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ExDRa

The Exploratory Data Science Over Raw Data (ExDRaProject aims to conduct R&D in exploratory data science. The objective is to provide a support mechanism for exploratory data science and ease the analysis of distributed, heterogeneous raw data as well as to develop a research prototype suitable for real-world use cases. Among the research areas to be addressed are:

1.        ad-hoc and federated data integration over raw data,

2.        data organization and the reuse of intermediate results,

3.        horizontal optimizations across the entire data science lifecycle, and

4.        request planning for limited access to data.

Programm

Smart Data Economy - Technology Competition with a Focus on Artificial Intelligence, Semantics, and Sovereignty” and the ICT of the Future - Smart Data Management AT/DE 2018

Project Duration: 2019 - 2022

Contact: Prof. Dr. Volker Markl

Industry Partner: Siemens AG

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