Keep Your Distributed Data Warehouse Consistent at a Minimal Cost
Summary: Delivers eventual consistency in distributed data warehouses by pruning downstream updates via dependency graphs and post-state data. Frames cost-freshness as a dynamic programming problem and reports a 25% drop in update requests in YouTube's warehouse, enabling heterogeneous deployments. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Zhichen Xu (Google)
- 2. Ying Gao (Google)
- 3. Andrew Davidson (Google)
BibTeX Citation
@inproceedings{xu_sigmod23,
title = {{Keep Your Distributed Data Warehouse Consistent at a Minimal Cost}},
author = {Xu, Zhichen and Gao, Ying and Davidson, Andrew},
series = {{SIGMOD} '23},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3589770},
url = {https://dl.acm.org/doi/10.1145/3589770},
year = {2023}
}
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,829 | TDSQL: Tencent Distributed Database System | 2024 | VLDB | 5.4438901e-05 |
| 11,373 | Unlocking the Power of CI/CD for Data Pipelines in Distributed Data Warehouses | 2025 | VLDB | 4.9793485e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 15 of 15 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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