Curio: A Novel Solution for Efficient Storage and Indexing in Data Warehouses
Summary: Curio combines a data repository and OLAP server with positional indexing, avoiding separate indexes for fast ad hoc queries. It targets warehouse workloads with lower storage and maintenance overhead, and is evaluated against commercial systems, especially Oracle. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Anindya Datta (Georgia Institute of Technology)
- 2. Krithi Ramamritham (Indian Institute of Technology Mumbai)
- 3. Helen Thomas (Georgia Institute of Technology)
BibTeX Citation
@article{datta_vldb99,
title = {{Curio: A Novel Solution for Efficient Storage and Indexing in Data Warehouses}},
author = {Datta, Anindya and Ramamritham, Krithi and Thomas, Helen},
journal = {PVLDB},
series = {{VLDB} '99},
pages = {730},
year = {1999}
}
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Outgoing Citations (Sorted by Pagerank)
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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 | 0.00071822821 |
| 104 | Improved Query Performance with Variant Indexes | 1997 | SIGMOD | 0.00033932213 |
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