PikePlace: Generating Intelligence for Marketplace Datasets
Summary: PikePlace: a learning-based system that automatically discovers, deploys, and optimizes data models for cloud data marketplace datasets, addressing the manual and slow modeling bottleneck. Evaluated on Snowflake Marketplace and TPC-H datasets with interactive demos. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Shi Qiao (SmartApps)
- 2. Alekh Jindal (SmartApps)
BibTeX Citation
@article{qiao_vldb23,
title = {{PikePlace: Generating Intelligence for Marketplace Datasets}},
author = {Qiao, Shi and Jindal, Alekh},
journal = {PVLDB},
series = {{VLDB} '23},
volume = {16},
number = {12},
pages = {4106--4109},
doi = {10.14778/3611540.3611632},
url = {https://doi.org/10.14778/3611540.3611632},
year = {2023}
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Outgoing Citations (Sorted by Pagerank)
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,765 | Selecting Subexpressions to Materialize at Datacenter Scale | 2018 | VLDB | 9.8079546e-05 |
| 3,605 | Computation Reuse in Analytics Job Service at Microsoft | 2018 | SIGMOD | 7.2640711e-05 |
| 6,121 | The Cosmos Big Data Platform at Microsoft: Over a Decade of Progress and a Decade to Look Forward | 2021 | VLDB | 5.9688569e-05 |
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