Professorin Dr. Uta Störl

Foto: Volker Wiciok

Kontakt

E-Mail: Uta Störl

Institutionelle Anbindung

Fakultät für Mathematik und Informatik

Lehrgebiet Datenbanken und Informationssysteme

Weitere Informationen: Profil

Forschungsinteressen

• Veröffentlichungen

  (im Themenbereich des Forschungsschwerpunktes)

  Diestelkämper, I.; Diestelkämper, R.; Restat, V. (2025): CheDDaR: Checking Data – Data Quality Report, BTW 2025. Restat, V.; Störl, U. (2025): ALPINE: Abstract Language for Pipeline Integration and Execution, DE4DS@BTW 2025. Restat, V.; Diestelkämper, I.; Klettke, M.; Störl, U. (2025): FONDUE - Fine-tuned Optimization: Nurturing Data Usability & Efficiency, Journal of Big Data, 12, 131. Restat, V.; Klettke, M.; Störl, U. (2023): "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: Advisor Heuristics vs. Self-Adaptive Schema Migration Strategies, Springer. Restat, V.; Klettke, M.; Störl, U. (2022): Towards a Holistic Data Preparation Tool, DataPlat@EDBT. Hillenbrand, A.; Störl, U. (2022): Automated Curation of Variational Data in NoSQL Databases Through Metric-Driven Self-Adaptive Migration Strategies, MODELSWARD. Klettke, M.; Störl, U. (2021): Four Generations in Data Engineering for Data Science - The Past, Presence and Future of a Field of Science, in Datenbank-Spektrum 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 ER. Hillenbrand, A.; Störl, U.; Nabiyev, S.; Klettke, M. (2021): Self-Adapting Data Migration in the Context of Schema Evolution in NoSQL Databases, in Distributed and Parallel Databases (DAPD), Special Issue on Self-Managing and Hardware-Optimized Database Systems. Hillenbrand, A.; Levchenko, M.; Störl, U.; Scherzinger, S.; Klettke, M. (2019): MigCast: Putting a Price Tag on Data Model Evolution in NoSQL Data Stores, in Demo @ SIGMOD.

• Drittmittelprojekte

  (im Themenbereich des Forschungsschwerpunktes)

  NoSQL Schema Evolution and Big Data Migration at Scale (DFG, 2017-2023)