Towards Auto-Generated Data Systems
Summary: Proposes automating DBMS construction and optimization via auto-generated data systems, centering automation on three mandatory aspects: user specification, code generation, and result validation. Demonstrates feasibility with a video-processing case study and sketches research directions. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Alvin Cheung (University of California Berkeley)
- 2. Maaz Bin Safeer Ahmad (Adobe)
- 3. Brandon Haynes (Microsoft)
- 4. Chanwut Kittivorawong (University of California Berkeley)
- 5. Shadaj Laddad (University of California Berkeley)
- 6. Xiaoxuan Liu (University of California Berkeley)
- 7. Chenglong Wang (Microsoft)
- 8. Cong Yan (Microsoft)
BibTeX Citation
@article{cheung_vldb23,
title = {{Towards Auto-Generated Data Systems}},
author = {Cheung, Alvin and Ahmad, Maaz Bin Safeer and Haynes, Brandon and Kittivorawong, Chanwut and Laddad, Shadaj and Liu, Xiaoxuan and Wang, Chenglong and Yan, Cong},
journal = {PVLDB},
series = {{VLDB} '23},
volume = {16},
number = {12},
pages = {4116--4129},
doi = {10.14778/3611540.3611635},
url = {https://doi.org/10.14778/3611540.3611635},
year = {2023}
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