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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)

Paper ID
6694
Venue
SIGMOD
Year
2023
Pagerank
4.2536148e-05
Overall Rank
9,907 | 31.15%
DOI
10.1145/3589770

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Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
7,684 TDSQL: Tencent Distributed Database System 2024 VLDB 4.6754482e-05
10,777 Unlocking the Power of CI/CD for Data Pipelines in Distributed Data Warehouses 2025 VLDB 4.1905499e-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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