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Shrinking the Warehouse Update Window

Summary: Proposes an algorithm to pick an optimal update strategy for a single warehouse view, extending it to jointly choose strategies for updating multiple views. Demonstrates update-window reduction for batch maintenance, with TPC-D-based warehouse workloads. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3115
Venue
SIGMOD
Year
1999
Pagerank
5.5078694e-05
Overall Rank
5,430 | 62.23%
DOI
-

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank Citing Paper Year Venue Pagerank
1,461 Hypothetical Queries in an OLAP Environment 2000 VLDB 0.0001188499
5,049 Run-Time Operator State Spilling for Memory Intensive Long-Running Queries 2006 SIGMOD 5.7372423e-05
6,620 Performance Issues in Incremental Warehouse Maintenance 2000 VLDB 4.990907e-05
12,073 Lazy ETL in Action: ETL Technology Dates Scientific Data 2013 VLDB 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 11 of 11 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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