Big Data Analytics Group

About

Main Interests

We are highly interested in data systems research. In our group we build stuff, be it standalone algorithms, proof of concepts, prototypes, minimal viable products, or entire systems. We perform large scale experimental studies and analysis with the goal to fully understand which method, algorithm and/or system works best in which situation. In particular, we are interested in performance explainability, i.e., why do certain features of a method, algorithm or system have which effect? In addition, we work on several aspects of query processing and optimization.

In all these endeavours, we love both foundational work (“Why does that algorithm behave like this and how can we improve it?”) and “crazy ideas” (“How would the database world look like if we drop this assumption?”, “And why did anyone ever make that assumption anyway?”).

Systems we work on

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