Daniel Lindner
Contact
+49 (331) 5509-3475
daniel.lindner(at)hpi.de
Office: F-2.07
Research Areas: Data Profiling, Hyrise
Research
"Good manners don't cost nothing." — Ian Fraser Kilmister
Database operations do. My research is about investigating how DBMSs profit from incorporating data dependencies into query optimization. Thus, I leverage the impact of data dependency-based query optimization with unsupervised data dependency discovery. Besides, I develop new, advanced query optimization techniques.
Teaching
Lectures & Seminars
- Develop Your Own Database (Summer 2026)
- Develop Your Own Database (Summer 2025)
- Advanced Data Profiling (Winter 2023/24)
- Develop Your Own Database (Summer 2023)
- Develop Your Own Database (Summer 2022)
(Co-)Supervised Masters' Theses
- DV-Tree: A Multi-Version Index for Functional and Order Dependency Validation. Jonas Baltruschat, April 2026.
- Cardinality Estimation with Data Dependencies. Paul Rößler, April 2026.
- Using Coordinated Probabilistic Filters to Reduce Intermediate Query Results. Tobias Jordan, March 2026.
- A Three-Tier Buffer Manager with CXL-Attached Memory for In-Memory Databases. Niklas Riekenbrauck, August 2023.
Publications
2026
- Daniel Lindner, Jonas Baltruschat, Kisung Park, Taehyung Lee, Heesik Shin, Daniel Ritter, Felix Naumann: HaDA: Empower Database Experts with Data Dependencies. Accepted at VLDB 2026 Demo Track.
- Daniel Lindner, Daniel Ritter, Felix Naumann: Unleashing Data Dependency-based Query Optimization. Proceedings of the International Conference on Extending Database Technology (EDBT), 516–529. [ BibTeX ] [ URL ] [ DOI ]
2024
- Niklas Riekenbrauck, Marcel Weisgut, Daniel Lindner, Tilmann Rabl: A Three-Tier Buffer Manager Integrating CXL Device Memory for Database Systems. Joint International Workshop on Big Data Management on Emerging Hardware and Data Management on Virtualized Active Systems @ ICDE 2024, 395–401. [ BibTeX ] [ URL ] [ DOI ]
2022
- Daniel Lindner, Franziska Schumann, Nicolas Alder, Tobias Bleifuss, Leon Bornemann, Felix Naumann: Mining Change Rules. Proceedings of the International Conference on Extending Database Technology (EDBT), 2:91–2:103. [ BibTeX ] [ URL ] [ DOI ]
- Jan Kossmann, Daniel Lindner, Felix Naumann, Thorsten Papenbrock: Workload-driven, Lazy Discovery of Data Dependencies for Query Optimization. Proceedings of the Conference on Innovative Data Systems Research (CIDR), 7 pages. [ BibTeX ] [ URL ]