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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
h956e6d39c706cf72
Venue
VLDB
Year
1998
Pagerank
0.00024446892
Overall Rank
216 | 98.56%
DOI
-

Incoming Non-self Citations Over Time

Authors

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}
}

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10,019 Fingerprints for Compressed Columnar Data Search 2019 SIGMOD 5.0823195e-05
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11,062 Demonstrating Indexing for Near-Sorted Data 2026 VLDB 4.9605343e-05
11,183 Optimizing Block Skipping for High-Dimensional Data with Learned Adaptive Curve 2025 SIGMOD 4.9605343e-05
11,195 Dynamic Pruning for Recursive Joins 2025 SIGMOD 4.9605343e-05
11,353 Cardinality Estimation for Having-Clauses 2025 VLDB 4.9605343e-05
11,777 SH2O: Efficient Data Access for Work-Sharing Databases 2023 SIGMOD 4.9605343e-05
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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.

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