| Froid: Optimization of imperative programs in a relational database K Ramachandra, K Park, KV Emani, A Halverson, C Galindo-Legaria, ... Proceedings of the VLDB Endowment 11 (4), 432-444, 2017 | 90 | 2017 |
| Data science through the looking glass: Analysis of millions of github notebooks and ml. net pipelines F Psallidas, Y Zhu, B Karlas, J Henkel, M Interlandi, S Krishnan, B Kroth, ... ACM SIGMOD Record 51 (2), 30-37, 2022 | 49 | 2022 |
| Extracting equivalent sql from imperative code in database applications KV Emani, K Ramachandra, S Bhattacharya, S Sudarshan Proceedings of the 2016 International Conference on Management of Data, 1781 …, 2016 | 47 | 2016 |
| Magpie: Python at Speed and Scale using Cloud Backends. A Jindal, KV Emani, M Daum, O Poppe, B Haynes, A Pavlenko, A Gupta, ... CIDR, 2021 | 31 | 2021 |
| Dbridge: Translating imperative code to sql KV Emani, T Deshpande, K Ramachandra, S Sudarshan Proceedings of the 2017 ACM International Conference on Management of Data …, 2017 | 23 | 2017 |
| Method for optimization of imperative code executing inside a relational database engine KS Ramachandra, K Park, AD Halverson, CJ Cunningham, ... US Patent 10,515,075, 2019 | 18 | 2019 |
| Cobra: A framework for cost-based rewriting of database applications KV Emani, S Sudarshan 2018 IEEE 34th International Conference on Data Engineering (ICDE), 689-700, 2018 | 8 | 2018 |
| From Words to Code: Harnessing Data for Program Synthesis from Natural Language A Khatry, J Cahoon, J Henkel, S Deep, V Emani, A Floratou, S Gulwani, ... arXiv preprint arXiv:2305.01598, 2023 | 3 | 2023 |
| Test data generation for database applications P Agrawal, B Chandra, KV Emani, N Garg, S Sudarshan 2018 IEEE 34th International Conference on Data Engineering (ICDE), 1621-1624, 2018 | 3 | 2018 |
| The need for tabular representation learning: An industry perspective J Cahoon, A Savelieva, AC Mueller, A Floratou, C Curino, H Patel, ... NeurIPS 2022 First Table Representation Workshop, 2022 | 2 | 2022 |
| Extracting Equivalent SQL from Imperative Code in Database Applications (ACM SIGMOD). 16 KV Emani, K Ramachandra, S Bhattacharya, S Sudarshan Google Scholar Google Scholar Digital Library Digital Library, 2016 | 2 | 2016 |
| System and method for scalable data processing operations KV Emani, A Floratou, CA Curino, KS Ramachandra, A Jindal US Patent App. 18/486,825, 2024 | | 2024 |
| PyFroid: Scaling Data Analysis on a Commodity Workstation V Emani, A Floratou, C Curino | | 2024 |
| System and method for scalable data processing operations KV Emani, A Floratou, CA Curino, KS Ramachandra, A Jindal US Patent 11,829,359, 2023 | | 2023 |
| PolySem: Efficient Polyglot Analytics on Semantic Data X Liu, V Emani, A Floratou, J Cahoon, P Seamark, C Curino | | 2023 |
| Cobra: A Framework for Cost Based Rewriting of Database Applications K Venkatesh Emani, S Sudarshan arXiv e-prints, arXiv: 1801.04891, 2018 | | 2018 |
| DBridge: Translating Imperative Code to SQL (In ACM SIGMOD’17) KV Emani, T Deshpande, K Ramachandra, S Sudarshan Google Scholar Google Scholar Digital Library Digital Library, 2017 | | 2017 |
| Optimization of data access from imperative programs using static analysis KV Emani Mumbai, 0 | | |
Karthik RamachandraMicrosoft Azure Data (SQL) R&D IndiaVerified email at microsoft.com
