Learning Optimizer

Établi : March 1, 2017

Publications

Afficher par:

- Steering Query Optimizers: A Practical Take on Big Data Workloads
  
  Parimarjan Negi, Matteo Interlandi, Ryan Marcus, Mohammad Alizadeh, Tim Kraska, Marc Friedman, Alekh Jindal
  
  2021 International Conference on Management of Data | June 2021
  
  Honorable mention for the Industry Track
  
  DOI PDF Publication Publication
- Microlearner: A fine-grained Learning Optimizer for Big Data Workloads at Microsoft
  
  Alekh Jindal, Shi Qiao, Rathijit Sen, Hiren Patel
  
  2021 International Conference on Data Engineering | April 2021
  
  DOI Publication Publication
- Cost Models for Big Data Query Processing: Learning, Retrofitting, and Our Findings
  
  Tarique Siddiqui, Alekh Jindal, Shi Qiao, Hiren Patel, Wangchao le
  
  SIGMOD 2020: International Conference on Management of Data | February 2020
  
  Publication Projet
- Towards a learning optimizer for shared clouds
  
  Chenggang Wu, Alekh Jindal, Saeed Amizadeh, Hiren Patel, Wangchao Le, Shi Qiao, Sriram Rao
  
  Very Large Data Bases | October 2018
  
  DOI PDF Publication Projet

- Steering Query Optimizers: A Practical Take on Big Data Workloads
  
  Parimarjan Negi, Matteo Interlandi, Ryan Marcus, Mohammad Alizadeh, Tim Kraska, Marc Friedman, Alekh Jindal
  
  2021 International Conference on Management of Data | June 2021
  
  Honorable mention for the Industry Track
  
  DOI PDF Publication Publication
- Microlearner: A fine-grained Learning Optimizer for Big Data Workloads at Microsoft
  
  Alekh Jindal, Shi Qiao, Rathijit Sen, Hiren Patel
  
  2021 International Conference on Data Engineering | April 2021
  
  DOI Publication Publication
- Cost Models for Big Data Query Processing: Learning, Retrofitting, and Our Findings
  
  Tarique Siddiqui, Alekh Jindal, Shi Qiao, Hiren Patel, Wangchao le
  
  SIGMOD 2020: International Conference on Management of Data | February 2020
  
  Publication Projet
- Towards a learning optimizer for shared clouds
  
  Chenggang Wu, Alekh Jindal, Saeed Amizadeh, Hiren Patel, Wangchao Le, Shi Qiao, Sriram Rao
  
  Very Large Data Bases | October 2018
  
  DOI PDF Publication Projet
- Towards a learning optimizer for shared clouds
  
  Chenggang Wu, Alekh Jindal, Saeed Amizadeh, Hiren Patel, Wangchao Le, Shi Qiao, Sriram Rao
  
  Very Large Data Bases | October 2018
  
  DOI PDF Publication Projet
- Cost Models for Big Data Query Processing: Learning, Retrofitting, and Our Findings
  
  Tarique Siddiqui, Alekh Jindal, Shi Qiao, Hiren Patel, Wangchao le
  
  SIGMOD 2020: International Conference on Management of Data | February 2020
  
  Publication Projet

- Steering Query Optimizers: A Practical Take on Big Data Workloads
  
  Parimarjan Negi, Matteo Interlandi, Ryan Marcus, Mohammad Alizadeh, Tim Kraska, Marc Friedman, Alekh Jindal
  
  2021 International Conference on Management of Data | June 2021
  
  Honorable mention for the Industry Track
  
  DOI PDF Publication Publication
- Microlearner: A fine-grained Learning Optimizer for Big Data Workloads at Microsoft
  
  Alekh Jindal, Shi Qiao, Rathijit Sen, Hiren Patel
  
  2021 International Conference on Data Engineering | April 2021
  
  DOI Publication Publication
- Cost Models for Big Data Query Processing: Learning, Retrofitting, and Our Findings
  
  Tarique Siddiqui, Alekh Jindal, Shi Qiao, Hiren Patel, Wangchao le
  
  SIGMOD 2020: International Conference on Management of Data | February 2020
  
  Publication Projet
- Towards a learning optimizer for shared clouds
  
  Chenggang Wu, Alekh Jindal, Saeed Amizadeh, Hiren Patel, Wangchao Le, Shi Qiao, Sriram Rao
  
  Very Large Data Bases | October 2018
  
  DOI PDF Publication Projet