Unveiling Challenges for LLMs in Enterprise Data Engineering
Summary: Identifies enterprise-specific obstacles for LLM-driven tabular data engineering—large tables, more complex tasks, and dependence on internal background knowledge. Systematic evaluation shows substantial accuracy degradation and practical limits of current LLMs in real-world enterprise settings. (summarized by gpt-5-mini on Mar 13 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Jan-Micha Bodensohn (German National Research Center for Information Technology; Technical University of Darmstadt)
- 2. Ulf Brackmann (German National Research Center for Information Technology; SAP)
- 3. Liane Vogel (Technical University of Darmstadt)
- 4. Anupam Sanghi (Indian Institute of Technology Hyderabad)
- 5. Carsten Binnig (German National Research Center for Information Technology; Technical University of Darmstadt)
BibTeX Citation
@article{bodensohn_vldb26,
title = {{Unveiling Challenges for LLMs in Enterprise Data Engineering}},
author = {Bodensohn, Jan-Micha and Brackmann, Ulf and Vogel, Liane and Sanghi, Anupam and Binnig, Carsten},
journal = {PVLDB},
series = {{VLDB} '26},
volume = {19},
number = {2},
pages = {196--209},
doi = {10.14778/3773749.3773758},
url = {https://doi.org/10.14778/3773749.3773758},
year = {2026}
}Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,659 | Mixtera: A Data Plane for Foundation Model Training | 2026 | SIGMOD | 4.9793485e-05 |
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 17 of 17 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 2,117 | NL2SQL is a solved problem... Not! | 2024 | CIDR |
| 2 | 8,986 | DataLoom: Simplifying Data Loading with LLMs | 2024 | VLDB |
| 3 | 174 | Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation | 2024 | VLDB |
| 4 | 11,161 | ScaleLLM: A Technique for Scalable LLM-augmented Data Systems | 2025 | SIGMOD |
| 5 | 501 | Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes | 2024 | VLDB |
| 6 | 10,527 | In-context Clustering-based Entity Resolution with Large Language Models: A Design Space Exploration | 2026 | SIGMOD |
| 7 | 3,695 | Revisiting Prompt Engineering via Declarative Crowdsourcing | 2024 | CIDR |
| 8 | 7,301 | Mind the Data Gap: Bridging LLMs to Enterprise Data Integration | 2025 | CIDR |
| 9 | 3,250 | How Large Language Models Will Disrupt Data Management | 2023 | VLDB |
| 10 | 5,149 | LLM for Data Management | 2024 | VLDB |