Avrilia Floratou

53 papers A* 4A 3B 1Journal 31Unranked 12
YearRankTypeTitle / Venue / Authors
2025 — conf
First Workshop Connecting Academia and Industry on Modern Integrated Database and AI Systems (MIDAS).
SIGMOD Conference Companion
Avrilia Floratou, Jignesh M. Patel, Subru Krishnan
2025 J jnl
Horizon: Robust Checks for SQL Migration Using LLMs.
Proc. VLDB Endow.
K. Venkatesh Emani, Wenjing Wang, Zi Ye, Jia He, Neel Ball, Kumaraswamy Boora, Carlo Curino, Avrilia Floratou, Manan Goenka, Paridhi Gupta, Vivek Gupta, Katherine Lin, Nick Litombe, Jared Meade, Suryakant Mutnal, Raghu Ramakrishnan, Sudhir Raparla, Dhruv Relwani, Shyam Sai, Vaibhave Sekar, Roneet Shaw, Harmeet Singh, Prasanna Sridharan, Mark Taylor, Sunidhi Tiwari, Yiwen Zhu
2024 J jnl
Diversity, Equity and Inclusion Activities in Database Conferences: A 2023 Report.
SIGMOD Rec.
Sihem Amer-Yahia, Divyakant Agrawal, Yael Amsterdamer, Sourav S. Bhowmick, Renata Borovica-Gajic, Jesús Camacho-Rodríguez, Jinli Cao, Barbara Catania, Panos K. Chrysanthis, Carlo Curino, Amr El Abbadi, Avrilia Floratou, Juliana Freire, Stratos Idreos, Vana Kalogeraki, Sujaya Maiyya, Alexandra Meliou, Madhulika Mohanty, Fatma Özcan, Liat Peterfreund, Soror Sahri, Sana Sellami, Roee Shraga, Utku Sirin, Wang-Chiew Tan, Bhavani Thuraisingham, Yuanyuan Tian, Genoveva Vargas-Solar, Meihui Zhang, Wenjie Zhang
2024 J jnl
LST-Bench: Benchmarking Log-Structured Tables in the Cloud.
Proc. ACM Manag. Data
Jesús Camacho-Rodríguez, Ashvin Agrawal, Anja Gruenheid, Ashit Gosalia, Cristian Petculescu, Josep Aguilar-Saborit, Avrilia Floratou, Carlo Curino, Raghu Ramakrishnan
2024 A conf
NL2SQL is a solved problem... Not!
CIDR
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
2024 B conf
PyFroid: Scaling Data Analysis on a Commodity Workstation.
EDBT
K. Venkatesh Emani, Avrilia Floratou, Carlo Curino
2024 J jnl
Rapidash: Efficient Detection of Constraint Violations.
Proc. VLDB Endow.
Zifan Liu, Shaleen Deep, Anna Fariha, Fotis Psallidas, Ashish Tiwari, Avrilia Floratou
2024 J jnl
ReAcTable: Enhancing ReAct for Table Question Answering.
Proc. VLDB Endow.
Yunjia Zhang, Jordan Henkel, Avrilia Floratou, Joyce Cahoon, Shaleen Deep, Jignesh M. Patel
2024 J jnl
Sphinteract: Resolving Ambiguities in NL2SQL Through User Interaction.
Proc. VLDB Endow.
Fuheng Zhao, Shaleen Deep, Fotis Psallidas, Avrilia Floratou, Divy Agrawal, Amr El Abbadi
2023 — conf
Demonstration of Geyser: Provenance Extraction and Applications over Data Science Scripts.
SIGMOD Conference Companion
Fotis Psallidas, Megan Eileen Leszczynski, Mohammad Hossein Namaki, Avrilia Floratou, Ashvin Agrawal, Konstantinos Karanasos, Subru Krishnan, Pavle Subotic, Markus Weimer, Yinghui Wu, Yiwen Zhu
2023 J jnl
Diversity, Equity and Inclusion Activities in Database Conferences: A 2022 Report.
SIGMOD Rec.
