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Dimensions Based Data Clustering and Zone Maps

Summary: Introduces dimension-based clustering and zone maps for fact tables, organizing data by joined dimension attributes rather than only local columns. Enables fine-grained pruning of fact-table zones for star/snowflake queries, beyond partition pruning. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
11633
Venue
VLDB
Year
2017
Pagerank
6.75682e-05
Overall Rank
4,329 | 70.31%
DOI
10.14778/3137765.3137769

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{ziauddin_vldb17,
        title = {{Dimensions Based Data Clustering and Zone Maps}},
        author = {Ziauddin, Mohamed and Witkowski, Andrew and Kim, You Jung and Potapov, Dmitry and Lahorani, Janaki and Krishna, Murali},
        journal = {PVLDB},
        series = {{VLDB} '17},
        volume = {10},
        number = {12},
        doi = {10.14778/3137765.3137769},
        url = {https://doi.org/10.14778/3137765.3137769},
        year = {2017}
}

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