Steering Query Optimizers: A Practical Take on Big Data Workloads
Name
3448016.3457568.pdf
Description
Published version
Size
1.35 MB
Format
Adobe PDF
Checksum (MD5)
069c21e50ba6433a4022488af0f78719
Author(s)
Negi, Parimarjan
Interlandi, Matteo
Marcus, Ryan
Alizadeh, Mohammad
Kraska, Tim
Friedman, Marc
Jindal, Alekh
Date Issued
2021
Journal
Proceedings of the 2021 International Conference on Management of Data
Publisher
Association for Computing Machinery (ACM)
Citation
Negi, Parimarjan, Interlandi, Matteo, Marcus, Ryan, Alizadeh, Mohammad, Kraska, Tim et al. 2021. "Steering Query Optimizers: A Practical Take on Big Data Workloads." Proceedings of the 2021 International Conference on Management of Data.
Version
Final published version
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Creative Commons Attribution 4.0 International License
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1145/3448016.3457568