Sihem Amer-Yahia, Divyakant Agrawal, Yael Amsterdamer, Sourav S. Bhowmick, Angela Bonifati, Renata Borovica-Gajic, Jesús Camacho-Rodríguez, Barbara Catania, Panos K. Chrysanthis, Carlo Curino, Jérôme Darmont, Gillian Dobbie, Amr El Abbadi, Avrilia Floratou, Juliana Freire, Alekh Jindal, Vana Kalogeraki, Sujaya Maiyya, Alexandra Meliou, Madhulika Mohanty, Behrooz Omidvar-Tehrani, Fatma Özcan, Liat Peterfreund, Wenny Rahayu, Shazia Sadiq, Sana Sellami, Utku Sirin, Wang-Chiew Tan, Bhavani Thuraisingham, Yuanyuan Tian, Pinar Tözün, Genoveva Vargas-Solar, Neeraja J. Yadwadkar, Victor Zakhary, Meihui Zhang
2023 J jnl
Exploiting Structure in Regular Expression Queries.
Proc. ACM Manag. Data
Ling Zhang, Shaleen Deep, Avrilia Floratou, Anja Gruenheid, Jignesh M. Patel, Yiwen Zhu
2023 J jnl
From Words to Code: Harnessing Data for Program Synthesis from Natural Language.
CoRR
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
2023 J jnl
LST-Bench: Benchmarking Log-Structured Tables in the Cloud.
CoRR
Jesús Camacho-Rodríguez, Ashvin Agrawal, Anja Gruenheid, Ashit Gosalia, Cristian Petculescu, Josep Aguilar-Saborit, Avrilia Floratou, Carlo Curino, Raghu Ramakrishnan
2023 J jnl
OneProvenance: Efficient Extraction of Dynamic Coarse-Grained Provenance From Database Query Event Logs.
Proc. VLDB Endow.
Fotis Psallidas, Ashvin Agrawal, Chandru Sugunan, Khaled Ibrahim, Konstantinos Karanasos, Jesús Camacho-Rodríguez, Avrilia Floratou, Carlo Curino, Raghu Ramakrishnan
2023 J jnl
PACMMOD V1 N2 Editorial.
Proc. ACM Manag. Data
Divyakant Agrawal, Sihem Amer-Yahia, K. Selçuk Candan, Avrilia Floratou, Hakan Hacigümüs
2023 — conf
PolySem: Efficient Polyglot Analytics on Semantic Data.
VLDB Workshops
Xinyu Liu, K. Venkatesh Emani, Avrilia Floratou, Joyce Cahoon, Philip Seamark, Carlo Curino
2023 J jnl
Rapidash: Efficient Constraint Discovery via Rapid Verification.
CoRR
Zifan Liu, Shaleen Deep, Anna Fariha, Fotis Psallidas, Ashish Tiwari, Avrilia Floratou
2023 J jnl
ReAcTable: Enhancing ReAct for Table Question Answering.
CoRR
Yunjia Zhang, Jordan Henkel, Avrilia Floratou, Joyce Cahoon, Shaleen Deep, Jignesh M. Patel
2023 A* conf
Schema Matching using Pre-Trained Language Models.
ICDE
Yunjia Zhang, Avrilia Floratou, Joyce Cahoon, Subru Krishnan, Andreas C. Müller, Dalitso Banda, Fotis Psallidas, Jignesh M. Patel
2023 J jnl
Will LLMs reshape, supercharge, or kill data science?
Proc. VLDB Endow.
Alon Y. Halevy, Yejin Choi, Avrilia Floratou, Michael J. Franklin, Natasha F. Noy, Haixun Wang
2022 J jnl
Data Science Through the Looking Glass: Analysis of Millions of GitHub Notebooks and ML.NET Pipelines.
SIGMOD Rec.
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
2022 J jnl
Diversity and Inclusion Activities in Database Conferences: A 2021 Report.
SIGMOD Rec.
