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

Partners

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

Sponsors

Federal Ministry of Economics and Energy (BMWi)

Federal Ministry of Economics and Energy (BMWi)

Publications about the project

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

In: Proceedings of the International Conference on Management of Data (SIGMOD/PODS) 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
Dimitris Giouroukis, Volker Mark, Steffen Zeuch, Xenofon Chatziliadis, Ankit Chaudhary, Philipp Grulich, Ariane Ziehn

In: Open Journal Internet Things Conference: VLIoT@VLDB '20: Proceedings of Intl. Workshop on Very Large Internet of Things. International Workshop on Very Large Internet of Things (VLIoT-2020) September 4 Pages 66-81 Open Journal of Internet of Things (OJIOT) 6 1 RonPub UG Lübeck 1/2020.

To the publication

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz