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)
Incoming Non-self Citations Over Time
Authors
- 1. Guido Moerkotte (University of Mannheim)
BibTeX Citation
@article{moerkotte_vldb98,
title = {{Small Materialized Aggregates: A Light Weight Index Structure for Data Warehousing}},
author = {Moerkotte, Guido},
journal = {PVLDB},
series = {{VLDB} '98},
pages = {476--487},
year = {1998}
}Incoming Citations (Sorted by Pagerank)
Showing 50 of 65 citing papers.
Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2 | R-Trees: A Dynamic Index Structure For Spatial Searching | 1984 | SIGMOD | 0.0020210012 |
| 11 | Implementing Data Cubes Efficiently | 1996 | SIGMOD | 0.00071822821 |
| 95 | Of Nests and Trees: A Unified Approach to Processing Queries That Contain Nested Subqueries, Aggregates, and Quantifiers | 1987 | VLDB | 0.00034607909 |
| 104 | Improved Query Performance with Variant Indexes | 1997 | SIGMOD | 0.00033932213 |
| 654 | Storage Estimation for Multidimensional Aggregates in the Presence of Hierarchies | 1996 | VLDB | 0.0001527187 |
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