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Making Data Clouds Smarter at Keebo: Automated Warehouse Optimization using Data Learning

Summary: Fully automated, real-time warehouse optimization for cloud data warehouses via data-driven learning; lowers total cost while meeting performance goals. Learns from user/app interactions to autonomously tune compute, memory, scaling, suspend/resume, and self-correct. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6565
Venue
SIGMOD
Year
2023
Pagerank
5.3335632e-05
Overall Rank
9,008 | 38.20%
DOI
10.1145/3555041.3589681

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{mozafari_sigmod23,
        title = {{Making Data Clouds Smarter at Keebo: Automated Warehouse Optimization using Data Learning}},
        author = {Mozafari, Barzan and Burcuta, Radu Alexandru and Cabrera, Alan and Constantin, Andrei and Francis, Derek and Grömling, David and Jindal, Alekh and Konkolowicz, Maciej and Spac, Valentin Marian and Park, Yongjoo and Carranza, Russell Razo and Richardson, Nicholas and Roy, Abhishek and Srivastava, Aayushi and Tarte, Isha and Westphal, Brian and Zhang, Chi},
        series = {{SIGMOD} '23},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3555041.3589681},
        url = {https://dl.acm.org/doi/10.1145/3555041.3589681},
        year = {2023}
}

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