Skip to main content Skip to main navigation

Project | ExDRa


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

Publications about the project

  1. ExDRa: Exploratory Data Science on Federated Raw Data.

    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.


BMWK - Federal Ministry for Economic Affairs and Climate Action

BMWK - Federal Ministry for Economic Affairs and Climate Action