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Researchers from DFKI's Intelligent Analytics for Massive Data (IAM) Group offer presentations at CIDR 2020

Researchers from DFKI’s Intelligent Analytics for Massive Data (IAM) Group, TU Berlin’s Database Systems and Information Management (DIMA) Group as well as Big Data Management (BigDaMa) Group offered presentations on their latest research at the 10th Biennial Conference on Innovative Data Systems Research (CIDR) 2020 held between January 12th through January 15th in Amsterdam, The Netherlands.

© Jonas Traub
Dr. Steffen Zeuch presenting the NebulaStream Platform at CIDR 2020.

Dr. Steffen Zeuch presented “The NebulaStream Platform for Data and Application Management in the Internet of Things.” Originating at TU Berlin and DFKI, NebulaStream is a novel database management system specially developed for the Internet of Things (IoT). NebulaStream addresses the heterogeneity and distribution of compute and data, supports diverse data and programming models going beyond relational algebra, deals with potentially unreliable communication, and enables constant evolution under continuous operation. To download the paper visit

Jointly co-authored with BigDaMa PhD Student Mahdi Esmailoghli, Prof. Ziawasch Abedjan presented “CAFE: Constraint-Aware Feature Extraction from Large Databases,” during the traditional Gong Show. The talk discussed feature selection in the context of the upcoming 2020 election primaries in the U.S. For more details, download the paper at:

CIDR is a systems-oriented conference, emphasizing the systems architecture perspective. Historically, the biennial conference begun in 2003 was always held in Asilomar, California (USA). From 2020 on, the conference will be organized annually, alternating between Amsterdam (even years) and Asilomar (odd years).

For more information about DIMA, BigDaMa, IAM, and the NebulaStream Platform visit:


[1] “The NebulaStream Platform: Data and Application Management for the Internet of Things,” Steffen Zeuch, Ankit Chaudhary, Bonaventura Del Monte, Haralampos Gavriilidis, Dimitrios Giouroukis, Philipp M. Grulich, Sebastian Breß, Jonas Traub, and Volker Markl.

[2] “CAFE: Constraint-Aware Feature Extraction from Large Databases,” Mahdi Esmailoghli and Ziawasch Abedjan.