Automation of Data Prep, ML, and Data Science: New Cure or Snake Oil?
Summary: Panel critiques automated data prep/ML tools, asking if industry hype masks snake oil or real gains. Emphasizes lack of benchmarks and calls for rigorous evaluation plus academia–industry collaboration to advance data-prep research in DB/data-management. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Arun Kumar (University of California San Diego)
BibTeX Citation
@inproceedings{kumar_sigmod21,
title = {{Automation of Data Prep, ML, and Data Science: New Cure or Snake Oil?}},
author = {Kumar, Arun},
series = {{SIGMOD} '21},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3448016.3457537},
url = {https://dl.acm.org/doi/10.1145/3448016.3457537},
year = {2021}
}Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,803 | Pollock: A Data Loading Benchmark | 2023 | VLDB | 5.5418222e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 106 | The MADlib Analytics Library or MAD Skills, the SQL | 2012 | VLDB | 0.00033539462 |
| 112 | HoloClean: Holistic Data Repairs with Probabilistic Inference | 2017 | VLDB | 0.00032801121 |
| 5,051 | Towards Benchmarking Feature Type Inference for AutoML Platforms | 2021 | SIGMOD | 6.385354e-05 |
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