. Störl: "FAIR" is not enough – A Metrics Framework to ensure Data Quality through Data Preparation, DE4DS@BTW 2023
- Hillenbrand, A.; Störl, U. (2022): Managing Schema Migration in NoSQL Databases through Metric-driven Self-adaptive Migration Strategies, Proceedings of the 10th International Conference on Model-Driven Engineering and Software Development MODELSWARD, 1, 279-286.
- Hillenbrand, A.; Störl, U.; Nabiyev, S. et al.(2022): Self-adapting data migration in the context of schema evolution in NoSQL databases, Distrib Parallel Databases 40, 5–25.
- Klettke, M.; Störl, U. (2022): Four Generations in Data Engineering for Data Science, Datenbank Spektrum 22, 59–66.
- Conrad, A.; Gärtner, S.; Störl, U. (2021): Towards Automated Schema Optimization, in ER 2021.
- Hillenbrand, A.; Scherzinger, S.; Störl, U. (2021): Remaining in Control of the Impact of Schema Evolution in NoSQL Databases, in: Ghose, A., Horkoff, J., Silva Souza, V.E., Parsons, J., Evermann, J. (eds) Conceptual Modeling. ER 2021. Lecture Notes in Computer Science(), vol 13011, Springer.
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(in the fields covered by the research center)
E/E/S Research Center
| 14.07.2025
