| ATHENA: an ontology-driven system for natural language querying over relational data stores D Saha, A Floratou, K Sankaranarayanan, UF Minhas, AR Mittal, F Özcan Proceedings of the VLDB Endowment 9 (12), 1209-1220, 2016 | 266 | 2016 |
| Dhalion: self-regulating stream processing in heron A Floratou, A Agrawal, B Graham, S Rao, K Ramasamy Proceedings of the VLDB Endowment 10 (12), 1825-1836, 2017 | 228 | 2017 |
| SQL-on-Hadoop:Full Circle Back to Shared-Nothing Database Architectures A Floratou, UF Minhas, F Ozcan Proceedings of the VLDB Endowment 7 (12), 2014 | 201 | 2014 |
| Column-oriented storage techniques for MapReduce A Floratou, J Patel, E Shekita, S Tata arXiv preprint arXiv:1105.4252, 2011 | 198 | 2011 |
| Can the elephants handle the nosql onslaught? A Floratou, N Teletia, DJ DeWitt, JM Patel, D Zhang arXiv preprint arXiv:1208.4166, 2012 | 158 | 2012 |
| ReAcTable: enhancing ReAct for table question answering Y Zhang, J Henkel, A Floratou, J Cahoon, S Deep, JM Patel Proceedings of the VLDB Endowment 17 (8), 1981-1994, 2024 | 102 | 2024 |
| Efficient and Accurate Discovery of Patterns in Sequence Datasets A Floratou, S Tata, JM Patel IEEE 26th International Conference on Data Engineering (ICDE), 461 - 472, 2010 | 88 | 2010 |
| Vamsa: Automated provenance tracking in data science scripts MH Namaki, A Floratou, F Psallidas, S Krishnan, A Agrawal, Y Wu, Y Zhu, ... Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020 | 87 | 2020 |
| Schema matching using pre-trained language models Y Zhang, A Floratou, J Cahoon, S Krishnan, AC Müller, D Banda, ... 2023 IEEE 39th International Conference on Data Engineering (ICDE), 1558-1571, 2023 | 50 | 2023 |
| 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 |
| Adaptive caching in big sql using the hdfs cache A Floratou, N Megiddo, N Potti, F Özcan, U Kale, J Schmitz-Hermes Proceedings of the Seventh ACM Symposium on Cloud Computing, 321-333, 2016 | 45 | 2016 |
| Cloudy with high chance of DBMS: A 10-year prediction for Enterprise-Grade ML A Agrawal, R Chatterjee, C Curino, A Floratou, N Gowdal, M Interlandi, ... arXiv preprint arXiv:1909.00084, 2019 | 44 | 2019 |
| When free is not really free: What does it cost to run a database workload in the cloud? A Floratou, JM Patel, W Lang, A Halverson Technology Conference on Performance Evaluation and Benchmarking, 163-179, 2011 | 40 | 2011 |
| Data science through the looking glass and what we found there F Psallidas, Y Zhu, B Karlas, M Interlandi, A Floratou, K Karanasos, W Wu, ... arXiv preprint arXiv:1912.09536, 2019 | 39 | 2019 |
| Twitter heron: Towards extensible streaming engines M Fu, A Agrawal, A Floratou, B Graham, A Jorgensen, R Li, N Lu, ... 2017 IEEE 33rd international conference on data engineering (ICDE), 1165-1172, 2017 | 37 | 2017 |
| Shaleen Deep A Floratou, F Psallidas, F Zhao Gunther Hagleither, Wangda Tan, Joyce Cahoon, Rana Alotaibi, Jordan Henkel …, 2024 | 31 | 2024 |
| Nl2sql is a solved problem... not! A Floratou, F Psallidas, F Zhao, S Deep, G Hagleither, W Tan, J Cahoon, ... CIDR, 2024 | 25 | 2024 |
| Netco: Cache and i/o management for analytics over disaggregated stores V Jalaparti, C Douglas, M Ghosh, A Agrawal, A Floratou, S Kandula, ... Proceedings of the ACM Symposium on Cloud Computing, 186-198, 2018 | 24 | 2018 |
| Vamsa: Tracking provenance in data science scripts MH Namaki, A Floratou, F Psallidas, S Krishnan, A Agrawal, Y Wu arXiv preprint arXiv:2001.01861, 2020 | 16 | 2020 |
| Benchmarking SQL-on-Hadoop Systems: TPC or not TPC? A Floratou, F Ozcan, B Schiefer In Proceedings of WBDB, 2014 | 16 | 2014 |
Ashvin AgrawalPrincipal Research SDE, GSL, MicrosoftVerified email at microsoft.com
