K. Venkatesh Emani

According to our database, K. Venkatesh Emani authored at least 12 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

PyFroid: Scaling Data Analysis on a Commodity Workstation.

K. Venkatesh Emani, Avrilia Floratou, Carlo Curino

Proceedings of the Proceedings 27th International Conference on Extending Database Technology, 2024

NL2SQL is a solved problem... Not!

Avrilia Floratou, Fotis Psallidas, Fuheng Zhao, Shaleen Deep, Gunther Hagleither, Wangda Tan, Joyce Cahoon, Rana Alotaibi, Jordan Henkel, Abhik Singla, Alex Van Grootel, Brandon Chow, Kai Deng, Katherine Lin, Marcos Campos, K. Venkatesh Emani, Vivek Pandit, Victor Shnayder, Wenjing Wang, Carlo Curino

Proceedings of the 14th Conference on Innovative Data Systems Research, 2024

2023

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

Anirudh Khatry, Joyce Cahoon, Jordan Henkel, Shaleen Deep, K. Venkatesh Emani, Avrilia Floratou, Sumit Gulwani, Vu Le, Mohammad Raza, Sherry Shi, Mukul Singh, Ashish Tiwari

CoRR, 2023

PolySem: Efficient Polyglot Analytics on Semantic Data.

Xinyu Liu, K. Venkatesh Emani, Avrilia Floratou, Joyce Cahoon, Philip Seamark, Carlo Curino

Proceedings of the Joint Proceedings of Workshops at the 49th International Conference on Very Large Data Bases (VLDB 2023), Vancouver, Canada, August 28, 2023

2022

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

Fotis Psallidas, Yiwen Zhu, Bojan Karlas, Jordan Henkel, Matteo Interlandi, Subru Krishnan, Brian Kroth, K. Venkatesh Emani, Wentao Wu, Ce Zhang, Markus Weimer, Avrilia Floratou, Carlo Curino, Konstantinos Karanasos

SIGMOD Rec., 2022

2021

Magpie: Python at Speed and Scale using Cloud Backends.

Alekh Jindal, K. Venkatesh Emani, Maureen Daum, Olga Poppe, Brandon Haynes, Anna Pavlenko, Ayushi Gupta, Karthik Ramachandra, Carlo Curino, Andreas Müller, Wentao Wu, Hiren Patel

Proceedings of the 11th Conference on Innovative Data Systems Research, 2021

2018

Cobra: A Framework for Cost-Based Rewriting of Database Applications.

K. Venkatesh Emani, S. Sudarshan

Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Test Data Generation for Database Applications.

Pooja Agrawal, Bikash Chandra, K. Venkatesh Emani, Neha Garg, S. Sudarshan

Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

2017

Froid: Optimization of Imperative Programs in a Relational Database.

Karthik Ramachandra, Kwanghyun Park, K. Venkatesh Emani, Alan Halverson, César A. Galindo-Legaria, Conor Cunningham

Proc. VLDB Endow., 2017

Optimization of Imperative Programs in a Relational Database.

Karthik Ramachandra, Kwanghyun Park, K. Venkatesh Emani, Alan Halverson, César A. Galindo-Legaria, Conor Cunningham

CoRR, 2017

DBridge: Translating Imperative Code to SQL.

K. Venkatesh Emani, Tejas Deshpande, Karthik Ramachandra, S. Sudarshan

Proceedings of the 2017 ACM International Conference on Management of Data, 2017

2016

Extracting Equivalent SQL from Imperative Code in Database Applications.

K. Venkatesh Emani, Karthik Ramachandra, Subhro Bhattacharya, S. Sudarshan

Proceedings of the 2016 International Conference on Management of Data, 2016