Avrilia Floratou

According to our database, Avrilia Floratou authored at least 45 papers between 2010 and 2024.

Collaborative distances:

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

2024

Diversity, Equity and Inclusion Activities in Database Conferences: A 2023 Report.

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

SIGMOD Rec., June, 2024

ReAcTable: Enhancing ReAct for Table Question Answering.

Yunjia Zhang, Jordan Henkel, Avrilia Floratou, Joyce Cahoon, Shaleen Deep, Jignesh M. Patel

Proc. VLDB Endow., April, 2024

Rapidash: Efficient Detection of Constraint Violations.

Zifan Liu, Shaleen Deep, Anna Fariha, Fotis Psallidas, Ashish Tiwari, Avrilia Floratou

Proc. VLDB Endow., April, 2024

LST-Bench: Benchmarking Log-Structured Tables in the Cloud.

Jesús Camacho-Rodríguez, Ashvin Agrawal, Anja Gruenheid, Ashit Gosalia, Cristian Petculescu, Josep Aguilar-Saborit, Avrilia Floratou, Carlo Curino, Raghu Ramakrishnan

Proc. ACM Manag. Data, February, 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

Diversity, Equity and Inclusion Activities in Database Conferences: A 2022 Report.

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

SIGMOD Rec., June, 2023

OneProvenance: Efficient Extraction of Dynamic Coarse-Grained Provenance From Database Query Event Logs.

Fotis Psallidas, Ashvin Agrawal, Chandru Sugunan, Khaled Ibrahim, Konstantinos Karanasos, Jesús Camacho-Rodríguez, Avrilia Floratou, Carlo Curino, Raghu Ramakrishnan

Proc. VLDB Endow., 2023

Will LLMs reshape, supercharge, or kill data science?

Alon Y. Halevy, Yejin Choi, Avrilia Floratou, Michael J. Franklin, Natasha F. Noy, Haixun Wang

Proc. VLDB Endow., 2023

Exploiting Structure in Regular Expression Queries.

Ling Zhang, Shaleen Deep, Avrilia Floratou, Anja Gruenheid, Jignesh M. Patel, Yiwen Zhu

Proc. ACM Manag. Data, 2023

PACMMOD V1 N2 Editorial.

Divyakant Agrawal, Sihem Amer-Yahia, K. Selçuk Candan, Avrilia Floratou, Hakan Hacigümüs

Proc. ACM Manag. Data, 2023

Rapidash: Efficient Constraint Discovery via Rapid Verification.

Zifan Liu, Shaleen Deep, Anna Fariha, Fotis Psallidas, Ashish Tiwari, Avrilia Floratou

CoRR, 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

Demonstration of Geyser: Provenance Extraction and Applications over Data Science Scripts.

Fotis Psallidas, Megan Eileen Leszczynski, Mohammad Hossein Namaki, Avrilia Floratou, Ashvin Agrawal, Konstantinos Karanasos, Subru Krishnan, Pavle Subotic, Markus Weimer, Yinghui Wu, Yiwen Zhu

Proceedings of the Companion of the 2023 International Conference on Management of Data, 2023

Schema Matching using Pre-Trained Language Models.

Yunjia Zhang, Avrilia Floratou, Joyce Cahoon, Subru Krishnan, Andreas C. Müller, Dalitso Banda, Fotis Psallidas, Jignesh M. Patel

Proceedings of the 39th IEEE International Conference on Data Engineering, 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

Diversity and Inclusion Activities in Database Conferences: A 2021 Report.

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

SIGMOD Rec., 2022

OneProvenance: Efficient Extraction of Dynamic Coarse-Grained Provenance from Database Logs.

Fotis Psallidas, Ashvin Agrawal, Chandru Sugunan, Khaled Ibrahim, Konstantinos Karanasos, Jesús Camacho-Rodríguez, Avrilia Floratou, Carlo Curino, Raghu Ramakrishnan

CoRR, 2022

2020

Vamsa: Tracking Provenance in Data Science Scripts.

Mohammad Hossein Namaki, Avrilia Floratou, Fotis Psallidas, Subru Krishnan, Ashvin Agrawal, Yinghui Wu

CoRR, 2020

Spur: Mitigating Slow Instances in Large-Scale Streaming Pipelines.

Ke Wang, Avrilia Floratou, Ashvin Agrawal, Daniel Musgrave

Proceedings of the 2020 International Conference on Management of Data, 2020

Vamsa: Automated Provenance Tracking in Data Science Scripts.

Mohammad Hossein Namaki, Avrilia Floratou, Fotis Psallidas, Subru Krishnan, Ashvin Agrawal, Yinghui Wu, Yiwen Zhu, Markus Weimer

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Cloudy with high chance of DBMS: a 10-year prediction for Enterprise-Grade ML.

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

Proceedings of the 10th Conference on Innovative Data Systems Research, 2020

2019

Columnar Storage Formats.

