The Data Engineering Group (DEG) is one of the research groups of the Software and Knowledge Engineering Lab (SKEL). DEG research carried out along three closely related axes:
- The automated homogenization and integration of distributed databases, especially in the Semantic Web context
- Distributed data management and processing, Big Data management and processing, and the processing of private and sensitive data
- Programming languages for processing workflows over big volumes of data or high-speed data streams.
The unifying factor under all three directions is our research on AI for automatically optimizing operations over heterogeneous data and Big Data. The aim is that computations are efficient and correct without requiring that the human programmer or operator deals with the minute details of either the homogenization or the distributed processing.