Venkatesh Emani

Senior Scientist

出版物

表示方法:

- PolySem: Efficient Polyglot Analytics on Semantic Data
  
  Xinyu Liu, Venkatesh Emani, Avrilia Floratou, Joyce Cahoon, Philip Seamark, Carlo Curino
  
  Poly'23: Polystore systems for heterogeneous data in multiple databases with privacy and security assurances | August 2023
  
  Publication
- PyFroid: Scaling Data Analysis on a Commodity Workstation
  
  Venkatesh Emani, Avrilia Floratou, Carlo Curino
  
  EDBT 2024 | August 2023
  
  Publication
- From Words to Code: Harnessing Data for Program Synthesis from Natural Language
  
  Anirudh Khatry, Joyce Cahoon, Jordan Henkel, Shaleen Deep, Venkatesh Emani, Avrilia Floratou, Sumit Gulwani, Vu Le, Mohammad Raza, Sherry Shi, Mukul Singh, Ashish Tiwari
  
  May 2023
  
  Publication
- Data Science Through the Looking Glass
  
  Fotis Psallidas, Yiwen Zhu, Bojan Karlaš, Jordan Henkel, Matteo Interlandi, Subru Krishnan, Brian Kroth, Venkatesh Emani, Wentao Wu, Ce Zhang, Markus Weimer, Avrilia Floratou, Carlo Curino, Konstantinos Karanasos
  
  SIGMOD Record | June 2022, 巻51(2): pp. 30-37
  
  Publication DOI
- Data Science Through the Looking Glass: Analysis of Millions of GitHub Notebooks and ML.NET Pipelines
  
  Fotis Psallidas, Yiwen Zhu, Bojan Karlaš, Jordan Henkel, Matteo Interlandi, Subru Krishnan, Brian Kroth, Venkatesh Emani, Wentao Wu, Ce Zhang, Markus Weimer, Avrilia Floratou, Carlo Curino, Konstantinos Karanasos
  
  SIGMOD Record | March 2022
  
  Publication
- Magpie: Python at Speed and Scale using Cloud Backends
  
  Alekh Jindal, Venkatesh Emani, Maureen Daum, Olga Poppe, Brandon Haynes, Anna Pavlenko, Ayushi Gupta, Karthik Ramachandra, Carlo Curino, Andreas C. Müller, Wentao Wu, Hiren Patel
  
  Conference on Innovative Data Systems Research (CIDR 2021) | February 2021
  
  Publication 動画動画
- Optimization of Data Access from Imperative Programs using Static Analysis
  
  Venkatesh Emani
  
  May 2019
  
  博士論文:IIT Bombay | May 2019
  
  ACM India Doctoral Dissertation Award 2020 (Honorable Mention), IIT Bombay Excellence in Ph.D. Research Award 2019
  
  Publication
- Cobra: A Framework for Cost Based Rewriting of Database Applications
  
  Venkatesh Emani, S. Sudarshan
  
  ICDE | April 2018
  
  Publication
- Test Data Generation for Database Applications
  
  Pooja Agrawal, Bikash Chandra, Venkatesh Emani, Neha Garg, S. Sudarshan
  
  ICDE (Demo) | April 2018
  
  Publication
- Froid: Optimization of Imperative Programs in a Relational Database
  
  Karthik Ramachandra, Kwanghyun Park, K. Venkatesh Emani, Alan Halverson, Cesar Galindo-Legaria, Conor Cunningham
  
  Proceedings of VLDB | December 2017, 巻11(4)
  
  Publication 動画プロジェクト
- DBridge: Translating Imperative Code to SQL
  
  Venkatesh Emani, Tejas Deshpande, Karthik Ramachandra, S. Sudarshan
  
  SIGMOD (Demo) | June 2017
  
  Publication
- Extracting Equivalent SQL from Imperative Code in Database Applications
  
  Venkatesh Emani, Karthik Ramachandra, Subhro Bhattacharya, S. Sudarshan
  
  SIGMOD | June 2016
  
  Publication

- From Words to Code: Harnessing Data for Program Synthesis from Natural Language
  
  Anirudh Khatry, Joyce Cahoon, Jordan Henkel, Shaleen Deep, Venkatesh Emani, Avrilia Floratou, Sumit Gulwani, Vu Le, Mohammad Raza, Sherry Shi, Mukul Singh, Ashish Tiwari
  
  May 2023
  
  Publication
- Data Science Through the Looking Glass
  
  Fotis Psallidas, Yiwen Zhu, Bojan Karlaš, Jordan Henkel, Matteo Interlandi, Subru Krishnan, Brian Kroth, Venkatesh Emani, Wentao Wu, Ce Zhang, Markus Weimer, Avrilia Floratou, Carlo Curino, Konstantinos Karanasos
  
