Opportunistic Physical Design for Big Data Analytics
Summary: Treats materialized intermediates from exploratory MapReduce jobs as an opportunistic physical design. Proposes a semantic UDF model to reuse UDF-containing views and a minimum-cost rewrite algorithm (with provable guarantees); Hive prototype shows dramatic speedups. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
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Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,921 | Selecting Subexpressions to Materialize at Datacenter Scale | 2018 | VLDB | 0.00010085899 |
| 3,565 | MISO: Souping Up Big Data Query Processing with a Multistore System | 2014 | SIGMOD | 6.9627613e-05 |
| 5,578 | CliffGuard: A Principled Framework for Finding Robust Database Designs | 2015 | SIGMOD | 5.4231783e-05 |
| 7,557 | Invisible Glue: Scalable Self-Tuning Multi-Stores | 2015 | CIDR | 4.7070194e-05 |
| 8,435 | Not Black-Box Anymore! Enabling Analytics-Aware Optimizations in Teradata Vantage | 2021 | VLDB | 4.5075971e-05 |
| 9,032 | Making Data Clouds Smarter at Keebo: Automated Warehouse Optimization using Data Learning | 2023 | SIGMOD | 4.3998185e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 18 of 18 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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