Examples are All You Need: Iterative Data Discovery by Example in Data Lakes
Summary: DICE: iterative, example-driven discovery over schema-poor heterogeneous data lakes using only a few exemplar records—no query language or schema knowledge required. User-in-the-loop refinement resolves intent ambiguity and yields interactive, approximate results. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. El Kindi Rezig (Massachusetts Institute of Technology)
- 2. Anshul Bhandari (National Institute of Technology Hamirpur)
- 3. Anna Fariha (Microsoft)
- 4. Benjamin Price (Massachusetts Institute of Technology)
- 5. Allan Vanterpool (United States Air Force)
- 6. Andrew Bowne (United States Air Force)
- 7. Lindsey McEvoy (United States Air Force)
- 8. Vijay Gadepally (Massachusetts Institute of Technology)
BibTeX Citation
@inproceedings{rezig_cidr22,
address = {Amsterdam, Netherlands},
series = {{CIDR} '22},
title = {{Examples are All You Need: Iterative Data Discovery by Example in Data Lakes}},
booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
author = {Rezig, El Kindi and Bhandari, Anshul and Fariha, Anna and Price, Benjamin and Vanterpool, Allan and Bowne, Andrew and McEvoy, Lindsey and Gadepally, Vijay},
year = {2022}
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,093 | DICE: Data Discovery by Example | 2021 | VLDB | 5.7056625e-05 |
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