Towards a Modular Data Management System Framework. - Haralampos Gavriilidis; Lennart Behme; Sokratis Papadopoulos; Stefano Bortoli; Jorge-Arnulfo Quiané-Ruiz; Volker Markl (CDMS@VLDB, 2022)

The Art of Losing to Win: Using Lossy Image Compression to Improve Data Loading in Deep Learning Pipelines. - Lennart Behme; Saravanan Thirumuruganathan; Alireza Rezaei Mahdiraji; Jorge-Arnulfo Quiané-Ruiz; Volker Markl (ICDE, 2023)

Fainder: A Fast and Accurate Index for Distribution-Aware Dataset Search. - Lennart Behme; Sainyam Galhotra; Kaustubh Beedkar; Volker Markl (Proc. VLDB Endow., 2024)

Teaching Large-Scale Data Management to Large Cohorts of Undergraduate Students. - Lennart Behme; Gereon Dusella; Rudi Poepsel Lemaitre; Alexander Borusan; Volker Markl (DataEd@SIGMOD, 2025)

CompoDB: A Demonstration of Modular Data Systems in Practice. - Haralampos Gavriilidis; Lennart Behme; Christian Munz; Varun Pandey; Volker Markl (EDBT, 2025)

Finding What You're Looking For: A Distribution-Aware Dataset Search Engine in Action. - Lennart Behme; Leonard Geißler; Pratham Agrawal; Emil Badura; Benjamin Ueber; Kaustubh Beedkar; Volker Markl (SIGMOD Conference Companion, 2025)