Sihem Amer-Yahia, Yael Amsterdamer, Sourav S. Bhowmick, Angela Bonifati, Philippe Bonnet, Renata Borovica-Gajic, Barbara Catania, Tania Cerquitelli, Silvia Chiusano, Panos K. Chrysanthis, Carlo Curino, Jérôme Darmont, Amr El Abbadi, Avrilia Floratou, Juliana Freire, Alekh Jindal, Vana Kalogeraki, Georgia Koutrika, Arun Kumar, Sujaya Maiyya, Alexandra Meliou, Madhulika Mohanty, Felix Naumann, Nele Sina Noack, Fatma Özcan, Liat Peterfreund, Wenny Rahayu, Wang-Chiew Tan, Yuanyuan Tian, Pinar Tözün, Genoveva Vargas-Solar, Neeraja J. Yadwadkar, Meihui Zhang
2022 J jnl
OneProvenance: Efficient Extraction of Dynamic Coarse-Grained Provenance from Database Logs.
CoRR
Fotis Psallidas, Ashvin Agrawal, Chandru Sugunan, Khaled Ibrahim, Konstantinos Karanasos, Jesús Camacho-Rodríguez, Avrilia Floratou, Carlo Curino, Raghu Ramakrishnan
2020 A conf
Cloudy with high chance of DBMS: a 10-year prediction for Enterprise-Grade ML.
CIDR
Ashvin Agrawal, Rony Chatterjee, Carlo Curino, Avrilia Floratou, Neha Godwal, Matteo Interlandi, Alekh Jindal, Konstantinos Karanasos, Subru Krishnan, Brian Kroth, Jyoti Leeka, Kwanghyun Park, Hiren Patel, Olga Poppe, Fotis Psallidas, Raghu Ramakrishnan, Abhishek Roy, Karla Saur, Rathijit Sen, Markus Weimer, Travis Wright, Yiwen Zhu
2020 — conf
Spur: Mitigating Slow Instances in Large-Scale Streaming Pipelines.
SIGMOD Conference
Ke Wang, Avrilia Floratou, Ashvin Agrawal, Daniel Musgrave
2020 A* conf
Vamsa: Automated Provenance Tracking in Data Science Scripts.
KDD
Mohammad Hossein Namaki, Avrilia Floratou, Fotis Psallidas, Subru Krishnan, Ashvin Agrawal, Yinghui Wu, Yiwen Zhu, Markus Weimer
2020 J jnl
Vamsa: Tracking Provenance in Data Science Scripts.
CoRR
Mohammad Hossein Namaki, Avrilia Floratou, Fotis Psallidas, Subru Krishnan, Ashvin Agrawal, Yinghui Wu
2019 J jnl
Cloudy with high chance of DBMS: A 10-year prediction for Enterprise-Grade ML.
CoRR
Ashvin Agrawal, Rony Chatterjee, Carlo Curino, Avrilia Floratou, Neha Godwal, Matteo Interlandi, Alekh Jindal, Konstantinos Karanasos, Subru Krishnan, Brian Kroth, Jyoti Leeka, Kwanghyun Park, Hiren Patel, Olga Poppe, Fotis Psallidas, Raghu Ramakrishnan, Abhishek Roy, Karla Saur, Rathijit Sen, Markus Weimer, Travis Wright, Yiwen Zhu
2019 — ch.
Columnar Storage Formats.
Encyclopedia of Big Data Technologies
Avrilia Floratou
2019 J jnl
Data Science through the looking glass and what we found there.
CoRR
Fotis Psallidas, Yiwen Zhu, Bojan Karlas, Matteo Interlandi, Avrilia Floratou, Konstantinos Karanasos, Wentao Wu, Ce Zhang, Subru Krishnan, Carlo Curino, Markus Weimer
2019 — conf
General-Purpose vs. Specialized Data Analytics Systems: A Game of ML & SQL Thrones.
IEEE BigData
Evdokia Kassela, Nikodimos Provatas, Ioannis Konstantinou, Avrilia Floratou, Nectarios Koziris
2018 J jnl
Dhalion in Action: Automatic Management of Streaming Applications.
Proc. VLDB Endow.
Ashvin Agrawal, Avrilia Floratou
2018 — ch.
Distributed File Systems.
Encyclopedia of Database Systems (2nd ed.)
