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
Our most recent peer reviewed publications
GraDES-NDA 20192019 International Conference on Management of Data, SIGMOD 2019 (2019)
Cluster-preserving sampling from fully-dynamic streaming graphsInformation Sciences (2019)
Graph query processingEncyclopedia of Big Data Technologies (2019)
On directly mapping relational databases to property graphs13th Alberto Mendelzon International Workshop on Foundations of Data Management, AMW 2019 (2019)
A bounded-size clustering algorithm on fully-dynamic streaming graphsIntelligent Data Analysis (2018)