Qd-tree: Learning Data Layouts for Big Data Analytics
- DOI
- 10.1145/3318464.3389770
- Published
- 2020-05-31
- Container
- Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data
- Publisher
- ACM
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1145/3318464.3389770,
title = {Qd-tree: Learning Data Layouts for Big Data Analytics},
author = {Zongheng Yang and Badrish Chandramouli and Chi Wang and Johannes Gehrke and Yinan Li and Umar Farooq Minhas and Per-Åke Larson and Donald Kossmann and Rajeev Acharya},
year = {2020},
journal = {Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data},
doi = {10.1145/3318464.3389770},
url = {https://doi.org/10.1145/3318464.3389770}
}RIS
TY - JOUR TI - Qd-tree: Learning Data Layouts for Big Data Analytics AU - Zongheng Yang AU - Badrish Chandramouli AU - Chi Wang AU - Johannes Gehrke AU - Yinan Li AU - Umar Farooq Minhas AU - Per-Åke Larson AU - Donald Kossmann AU - Rajeev Acharya PY - 2020 JO - Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data DO - 10.1145/3318464.3389770 UR - https://doi.org/10.1145/3318464.3389770 ER -
APA
Yang, Z., Chandramouli, B., Wang, C., Gehrke, J., Li, Y., Minhas, U. F., Larson, P., Kossmann, D., & Acharya, R. (2020). Qd-tree: Learning Data Layouts for Big Data Analytics. Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data. https://doi.org/10.1145/3318464.3389770
Source records
- crossref · retrieved 2026-11-07T21:49:23.111Z