Data Canopy: Accelerating Exploratory Statistical Analysis
Summary: Data Canopy provides an in-memory library of basic aggregates to reuse statistics across overlapping data parts, cutting recomputation in exploratory analysis. It decomposes stats into reusable aggregates, with storage/maintenance and hardware-aware tuning, yielding ~10x speedup after 100 queries vs. state-of-the-art. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Abdul Wasay (Harvard University)
- 2. Xinding Wei (Harvard University)
- 3. Niv Dayan (Harvard University)
- 4. Stratos Idreos (Harvard University)
BibTeX Citation
@inproceedings{wasay_sigmod17,
title = {{Data Canopy: Accelerating Exploratory Statistical Analysis}},
author = {Wasay, Abdul and Wei, Xinding and Dayan, Niv and Idreos, Stratos},
series = {{SIGMOD} '17},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3035918.3064051},
url = {https://dl.acm.org/doi/10.1145/3035918.3064051},
year = {2017}
}Incoming Citations (Sorted by Pagerank)
Showing 9 of 9 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,829 | DBEst: Revisiting Approximate Query Processing Engines with Machine Learning Models | 2019 | SIGMOD | 9.5510333e-05 |
| 2,663 | A Layered Aggregate Engine for Analytics Workloads | 2019 | SIGMOD | 8.1581558e-05 |
| 2,787 | EVA: A Symbolic Approach to Accelerating Exploratory Video Analytics with Materialized Views | 2022 | SIGMOD | 8.0158999e-05 |
| 2,798 | Moment-Based Quantile Sketches for Efficient High Cardinality Aggregation Queries | 2018 | VLDB | 7.9933329e-05 |
| 5,551 | Aero: Adaptive Query Processing of ML Queries | 2025 | SIGMOD | 6.0872198e-05 |
| 7,105 | Apollo: A Dataset Profiling and Operator Modeling System | 2019 | SIGMOD | 5.601767e-05 |
| 8,480 | Deep Learning: Systems and Responsibility | 2021 | SIGMOD | 5.333141e-05 |
| 9,383 | RawVis: A System for Efficient In-situ Visual Analytics | 2021 | SIGMOD | 5.1868213e-05 |
| 11,979 | Exploring Ratings in Subjective Databases | 2021 | SIGMOD | 4.9793485e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 41 of 41 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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