Multi-Dimensional Clustering: A New Data Layout Scheme in DB2
Summary: Introduces multi-dimensional clustering (MDC) in DB2 UDB v8, a physical layout clustering records by orthogonal dimension attributes for multi-dimensional access. Shows efficient maintenance and query processing with OLAP/warehousing gains and low overhead, validated on star-schema workloads. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Sriram Padmanabhan (IBM)
- 2. Bishwaranjan Bhattacharjee (IBM)
- 3. Tim Malkemus (IBM)
- 4. Leslie Cranston (IBM)
- 5. Matthew Huras (IBM)
BibTeX Citation
@inproceedings{padmanabhan_sigmod03,
title = {{Multi-Dimensional Clustering: A New Data Layout Scheme in DB2}},
author = {Padmanabhan, Sriram and Bhattacharjee, Bishwaranjan and Malkemus, Tim and Cranston, Leslie and Huras, Matthew},
series = {{SIGMOD} '03},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/872757.872835},
url = {https://dl.acm.org/doi/10.1145/872757.872835},
year = {2003}
}
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