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Exploratory Data Science over Raw Data

The idea of the ExDRa project is to investigate suitable system support for the exploratory data science process on heterogeneous and distributed raw data sources and to provide it as part of a prototype for real-world use cases. In detail, the approach includes the following main research areas:: • Ad-hoc and federated data integration over raw data • Data organization and reuse of intermediate results • Horizontal optimizations across the entire data science life cycle • Request planning for limited access to data


  • Siemens AG (Erlangen)
  • TU Berlin
  • TU Graz
  • Bundesverband Mittelständischer Wirtschaft


BMWK - Federal Ministry for Economic Affairs and Climate Action

BMWK - Federal Ministry for Economic Affairs and Climate Action

Publications about the project

Steffen Zeuch; Xenofon Chatziliadis; Ankit Chaudhary; Ariane Ziehn; Dimitrios Giouroukis; Philipp M. Grulich; Dwi Prasetyo Adi Nugroho; Volker Mark

In: Datenbank-Spektrum (Spektrum), Vol. 22 (2), Pages 131-141, Springer, 5/2022.

To the publication

Sebastian Baunsgaard; Matthias Boehm; Ankit Chaudhary; Behrouz Derakhshan; Stefan Geißelsöder; Philipp M. Grulich; Michael Hildebrand; Kevin Innerebner; Volker Markl; Claus Neubauer; Sarah Osterburg; Olga Ovcharenko; Sergey Redyuk; Tobias Rieger; Alireza Rezaei Mahdiraji; Sebastian Benjamin Wrede; Steffen Zeuch

In: SIGMOD/PODS '21: Proceedings of the 2021 International Conference on Management of Data. ACM SIGMOD International Conference on Management of Data (SIGMOD-2021), Pages 2450-2463, ISBN 978-145038343-1, ACM, New York, NY, 2021.

To the publication

Ioannis Prapas; Behrouz Derakhshan; Alireza Rezaei Mahdiraji; Volker Markl

In: Datenbank-Spektrum (Spektrum), Vol. 21, No. 3, Pages 203-212, Springer, 2021.

To the publication