Data Curation at Scale: The Data Tamer System
Summary: Introduces Data Tamer: an end-to-end, scalable data curation system that uses ML for attribute identification, schema/table grouping, transformations, and deduplication with human-in-the-loop visualization to assemble composites from sequences of sources. Evaluated on real enterprise workloads (up to tens of thousands of sources), showing ≈90% reduction in curation cost versus deployed production software. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Michael Stonebraker (Massachusetts Institute of Technology)
- 2. Daniel Bruckner (University of California Berkeley)
- 3. Ihab F. Ilyas (Qatar Computing Research Institute)
- 4. George Beskales (Qatar Computing Research Institute)
- 5. Mitch Cherniack (Brandeis University)
- 6. Stan Zdonik (Brown University)
- 7. Alexander Pagan (Massachusetts Institute of Technology)
- 8. Shan Xu (Verisk Analytics)
BibTeX Citation
@inproceedings{stonebraker_cidr13,
address = {Amsterdam, Netherlands},
series = {{CIDR} '13},
title = {{Data Curation at Scale: The Data Tamer System}},
booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
author = {Stonebraker, Michael and Bruckner, Daniel and Ilyas, Ihab F. and Beskales, George and Cherniack, Mitch and Zdonik, Stan and Pagan, Alexander and Xu, Shan},
year = {2013}
}Incoming Citations (Sorted by Pagerank)
Showing 38 of 38 citing papers.
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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 |
|---|---|---|---|---|
| 88 | WebTables: Exploring the Power of Tables on the Web | 2008 | VLDB | 0.00035500667 |
| 95 | Potter's Wheel: An Interactive Data Cleaning System | 2001 | VLDB | 0.00034319763 |
| 4,310 | Semi-Automatic Schema Integration in Clio | 2007 | VLDB | 6.656928e-05 |
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