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Dr. Steffen Zeuch


Database Systems and Information Management (DIMA)
Database Systems and Information Management (DIMA)

Einsteinufer 17, 10587 Berlin

© Zeuch

Dr. Steffen Zeuch

Research Group Lead


Researcher | German Research Center for Artificial Intellligence (DFKI)

  • Cloud Computing
  • Big Data
  • HPC
  • In-memory databases
  • Distributed Computing

Dwi P. A. Nugroho, Philipp M. Grulich, Steffen Zeuch, Clemens Lutz, Stefano Bortoli, Volker Markl

Benchmarking Stream Join Algorithms on GPUs: A Framework and Its Application to the State of the Art

March 28 , 2024

Lepping, Aljoscha; Pham, Hoang Mi; Mons, Laura; Rueb, Balint; Grulich, Philipp M.; Chaudhary, Ankit; Zeuch, Steffen; Markl, Volker

Showcasing Data Management Challenges for Future IoT Applications with NebulaStream

August 01 , 2023

Nils Schubert, Philipp M Grulich, Steffen Zeuch, Volker Markl

Exploiting Access Pattern Characteristics for Join Reordering

June 18 , 2023

Ankit Chaudhary, Jeyhun Karimov, Steffen Zeuch, Volker Markl

Incremental Stream Query Merging

March 28 , 2023

Data Management| Sep 15, 2020

TU Berlin and DFKI database systems researchers offer multiple presentations at VLDB 2020

Researchers at TU Berlin Database Systems and Information Management (DIMA) group and Intelligent Analytics for Massive Data (IAM) group at DFKI presented one full paper, one demo paper and three PhD thesis papers at the 46th International Conference on Very Large Databases (VLDB 2020).

Data Management| Jul 16, 2020

Newest work on the Nebulastream system by database systems researchers of TU Berlin and DFKI will be presented at VLIoT 2020

The Paper “NebulaStream: Complex Analytics Beyond the Cloud” by Steffen Zeuch et al. was accepted for presentation at the 2020 International Workshop on Very Large Internet of Things (VLIoT 2020). VLIoT 2020 will take place in conjunction with the VLDB 2020 conference.
In this paper, the NebulaStream (NES) project team in DFKI’s IAM group and TU Berlin’s DIMA group shows why there is a need for a new End-to-End data processing systems for the Internet of Things (IoT).

Data Management| Mar 24, 2020

Four papers authored by TU Berlin and DFKI researchers have been accepted at SIGMOD 2020

Data management systems researchers in the Database Systems and Information Management (DIMA) Group at TU Berlin and the Intelligent Analytics for Massive Data (IAM) Group at DFKI (the German Research Institute for Artificial Intelligence) were informed that their papers have been accepted at the 2020 ACM SIGMOD/PODS International Conference on the Management of Data.