A Demonstration of QueryArtisan: Real-Time Data Lake Analysis via Dynamically Generated Data Manipulation Code
Summary: QueryArtisan uses LLMs to compile natural-language queries into just-in-time, dataset-specific data-manipulation code plus heterogeneous operators to process raw data-lake modalities. Includes cost-based optimization and dynamic multi-agent instantiation for efficient in‑situ analytics. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Wenhao Liu (Zhejiang University)
- 2. Xiu Tang (Zhejiang University)
- 3. Sai Wu (Zhejiang University)
- 4. Chang Yao (Zhejiang University)
- 5. Gongsheng Yuan (Zhejiang University)
- 6. Gang Chen (Zhejiang University)
BibTeX Citation
@article{liu_vldb25,
title = {{A Demonstration of QueryArtisan: Real-Time Data Lake Analysis via Dynamically Generated Data Manipulation Code}},
author = {Liu, Wenhao and Tang, Xiu and Wu, Sai and Yao, Chang and Yuan, Gongsheng and Chen, Gang},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {12},
pages = {5263--5266},
doi = {10.14778/3750601.3750647},
url = {https://doi.org/10.14778/3750601.3750647},
year = {2025}
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 749 | Data Lake Management: Challenges and Opportunities | 2019 | VLDB | 0.00014379989 |
| 1,521 | On Multi-Column Foreign Key Discovery | 2010 | VLDB | 0.00010506299 |
| 6,355 | When the Web is your Data Lake: Creating a Search Engine for Datasets on the Web | 2020 | SIGMOD | 5.9026499e-05 |
| 10,109 | QueryArtisan: Generating Data Manipulation Codes for Ad-hoc Analysis in Data Lakes | 2025 | VLDB | 5.1347137e-05 |
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