TPC-DS, Taking Decision Support Benchmarking to the Next Level
Summary: TPC-DS to advance decision-support benchmarking with a next-generation workload. It models retail DSS using snowflake schemas and shared dimensions, with data skew, a large query set, and data loading/maintenance—delivering realism beyond prior benchmarks. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Meikel Poess (Oracle)
- 2. Bryan Smith (IBM)
- 3. Lubor Kollar (Microsoft)
- 4. Paul Larson (Microsoft)
BibTeX Citation
@inproceedings{poess_sigmod02,
title = {{TPC-DS, Taking Decision Support Benchmarking to the Next Level}},
author = {Poess, Meikel and Smith, Bryan and Kollar, Lubor and Larson, Paul},
series = {{SIGMOD} '02},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/564691.564759},
url = {https://dl.acm.org/doi/10.1145/564691.564759},
year = {2002}
}
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