Haralampos Gavriilidis
Doctoral Researcher
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.
2022 | Software Campus |
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
Gereon Dusella, Haralampos Gavriilidis, Laert Nuhu, Volker Markl, Eleni Tzirita Zacharatou
Multi-Backend Zonal Statistics Execution with Raven
Kaustubh Beedkar, Bertty Contreras-Rojas, Haralampos Gavriilidis, Zoi Kaoudi, Volker Markl, Rodrigo Pardo-Meza, Jorge-Arnulfo Quiané-Ruiz
Apache Wayang: A Unified Data Analytics Framework
Gavriilidis, Haralampos; Rose, Leonhard; Ziegler, Joel; Beedkar, Kaustubh; Quiané-Ruiz, Jorge-Arnulfo; Markl, Volker
XDB in Action: Decentralized Cross-Database Query Processing for Black-Box DBMSes
Yordan Grigorov, Haralampos Gavriilidis, Sergey Redyuk, Kaustubh Beedkar, Volker Markl
P2D: A Transpiler Framework for Optimizing Data Science Pipelines
Haralampos Gavriilidis, Felix Henze, Eleni Tzirita Zacharatou, Volker Markl
SheetReader: Efficient Specialized Spreadsheet Parsing
VLDB honors NebulaStream demo
A perfect conclusion for the BIFOLD team at VLDB 2023 in Vancouver: The Nebula Stream team received an honorable mention for the best demo. In total, eleven researchers from the team of BIFOLD director Volker Markl participated in VLDB 2023 in Vancouver, one of the most important database conferences worldwide.
8 researchers represented BIFOLD at SIGMOD 2023
Eight members of the BIFOLD team took the chance to showcase their recent work at SIGMOD 2023 in Seattle through a diverse array of presentations, including research papers, workshop papers, and a demo paper – all of them underscoring the institute's commitment to cutting-edge research in the field of data management.
Software Campus grant for two BIFOLD PhD students
Two BIFOLD PhD students, Lennart Behme and Haralampos Gavriilidis, have been awarded a Software Campus 2022 grant to conduct their own research projects as junior research leads. The Software Campus (SWC), funded by the German Federal Ministry of Education and Research (BMBF), is an executive development program aimed at shaping tomorrow’s senior IT executives.
Three papers presented at EDBT 2020
Researchers in TU Berlin’s Database Systems and Information Management (DIMA) Group and DFKI’s Intelligent Analytics for Massive Data (IAM) Group presented three systems papers at EDBT 2020, the 23rd International Conference on Extending Database Technology, held from March 30 to April 2. Originally planned to take place in Copenhagen, Denmark, this year’s EDBT conference was held online instead.