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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
12327
Venue
VLDB
Year
2021
Pagerank
5.3245122e-05
Overall Rank
5,794 | 59.70%
DOI
10.14778/3457390.3457403

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