Andreas Kipf
andreaskipf.bsky.social
Andreas Kipf
@andreaskipf.bsky.social
Professor at University of Technology Nuremberg
Our lab is excited to be presenting two papers at VLDB 2025 in London this week! 🇬🇧
August 31, 2025 at 9:21 PM
The Data Systems Lab is seeking a motivated PhD candidate to join our team and work on foundation models for data compression.
July 5, 2025 at 2:47 PM
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! 👋
June 22, 2025 at 10:52 AM
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.
May 5, 2025 at 1:29 PM
Fantastic news 🎖️

@mihailstoian.bsky.social will present DPconv at SIGMOD in Berlin this June.
DPconv just won a SIGMOD'25 Honorable Mention! 🥁

I was quite impressed, given this year's high-quality papers. Let's see who won the big prize.

My list of candidates in the thread below 🧵.

Paper: dl.acm.org/doi/10.1145/...
Slides: stoianmihail.github.io/assets/dpcon...
April 11, 2025 at 4:44 AM
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...
March 28, 2025 at 1:39 PM
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...
GitHub - utndatasystems/redbench: Redbench is a set of 30 analytical SQL workloads that can be used to benchmark workload-driven optimizations.
Redbench is a set of 30 analytical SQL workloads that can be used to benchmark workload-driven optimizations. - utndatasystems/redbench
github.com
March 25, 2025 at 9:42 PM
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! 😊
March 4, 2025 at 10:37 PM
We just announced the program. Hope to see you in Bamberg on Tuesday!

luthramanisha.github.io/ML4Sys-and-S...
February 26, 2025 at 4:44 PM
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.
February 5, 2025 at 3:00 PM
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.
January 29, 2025 at 4:36 PM
Reposted by Andreas Kipf
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
December 14, 2024 at 1:06 AM
Come join us in Bamberg in March. The submission process is very lightweight, you just need to complete a Google Form.
December 4, 2024 at 5:50 PM
Reposted by Andreas Kipf
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
December 2, 2024 at 5:00 AM