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Invisible Glue: Scalable Self-Tuning Multi-Stores

Summary: Estocada fragments heterogeneous datasets, deploying overlapping fragments across diverse stores while exposing datasets in native formats. A self-tuner uses workload-driven view-based rewriting and view-selection (respecting nesting, keys, constraints) to place fragments for correct, high-performance execution. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
280
Venue
CIDR
Year
2015
Pagerank
4.7112819e-05
Overall Rank
7,557 | 47.43%
DOI
-

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