Dwarf: Shrinking the PetaCube
Summary: Dwarf compresses data cubes by coalescing prefix/suffix redundancies into a self-contained structure, without fact-table access. It auto-discovers redundancies in one pass, shrinking a 25D cube to 2.3GB (1:400k) with 100% precision and faster creation. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yannis Sismanis (University of Maryland)
- 2. Antonios Deligiannakis (University of Maryland)
- 3. Nick Roussopoulos (University of Maryland)
- 4. Yannis Kotidis (AT&T)
BibTeX Citation
@inproceedings{sismanis_sigmod02,
title = {{Dwarf: Shrinking the PetaCube}},
author = {Sismanis, Yannis and Deligiannakis, Antonios and Roussopoulos, Nick and Kotidis, Yannis},
series = {{SIGMOD} '02},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/564691.564745},
url = {https://dl.acm.org/doi/10.1145/564691.564745},
year = {2002}
}
Incoming Citations (Sorted by Pagerank)
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