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Small Materialized Aggregates: A Light Weight Index Structure for Data Warehousing

Summary: Small Materialized Aggregates (SMAs) are a light-weight, flexible index for data warehousing, precomputing many aggregates over small to medium buckets. Applied to TPC-D, SMAs deliver about 100x speedups on Query 1 and offer tunable strategies for efficient query processing. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
8512
Venue
VLDB
Year
1998
Pagerank
0.000254931
Overall Rank
368 | 97.45%
DOI
-

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Incoming Citations (Sorted by Pagerank)

Showing 14 of 64 citing papers.

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9,701 Towards Functional Decomposition of Storage Formats 2025 CIDR 4.3008468e-05
10,179 LiveBin: A Localized and Version-Aware Binned Scan Index 2026 SIGMOD 4.1945683e-05
10,277 Efficient Query Repair for Aggregate Constraints 2026 VLDB 4.1945683e-05
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10,404 Dynamic Pruning for Recursive Joins 2025 SIGMOD 4.1945683e-05
10,635 Saving Private Hash Join 2025 VLDB 4.1945683e-05
10,639 Cardinality Estimation for Having-Clauses 2025 VLDB 4.1945683e-05
11,212 SH2O: Efficient Data Access for Work-Sharing Databases 2023 SIGMOD 4.1945683e-05
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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