Umar Farooq Minhas, Avrilia Floratou
2018 — conf
Netco: Cache and I/O Management for Analytics over Disaggregated Stores.
SoCC
Virajith Jalaparti, Chris Douglas, Mainak Ghosh, Ashvin Agrawal, Avrilia Floratou, Srikanth Kandula, Ishai Menache, Joseph (Seffi) Naor, Sriram Rao
2017 J jnl
Dhalion: Self-Regulating Stream Processing in Heron.
Proc. VLDB Endow.
Avrilia Floratou, Ashvin Agrawal, Bill Graham, Sriram Rao, Karthik Ramasamy
2017 — conf
No data left behind: real-time insights from a complex data ecosystem.
SoCC
Manos Karpathiotakis, Avrilia Floratou, Fatma Özcan, Anastasia Ailamaki
2017 — conf
Self-Regulating Streaming Systems: Challenges and Opportunities.
BIRTE
Avrilia Floratou, Ashvin Agrawal
2017 A* conf
Twitter Heron: Towards Extensible Streaming Engines.
ICDE
Maosong Fu, Ashvin Agrawal, Avrilia Floratou, Bill Graham, Andrew Jorgensen, Mark Li, Neng Lu, Karthik Ramasamy, Sriram Rao, Cong Wang
2016 J jnl
ATHENA: An Ontology-Driven System for Natural Language Querying over Relational Data Stores.
Proc. VLDB Endow.
Diptikalyan Saha, Avrilia Floratou, Karthik Sankaranarayanan, Umar Farooq Minhas, Ashish R. Mittal, Fatma Özcan
2016 — conf
Adaptive Caching in Big SQL using the HDFS Cache.
SoCC
Avrilia Floratou, Nimrod Megiddo, Navneet Potti, Fatma Özcan, Uday Kale, Jan Schmitz-Hermes
2015 — conf
Replica Placement in Multi-tenant Database Environments.
BigData Congress
Avrilia Floratou, Jignesh M. Patel
2015 A conf
Towards Systematic Data Center Design.
CIDR
Avrilia Floratou
2014 — conf
Benchmarking SQL-on-Hadoop Systems: TPC or Not TPC?
WBDB
Avrilia Floratou, Fatma Özcan, Berni Schiefer
2014 J jnl
SQL-on-Hadoop: Full Circle Back to Shared-Nothing Database Architectures.
Proc. VLDB Endow.
Avrilia Floratou, Umar Farooq Minhas, Fatma Özcan
2014 J jnl
Towards Building Wind Tunnels for Data Center Design.
Proc. VLDB Endow.
Avrilia Floratou, Frank Bertsch, Jignesh M. Patel, Georgios Laskaris
2012 J jnl
Can the Elephants Handle the NoSQL Onslaught?
CoRR
Avrilia Floratou, Nikhil Teletia, David J. DeWitt, Jignesh M. Patel, Donghui Zhang
2012 J jnl
Can the Elephants Handle the NoSQL Onslaught?
Proc. VLDB Endow.
Avrilia Floratou, Nikhil Teletia, David J. DeWitt, Jignesh M. Patel, Donghui Zhang
2011 J jnl
Column-Oriented Storage Techniques for MapReduce
CoRR
Avrilia Floratou, Jignesh M. Patel, Eugene J. Shekita, Sandeep Tata
2011 J jnl
Column-Oriented Storage Techniques for MapReduce.
Proc. VLDB Endow.
Avrilia Floratou, Jignesh M. Patel, Eugene J. Shekita, Sandeep Tata
2011 J jnl
Efficient and Accurate Discovery of Patterns in Sequence Data Sets.
IEEE Trans. Knowl. Data Eng.
Avrilia Floratou, Sandeep Tata, Jignesh M. Patel
2011 — conf
When Free Is Not Really Free: What Does It Cost to Run a Database Workload in the Cloud?
TPCTC
Avrilia Floratou, Jignesh M. Patel, Willis Lang, Alan Halverson
2010 A* conf
Efficient and accurate discovery of patterns in sequence datasets.
ICDE
Avrilia Floratou, Sandeep Tata, Jignesh M. Patel