Haralampos Gavriilidis' project, ''Efficient and Effective Query Processing for Federated Data Analytics'', aims at assisting
today’s data scientists in creating valuable insights by breaking inter- and intra-organizational data silos.
Current mediator-wrapper-based solutions are based on a centralized query processing model and hence require additional resources,
lead to redundant data transfer, and cause longer execution time. This project proposes a novel query processing architecture
where participating database management systems collaboratively compute user query results in a decentralized fashion.
For his project, Haralampos will be collaborating with Huawei, a large telecommunication company and cloud service provider.
Project duration: 2023-2025
Funding source: the Software Campus