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: 4.1905499e-05
Overall Rank: 11,314 | 21.37%
DOI: -

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Rank	Cited Paper	Year	Venue	Pagerank
1,283	Towards Linear Algebra over Normalized Data	2017	VLDB	0.00012826013

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