Avrilia Floratou

Proceedings of the Encyclopedia of Big Data Technologies., 2019

Data Science through the looking glass and what we found there.

Fotis Psallidas, Yiwen Zhu, Bojan Karlas, Matteo Interlandi, Avrilia Floratou, Konstantinos Karanasos, Wentao Wu, Ce Zhang, Subru Krishnan, Carlo Curino, Markus Weimer

CoRR, 2019

General-Purpose vs. Specialized Data Analytics Systems: A Game of ML & SQL Thrones.

Evdokia Kassela, Nikodimos Provatas, Ioannis Konstantinou, Avrilia Floratou, Nectarios Koziris

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Distributed File Systems.

Umar Farooq Minhas, Avrilia Floratou

Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Dhalion in Action: Automatic Management of Streaming Applications.

Ashvin Agrawal, Avrilia Floratou

Proc. VLDB Endow., 2018

Netco: Cache and I/O Management for Analytics over Disaggregated Stores.

Virajith Jalaparti, Chris Douglas, Mainak Ghosh, Ashvin Agrawal, Avrilia Floratou, Srikanth Kandula, Ishai Menache, Joseph (Seffi) Naor, Sriram Rao

Proceedings of the ACM Symposium on Cloud Computing, 2018

2017

Dhalion: Self-Regulating Stream Processing in Heron.

Avrilia Floratou, Ashvin Agrawal, Bill Graham, Sriram Rao, Karthik Ramasamy

Proc. VLDB Endow., 2017

Twitter Heron: Towards Extensible Streaming Engines.

Maosong Fu, Ashvin Agrawal, Avrilia Floratou, Bill Graham, Andrew Jorgensen, Mark Li, Neng Lu, Karthik Ramasamy, Sriram Rao, Cong Wang

Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

No data left behind: real-time insights from a complex data ecosystem.

Manos Karpathiotakis, Avrilia Floratou, Fatma Özcan, Anastasia Ailamaki

Proceedings of the 2017 Symposium on Cloud Computing, SoCC 2017, Santa Clara, CA, USA, 2017

Self-Regulating Streaming Systems: Challenges and Opportunities.

Avrilia Floratou, Ashvin Agrawal

Proceedings of the International Workshop on Real-Time Business Intelligence and Analytics, 2017

2016

ATHENA: An Ontology-Driven System for Natural Language Querying over Relational Data Stores.

Diptikalyan Saha, Avrilia Floratou, Karthik Sankaranarayanan, Umar Farooq Minhas, Ashish R. Mittal, Fatma Özcan

Proc. VLDB Endow., 2016

Adaptive Caching in Big SQL using the HDFS Cache.

Avrilia Floratou, Nimrod Megiddo, Navneet Potti, Fatma Özcan, Uday Kale, Jan Schmitz-Hermes

Proceedings of the Seventh ACM Symposium on Cloud Computing, 2016

2015

Towards Systematic Data Center Design.

Avrilia Floratou

Proceedings of the Seventh Biennial Conference on Innovative Data Systems Research, 2015

Replica Placement in Multi-tenant Database Environments.

Avrilia Floratou, Jignesh M. Patel

Proceedings of the 2015 IEEE International Congress on Big Data, New York City, NY, USA, June 27, 2015

2014

SQL-on-Hadoop: Full Circle Back to Shared-Nothing Database Architectures.

Avrilia Floratou, Umar Farooq Minhas, Fatma Özcan

Proc. VLDB Endow., 2014

Towards Building Wind Tunnels for Data Center Design.

Avrilia Floratou, Frank Bertsch, Jignesh M. Patel, Georgios Laskaris

Proc. VLDB Endow., 2014

Benchmarking SQL-on-Hadoop Systems: TPC or Not TPC?

Avrilia Floratou, Fatma Özcan, Berni Schiefer

Proceedings of the Big Data Benchmarking - 5th International Workshop, 2014

2012

Can the Elephants Handle the NoSQL Onslaught?

Avrilia Floratou, Nikhil Teletia, David J. DeWitt, Jignesh M. Patel, Donghui Zhang

Proc. VLDB Endow., 2012

2011

Efficient and Accurate Discovery of Patterns in Sequence Data Sets.

Avrilia Floratou, Sandeep Tata, Jignesh M. Patel

IEEE Trans. Knowl. Data Eng., 2011

Column-Oriented Storage Techniques for MapReduce.

Avrilia Floratou, Jignesh M. Patel, Eugene J. Shekita, Sandeep Tata

Proc. VLDB Endow., 2011

When Free Is Not Really Free: What Does It Cost to Run a Database Workload in the Cloud?

Avrilia Floratou, Jignesh M. Patel, Willis Lang, Alan Halverson

Proceedings of the Topics in Performance Evaluation, Measurement and Characterization, 2011

2010

Efficient and accurate discovery of patterns in sequence datasets.

Avrilia Floratou, Sandeep Tata, Jignesh M. Patel

Proceedings of the 26th International Conference on Data Engineering, 2010