  SIGMOD Record | June 2022, 巻51(2): pp. 30-37
  
  Publication DOI
- Data Science Through the Looking Glass: Analysis of Millions of GitHub Notebooks and ML.NET Pipelines
  
  Fotis Psallidas, Yiwen Zhu, Bojan Karlaš, Jordan Henkel, Matteo Interlandi, Subru Krishnan, Brian Kroth, Venkatesh Emani, Wentao Wu, Ce Zhang, Markus Weimer, Avrilia Floratou, Carlo Curino, Konstantinos Karanasos
  
  SIGMOD Record | March 2022
  
  Publication
- PolySem: Efficient Polyglot Analytics on Semantic Data
  
  Xinyu Liu, Venkatesh Emani, Avrilia Floratou, Joyce Cahoon, Philip Seamark, Carlo Curino
  
  Poly'23: Polystore systems for heterogeneous data in multiple databases with privacy and security assurances | August 2023
  
  Publication
- PyFroid: Scaling Data Analysis on a Commodity Workstation
  
  Venkatesh Emani, Avrilia Floratou, Carlo Curino
  
  EDBT 2024 | August 2023
  
  Publication
- From Words to Code: Harnessing Data for Program Synthesis from Natural Language
  
  Anirudh Khatry, Joyce Cahoon, Jordan Henkel, Shaleen Deep, Venkatesh Emani, Avrilia Floratou, Sumit Gulwani, Vu Le, Mohammad Raza, Sherry Shi, Mukul Singh, Ashish Tiwari
  
  May 2023
  
  Publication
- Data Science Through the Looking Glass
  
  Fotis Psallidas, Yiwen Zhu, Bojan Karlaš, Jordan Henkel, Matteo Interlandi, Subru Krishnan, Brian Kroth, Venkatesh Emani, Wentao Wu, Ce Zhang, Markus Weimer, Avrilia Floratou, Carlo Curino, Konstantinos Karanasos
  
  SIGMOD Record | June 2022, 巻51(2): pp. 30-37
  
  Publication DOI
- Magpie: Python at Speed and Scale using Cloud Backends
  
  Alekh Jindal, Venkatesh Emani, Maureen Daum, Olga Poppe, Brandon Haynes, Anna Pavlenko, Ayushi Gupta, Karthik Ramachandra, Carlo Curino, Andreas C. Müller, Wentao Wu, Hiren Patel
  
  Conference on Innovative Data Systems Research (CIDR 2021) | February 2021
  
  Publication 動画動画
- Optimization of Data Access from Imperative Programs using Static Analysis
  
  Venkatesh Emani
  
  May 2019
  
  博士論文:IIT Bombay | May 2019
  
  ACM India Doctoral Dissertation Award 2020 (Honorable Mention), IIT Bombay Excellence in Ph.D. Research Award 2019
  
  Publication
- Test Data Generation for Database Applications
  
  Pooja Agrawal, Bikash Chandra, Venkatesh Emani, Neha Garg, S. Sudarshan
  
  ICDE (Demo) | April 2018
  
  Publication
- Cobra: A Framework for Cost Based Rewriting of Database Applications
  
  Venkatesh Emani, S. Sudarshan
  
  ICDE | April 2018
  
  Publication
- DBridge: Translating Imperative Code to SQL
  
  Venkatesh Emani, Tejas Deshpande, Karthik Ramachandra, S. Sudarshan
  
  SIGMOD (Demo) | June 2017
  
  Publication
- Extracting Equivalent SQL from Imperative Code in Database Applications
  
  Venkatesh Emani, Karthik Ramachandra, Subhro Bhattacharya, S. Sudarshan
  
  SIGMOD | June 2016
  
  Publication
- PolySem: Efficient Polyglot Analytics on Semantic Data
  
  Xinyu Liu, Venkatesh Emani, Avrilia Floratou, Joyce Cahoon, Philip Seamark, Carlo Curino
  
  Poly'23: Polystore systems for heterogeneous data in multiple databases with privacy and security assurances | August 2023
  
  Publication
- PyFroid: Scaling Data Analysis on a Commodity Workstation
  
  Venkatesh Emani, Avrilia Floratou, Carlo Curino
  
  EDBT 2024 | August 2023
  
  Publication
- Data Science Through the Looking Glass
  
  Fotis Psallidas, Yiwen Zhu, Bojan Karlaš, Jordan Henkel, Matteo Interlandi, Subru Krishnan, Brian Kroth, Venkatesh Emani, Wentao Wu, Ce Zhang, Markus Weimer, Avrilia Floratou, Carlo Curino, Konstantinos Karanasos
  
