Alpine: Efficient In situ Data Exploration in the Presence of Updates
Summary: Alpine demonstrates adaptive in situ data exploration with updates via an online partitioning and indexing tuner for fast raw-data queries. Coupled to an in situ executor, the tuner builds and adapts structures over raw files as updates arrive. (summarized by gpt-5-nano on Feb 09 2026)
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| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,891 | Slalom: Coasting Through Raw Data via Adaptive Partitioning and Indexing | 2017 | VLDB | 6.659442e-05 |
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