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Maintenance of Cube Automatic Summary Tables

Summary: Cube Automatic Summary Tables (ASTs) as DBMS-managed, synchronized materialized views for multi-dimensional aggregations; introduces incremental cube-aware maintenance techniques. Implemented in IBM DB2 UDB, demonstrating efficient upkeep of cube ASTs to accelerate aggregate queries. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3212
Venue
SIGMOD
Year
2000
Pagerank
4.5705919e-05
Overall Rank
8,167 | 43.19%
DOI
-

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
2,022 Lazy Maintenance of Materialized Views 2007 VLDB 9.754634e-05
3,224 Practical Applications of Triggers and Constraints: Successes and Lingering Issues 2000 VLDB 7.3496543e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 3 of 3 cited papers.

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

Rank Cited Paper Year Venue Pagerank
11 Implementing Data Cubes Efficiently 1996 SIGMOD 0.0011708144
962 Maintenance of Data Cubes and Summary Tables in a Warehouse 1997 SIGMOD 0.00014986226
1,059 Answering Complex SQL Queries Using Automatic Summary Tables 2000 SIGMOD 0.00014382575
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