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Amalur: Next-generation Data Integration in Data Lakes

Summary: Amalur rethinks data integration for ML-centric data lakes by unifying classic DI with factorized linear-algebra operators, pushing LA computation toward data sources. Enables ML-friendly extraction/prep with reduced ETL/export overhead and efficient factorized execution across joins. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
438
Venue
CIDR
Year
2022
Pagerank
4.1945683e-05
Overall Rank
11,312 | 21.31%
DOI
-

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Rank Cited Paper Year Venue Pagerank
1,279 Towards Linear Algebra over Normalized Data 2017 VLDB 0.00012868394
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