  SIGMOD Record | June 2022, 巻51(2): pp. 30-37
  
  Publication DOI
- Data Science Through the Looking Glass: Analysis of Millions of GitHub Notebooks and ML.NET Pipelines
  
  Fotis Psallidas, Yiwen Zhu, Bojan Karlaš, Jordan Henkel, Matteo Interlandi, Subru Krishnan, Brian Kroth, Venkatesh Emani, Wentao Wu, Ce Zhang, Markus Weimer, Avrilia Floratou, Carlo Curino, Konstantinos Karanasos
  
  SIGMOD Record | March 2022
  
  Publication
- Magpie: Python at Speed and Scale using Cloud Backends
  
  Alekh Jindal, Venkatesh Emani, Maureen Daum, Olga Poppe, Brandon Haynes, Anna Pavlenko, Ayushi Gupta, Karthik Ramachandra, Carlo Curino, Andreas C. Müller, Wentao Wu, Hiren Patel
  
  Conference on Innovative Data Systems Research (CIDR 2021) | February 2021
  
  Publication 動画動画
- Optimization of Data Access from Imperative Programs using Static Analysis
  
  Venkatesh Emani
  
  May 2019
  
  博士論文:IIT Bombay | May 2019
  
  ACM India Doctoral Dissertation Award 2020 (Honorable Mention), IIT Bombay Excellence in Ph.D. Research Award 2019
  
  Publication
- Test Data Generation for Database Applications
  
  Pooja Agrawal, Bikash Chandra, Venkatesh Emani, Neha Garg, S. Sudarshan
  
  ICDE (Demo) | April 2018
  
  Publication
- Cobra: A Framework for Cost Based Rewriting of Database Applications
  
  Venkatesh Emani, S. Sudarshan
  
  ICDE | April 2018
  
  Publication
- Froid: Optimization of Imperative Programs in a Relational Database
  
  Karthik Ramachandra, Kwanghyun Park, K. Venkatesh Emani, Alan Halverson, Cesar Galindo-Legaria, Conor Cunningham
  
  Proceedings of VLDB | December 2017, 巻11(4)
  
  Publication 動画プロジェクト
- DBridge: Translating Imperative Code to SQL
  
  Venkatesh Emani, Tejas Deshpande, Karthik Ramachandra, S. Sudarshan
  
  SIGMOD (Demo) | June 2017
  
  Publication
- Extracting Equivalent SQL from Imperative Code in Database Applications
  
  Venkatesh Emani, Karthik Ramachandra, Subhro Bhattacharya, S. Sudarshan
  
  SIGMOD | June 2016
  
  Publication

- From Words to Code: Harnessing Data for Program Synthesis from Natural Language
  
  Anirudh Khatry, Joyce Cahoon, Jordan Henkel, Shaleen Deep, Venkatesh Emani, Avrilia Floratou, Sumit Gulwani, Vu Le, Mohammad Raza, Sherry Shi, Mukul Singh, Ashish Tiwari
  
  May 2023
  
  Publication
- PolySem: Efficient Polyglot Analytics on Semantic Data
  
  Xinyu Liu, Venkatesh Emani, Avrilia Floratou, Joyce Cahoon, Philip Seamark, Carlo Curino
  
  Poly'23: Polystore systems for heterogeneous data in multiple databases with privacy and security assurances | August 2023
  
  Publication
- PyFroid: Scaling Data Analysis on a Commodity Workstation
  
  Venkatesh Emani, Avrilia Floratou, Carlo Curino
  
  EDBT 2024 | August 2023
  
  Publication
- Magpie: Python at Speed and Scale using Cloud Backends
  
  Alekh Jindal, Venkatesh Emani, Maureen Daum, Olga Poppe, Brandon Haynes, Anna Pavlenko, Ayushi Gupta, Karthik Ramachandra, Carlo Curino, Andreas C. Müller, Wentao Wu, Hiren Patel
  
  Conference on Innovative Data Systems Research (CIDR 2021) | February 2021
  
  Publication 動画動画
- Test Data Generation for Database Applications
  
  Pooja Agrawal, Bikash Chandra, Venkatesh Emani, Neha Garg, S. Sudarshan
  
  ICDE (Demo) | April 2018
  
  Publication
- Cobra: A Framework for Cost Based Rewriting of Database Applications
  
  Venkatesh Emani, S. Sudarshan
  
  ICDE | April 2018
  
  Publication
- DBridge: Translating Imperative Code to SQL
  
  Venkatesh Emani, Tejas Deshpande, Karthik Ramachandra, S. Sudarshan
  
  SIGMOD (Demo) | June 2017
  
  Publication
- Extracting Equivalent SQL from Imperative Code in Database Applications
  
