PACMMOD V1 N2 Editorial
Summary: Editorial for PACMMOD v1 n2, outlining the issue's 76 research-track and invited industrial-track papers. Highlights include Presto analytics, scalable time-series, streaming graphs, GraphQL standards, vector search, cloud-native HTAP, data sharing, and verifiable DBMSs. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Divyakant Agrawal (University of California Santa Barbara)
- 2. Sihem Amer-Yahia (CNRS; University of Grenoble)
- 3. K. Selçuk Candan (Arizona State University)
- 4. Avrilia Floratou (Microsoft)
- 5. Hakan Hacıgümüş (Meta)
BibTeX Citation
@inproceedings{agrawal_sigmod23,
title = {{PACMMOD V1 N2 Editorial}},
author = {Agrawal, Divyakant and Amer-Yahia, Sihem and Candan, K. Selçuk and Floratou, Avrilia and Hacıgümüş, Hakan},
series = {{SIGMOD} '23},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3589257},
url = {https://dl.acm.org/doi/10.1145/3589257},
year = {2023}
}
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