Our group includes PostDocs, PhD students, and student assistants, and is headed by Prof. Felix Naumann. If you are interested in joining our team, please contact Felix Naumann.

For bachelor students we offer German lectures on database systems in addition to paper- or project-oriented seminars. Within a one-year bachelor project, students finalize their studies in cooperation with external partners. For master students we offer courses on information integration, data profiling, and information retrieval enhanced by specialized seminars, master projects and we advise master theses.

Most of our research is conducted in the context of larger research projects, in collaboration across students, across groups, and across universities. We strive to make available most of our datasets and source code.

Please do not hesitate to reach out directly to us, if you cannot find a paper, slides, or other research artifacts.

14.06.2016

Rheem goes open source

The Rheem project has now published its source code under the Apache License on GitHub.

Rheem is a cross-platform data analytics tool that allows users to formulate data analytics applications independent of any underlying platform. Given such an application, Rheem's optimizer automatically chooses (a combination of) appropriate platforms to run the application on and its execution component takes care of orchestrating the chosen platforms to complete the application's tasks. This approach frees users from tying their applications to concrete platforms and also permits for dynamic execution strategies based on variant circumstances, such as the size of datasets being analyzed.

The Rheem project originates from and is led by the QCRI data analytics group. The research and development for the open-sourced prototype has also been conducted to a great extent by Sebastian Kruse, while and after interning at QCRI. For more information, visit the Rheem webpage.