Prof. Dr. Felix Naumann

Daniel Lindner

PhD Candidate & Research Assistant

Phone:+49 (331) 5509-3475
Address:August-Bebel-Str. 88, 14482 Potsdam
Links:LinkedInGitHub | Google Scholar | dblp | ORCID


Research Area: Data Profiling


"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.


Lectures & Seminars

  • Advanced Data Profiling (Winter 2023/24)
  • Develop Your Own Database (Summer 2023)
  • Develop Your Own Database (Summer 2022)

(Co-)Supervised Masters' Theses

  • A Three-Tier Buffer Manager with CXL-Attached Memory for In-Memory Databases. Niklas Riekenbrauck, August 2023.



  • 1.
    Riekenbrauck, N., Weisgut, M., Lindner, D., Rabl, T.: 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 (2024).


  • 1.
    Lindner, D., Schumann, F., Alder, N., Bleifuss, T., Bornemann, L., Naumann, F.: Mining Change Rules. Proceedings of the 25th International Conference on Extending Database Technology, EDBT 2022, Edinburgh, UK, March 29 - April 1, 2022. pp. 2:91–2:103 (2022).
  • 2.
    Kossmann, J., Lindner, D., Naumann, F., Papenbrock, T.: Workload-driven, Lazy Discovery of Data Dependencies for Query Optimization. Proceedings of the Conference on Innovative Data Systems Research (CIDR) (2022).


  • Learned What-If Cost Mode... - Download
    Lindner, D., Loeser, A., Kossmann, J.: Learned What-If Cost Models for Autonomous Clustering. New Trends in Database and Information Systems - ADBIS 2021 Short Papers, Doctoral Consortium and Workshops, Tartu, Estonia. pp. 3–13 (2021).