Our lab is excited to be presenting two papers at VLDB 2025 in London this week! 🇬🇧

The Data Systems Lab is seeking a motivated PhD candidate to join our team and work on foundation models for data compression.

Off to SIGMOD 2025 in Berlin! 🚄 Here’s our schedule: Today, 4:20 PM: 💡 Redbench: A Benchmark Reflecting Real Workloads (aiDM) Wed, 2:00 PM: 🏆 DPconv: Super-Polynomially Faster Join Ordering Thu, 2:30 PM: ❄️ Pruning in Snowflake: Working Smarter, Not Harder Come say hi! 👋

Excited to share our latest paper in collaboration with Snowflake! Congratulations to my PhD student, @andizimmerer.bsky.social, on his first SIGMOD publication, and many thanks to Snowflake for their support—both in providing essential statistics and championing the work.

Fantastic news 🎖️ @mihailstoian.bsky.social will present DPconv at SIGMOD in Berlin this June.

Thrilled to share that we've received the Best Demonstration Award 🏆 at EDBT 2025! Congratulations to my students @mihailstoian.bsky.social and Ping-Lin Kuo for their excellent work and dedication over the past few weeks—well deserved! Paper: openproceedings.org/2025/conf/ed...

We just released Redbench, a new benchmark that contains 30 analytical SQL workloads that can be used to benchmark workload-driven optimizations. Go check it out! GitHub: github.com/utndatasyste...

A huge thank you to our speakers and everyone who contributed to the great discussions at today’s workshop! A big shout-out to Manisha Luthra and @matthiasboehm7.bsky.social for co-organizing—always a pleasure working together! 😊

We just announced the program. Hope to see you in Bamberg on Tuesday! luthramanisha.github.io/ML4Sys-and-S...

It was a pleasure to host six students from the Software Engineering Elite Graduate Master's Program (University of Augsburg, @tum.de, and @lmumuenchen.bsky.social) for a brief visit to UTN.

This week, in the Data Engineering course of the AI & Robotics Master's program at UTN, we had the pleasure of hosting Alex Hall from @firebolthq.bsky.social for an insightful talk on optimizing SQL query performance through caching and reusing subresults in repetitive workloads.

Are you a fan of Parquet and at #NeurIPS2024 tomorrow? Let's meet at our poster at @trl-research.bsky.social to see how you can reduce your Parquet file sizes by up to 40%. Virtual compresses tables via functions while ensuring fast column scans. ⏰ 2.30pm 📍East Meeting Room 11 & 12

Come join us in Bamberg in March. The submission process is very lightweight, you just need to complete a Google Form.

Vol:17 No:12 → DataLoom: Simplifying Data Loading with LLMs 👥 Authors: Alexander Van Renen, Mihail Stoian, Andreas Kipf 📄 PDF: https://www.vldb.org/pvldb/vol17/p4449-renen.pdf