  Venkatesh Emani, Karthik Ramachandra, Subhro Bhattacharya, S. Sudarshan
  
  SIGMOD | June 2016
  
  Publication
- Data Science Through the Looking Glass
  
  Fotis Psallidas, Yiwen Zhu, Bojan Karlaš, Jordan Henkel, Matteo Interlandi, Subru Krishnan, Brian Kroth, Venkatesh Emani, Wentao Wu, Ce Zhang, Markus Weimer, Avrilia Floratou, Carlo Curino, Konstantinos Karanasos
  
  SIGMOD Record | June 2022, 巻51(2): pp. 30-37
  
  Publication DOI
- Data Science Through the Looking Glass: Analysis of Millions of GitHub Notebooks and ML.NET Pipelines
  
  Fotis Psallidas, Yiwen Zhu, Bojan Karlaš, Jordan Henkel, Matteo Interlandi, Subru Krishnan, Brian Kroth, Venkatesh Emani, Wentao Wu, Ce Zhang, Markus Weimer, Avrilia Floratou, Carlo Curino, Konstantinos Karanasos
  
  SIGMOD Record | March 2022
  
  Publication
- Froid: Optimization of Imperative Programs in a Relational Database
  
  Karthik Ramachandra, Kwanghyun Park, K. Venkatesh Emani, Alan Halverson, Cesar Galindo-Legaria, Conor Cunningham
  
  Proceedings of VLDB | December 2017, 巻11(4)
  
  Publication 動画プロジェクト
- Optimization of Data Access from Imperative Programs using Static Analysis
  
  Venkatesh Emani
  
  May 2019
  
  博士論文:IIT Bombay | May 2019
  
  ACM India Doctoral Dissertation Award 2020 (Honorable Mention), IIT Bombay Excellence in Ph.D. Research Award 2019
  
  Publication

Venkatesh Emani

出版物

PolySem: Efficient Polyglot Analytics on Semantic Data

PyFroid: Scaling Data Analysis on a Commodity Workstation

From Words to Code: Harnessing Data for Program Synthesis from Natural Language

Data Science Through the Looking Glass

Data Science Through the Looking Glass: Analysis of Millions of GitHub Notebooks and ML.NET Pipelines

Magpie: Python at Speed and Scale using Cloud Backends

Optimization of Data Access from Imperative Programs using Static Analysis

Cobra: A Framework for Cost Based Rewriting of Database Applications

Test Data Generation for Database Applications

Froid: Optimization of Imperative Programs in a Relational Database

DBridge: Translating Imperative Code to SQL

Extracting Equivalent SQL from Imperative Code in Database Applications

From Words to Code: Harnessing Data for Program Synthesis from Natural Language

Data Science Through the Looking Glass

Data Science Through the Looking Glass: Analysis of Millions of GitHub Notebooks and ML.NET Pipelines

PolySem: Efficient Polyglot Analytics on Semantic Data

PyFroid: Scaling Data Analysis on a Commodity Workstation

From Words to Code: Harnessing Data for Program Synthesis from Natural Language

Data Science Through the Looking Glass

Magpie: Python at Speed and Scale using Cloud Backends

Optimization of Data Access from Imperative Programs using Static Analysis

Test Data Generation for Database Applications

Cobra: A Framework for Cost Based Rewriting of Database Applications

DBridge: Translating Imperative Code to SQL

Extracting Equivalent SQL from Imperative Code in Database Applications

PolySem: Efficient Polyglot Analytics on Semantic Data

PyFroid: Scaling Data Analysis on a Commodity Workstation

Data Science Through the Looking Glass

Data Science Through the Looking Glass: Analysis of Millions of GitHub Notebooks and ML.NET Pipelines

Magpie: Python at Speed and Scale using Cloud Backends

Optimization of Data Access from Imperative Programs using Static Analysis

Test Data Generation for Database Applications

Cobra: A Framework for Cost Based Rewriting of Database Applications

Froid: Optimization of Imperative Programs in a Relational Database

DBridge: Translating Imperative Code to SQL

Extracting Equivalent SQL from Imperative Code in Database Applications

From Words to Code: Harnessing Data for Program Synthesis from Natural Language

PolySem: Efficient Polyglot Analytics on Semantic Data

PyFroid: Scaling Data Analysis on a Commodity Workstation

Magpie: Python at Speed and Scale using Cloud Backends

Test Data Generation for Database Applications

Cobra: A Framework for Cost Based Rewriting of Database Applications

DBridge: Translating Imperative Code to SQL

Extracting Equivalent SQL from Imperative Code in Database Applications

Data Science Through the Looking Glass

Data Science Through the Looking Glass: Analysis of Millions of GitHub Notebooks and ML.NET Pipelines

Froid: Optimization of Imperative Programs in a Relational Database

Optimization of Data Access from Imperative Programs using Static Analysis