Getting more out of Big Data through faster and better insights
Supporting richer, more accurate data analytics with data-intensive systems helps data scientists gain high-value insights for smarter decision-making.
The DB group investigates data management and data-intensive systems, inspired by real-world application and analytics scenarios in close cooperation with public sector and industrial research partners. Expertise within the group includes query language design and foundations, query optimization and evaluation, data analytics, and data integration.
Meet some of our Researchers
Paul De Bra
Our most recent peer reviewed publications
HM-EIICTJournal of Combinatorial Optimization (2022)
Characterizing Data Scientists' Mental Models of Local Feature Importance(2022)
Increasing Awareness of SQL Anti-Patterns for Novices: A Study Design(2022)
Poster27th ACM Symposium on Access Control Models and Technologies, SACMAT 2022 (2022)
So many brackets! An analysis of how SQL learners (mis)manage complexity during query formulationInternational Conference on Program Comprehension (2022) (2022)