Haralampos Gavriilidis is currently pursuing his PhD at DIMA (TU-Berlin), with a focus on efficient cross-database query processing. He received his M.Sc degree at TU Berlin, where he specialized in big (and small) data management systems. During his studies, he worked at DIMA and DFKI as a research assistant, contributing to a compiler infrastructure that enables declarative data analysis on hardware-accelerated query engines. Before his studies at TU Berlin, Harry worked as a full-stack web developer, crafting custom content management systems and web applications.
PolyDB - Efficient and Effective Query Processing for Federated Data Analytics
To create valuable insights, today’s organizations integrate and analyze data from multiple database systems. State of the art approaches for data integration assume that data can be centralized in a single place, the so-called mediator, which also leads to performance bottlenecks. In this project we propose a decentralized query processing model where individual database systems collaboratively carry out data integration and analysis tasks, without requiring a central mediator.
- Cross-database query Processing
- Database systems interoperability
- Query languages