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Using Deep Learning Models to Replace Large Materialized Views in Relational Database

Summary: Train deep models to map source table cells (by attributes/row keys) to positions in a view and serve inference instead of materializing large join outputs. Recasts view queries as GPU-accelerated inference, trading storage for model size/accuracy. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
391
Venue
CIDR
Year
2021
Pagerank
-
Overall Rank
13,432 | 7.85%
DOI
-

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BibTeX Citation

@inproceedings{zou_cidr21,
        address = {Amsterdam, Netherlands},
        series = {{CIDR} '21},
        title = {{Using Deep Learning Models to Replace Large Materialized Views in Relational Database}},
        booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
        author = {Zou, Jia},
        year = {2021}
}

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