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Discovering Related Data At Scale

Summary: ML-driven model to detect related columns across data streams from a month of lake queries. Scales to tens of millions of column-pairs and builds a data-relationship graph over 4.5 PB in ~80 minutes, with ~23% gains over state-of-the-art on labeled data. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12515
Venue
VLDB
Year
2021
Pagerank
6.2591104e-05
Overall Rank
5,344 | 63.34%
DOI
10.14778/3457390.3457403

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{bharadwaj_vldb21,
        title = {{Discovering Related Data At Scale}},
        author = {Bharadwaj, Sagar and Gupta, Praveen and Bhagwan, Ranjita and Guha, Saikat},
        journal = {PVLDB},
        series = {{VLDB} '21},
        volume = {14},
        number = {8},
        pages = {1392--1400},
        doi = {10.14778/3457390.3457403},
        url = {https://doi.org/10.14778/3457390.3457403},
        year = {2021}
}

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