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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)

Paper ID
5377
Venue
SIGMOD
Year
2017
Pagerank
4.1945683e-05
Overall Rank
11,784 | 18.03%
DOI
10.1145/3035918.3058743

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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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