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GRACEFUL: A Learned Cost Estimator For UDFs

Published in ICDE 2025

Lectures and Courses of the Systems Group

Towards High-performance and Trusted Cloud DBMSs

ELEET: Efficient Learned Query Execution over Text and Tables

How Good Are Learned Cost Models, Really? Insights from Query Optimization Tasks

“Towards Foundation Database Models” won the CIDR 2025 best paper award

SecureSphere: Advancing Security and Robustness in Query Processing over Outsourced Data

GOLAP: A GPU-Accelerated system for high-speed analytics on SSD-resident data

Benchmarking Intel SGXv2, Foundation Database Models

WikiDBs, LOP, ELEET

We are offering a new lecture: Foundations of Modern Data Systems (taught by Prof. Istvan and Prof. Binnig)

We are proud to share that our recent paper “LLMs for Data Engineering on Enterprise Data” has won the Best Short Paper award of the Tabular Data Analysis Workshop at VLDB'24. Whereas recent studies are optimistic about the use of LLMs for data engineering tasks, we show that LLMs still display severe limitations when faced with real-world usage scenarios like enterprise data.

LLMs for Data Engineering on Enterprise Data

Authors: Jan-Micha Bodensohn*, Ulf Brackmann* (SAP & DFKI), Liane Vogel*, Matthias Urban, Anupam Snaghi, Carsten Binnig

LOEWE Top Professorship Awarded to AI and Data Management Expert, Prof. Carsten Binnig

We are happy to announce that our Matthias Urban won the SIGMOD 2024 best Demo award with his demonstration of CAESURA, a multi-modal query planner. Congratulations!

Greetings from SIGMOD 2024. We are happy to bring several new papers and demos with us.

On June 04, Sven Langenecker successfully defended his Ph.D. thesis titled 'Towards Learned Metadata Extraction For Data Lakes'. Congratulations, Dr.-Ing. Langenecker!

Rethinking Table Retrieval from Data Lakes

Authors: Jan-Micha Bodensohn and Carsten Binnig

TrustDDL: A Privacy-Preserving Byzantine-Robust Distributed Deep Learning Framework

Authors: René Klaus Nikiel, Meghdad Mirabi,Carsten Binnig