First Workshop Connecting Academia and Industry on Modern Integrated Database and AI Systems (MIDAS). - Floratou, Avrilia; Patel, Jignesh M.; Krishnan, Subru (2025)

LST-Bench: Benchmarking Log-Structured Tables in the Cloud. - Camacho-Rodríguez, Jesús; Agrawal, Ashvin; Gruenheid, Anja; Gosalia, Ashit; Petculescu, Cristian; Aguilar-Saborit, Josep; Floratou, Avrilia; Curino, Carlo; Ramakrishnan, Raghu (Proc. ACM Manag. Data, 2024)

ReAcTable: Enhancing ReAct for Table Question Answering. - Zhang, Yunjia; Henkel, Jordan; Floratou, Avrilia; Cahoon, Joyce; Deep, Shaleen; Patel, Jignesh M. (Proc. VLDB Endow., 2024)

Rapidash: Efficient Detection of Constraint Violations. - Liu, Zifan; Deep, Shaleen; Fariha, Anna; Psallidas, Fotis; Tiwari, Ashish; Floratou, Avrilia (Proc. VLDB Endow., 2024)

Sphinteract: Resolving Ambiguities in NL2SQL Through User Interaction. - Zhao, Fuheng; Deep, Shaleen; Psallidas, Fotis; Floratou, Avrilia; Agrawal, Divy; Abbadi, Amr El (Proc. VLDB Endow., 2024)

Diversity, Equity and Inclusion Activities in Database Conferences: A 2023 Report. - Amer-Yahia, Sihem; Agrawal, Divyakant; Amsterdamer, Yael; Bhowmick, Sourav S.; Borovica-Gajic, Renata; Camacho-Rodríguez, Jesús; Cao, Jinli; Catania, Barbara; Chrysanthis, Panos K.; Curino, Carlo; Abbadi, Amr El; Floratou, Avrilia; et al. (SIGMOD Rec., 2024)

NL2SQL is a solved problem... Not! - Floratou, Avrilia; Psallidas, Fotis; Zhao, Fuheng; Deep, Shaleen; Hagleither, Gunther; Tan, Wangda; Cahoon, Joyce; Alotaibi, Rana; Henkel, Jordan; Singla, Abhik; Grootel, Alex Van; Chow, Brandon; et al. (2024)

PyFroid: Scaling Data Analysis on a Commodity Workstation. - Emani, K. Venkatesh; Floratou, Avrilia; Curino, Carlo (2024)

PACMMOD V1 N2 Editorial. - Agrawal, Divyakant; Amer-Yahia, Sihem; Candan, K. Selçuk; Floratou, Avrilia; Hacigümüs, Hakan (Proc. ACM Manag. Data, 2023)

Exploiting Structure in Regular Expression Queries. - Zhang, Ling; Deep, Shaleen; Floratou, Avrilia; Gruenheid, Anja; Patel, Jignesh M.; Zhu, Yiwen (Proc. ACM Manag. Data, 2023)

OneProvenance: Efficient Extraction of Dynamic Coarse-Grained Provenance From Database Query Event Logs. - Psallidas, Fotis; Agrawal, Ashvin; Sugunan, Chandru; Ibrahim, Khaled; Karanasos, Konstantinos; Camacho-Rodríguez, Jesús; Floratou, Avrilia; Curino, Carlo; Ramakrishnan, Raghu (Proc. VLDB Endow., 2023)

Will LLMs reshape, supercharge, or kill data science? - Halevy, Alon Y.; Choi, Yejin; Floratou, Avrilia; Franklin, Michael J.; Noy, Natasha F.; Wang, Haixun (Proc. VLDB Endow., 2023)

Diversity, Equity and Inclusion Activities in Database Conferences: A 2022 Report. - Amer-Yahia, Sihem; Agrawal, Divyakant; Amsterdamer, Yael; Bhowmick, Sourav S.; Bonifati, Angela; Borovica-Gajic, Renata; Camacho-Rodríguez, Jesús; Catania, Barbara; Chrysanthis, Panos K.; Curino, Carlo; Darmont, Jérôme; Dobbie, Gillian; et al. (SIGMOD Rec., 2023)

Schema Matching using Pre-Trained Language Models. - Zhang, Yunjia; Floratou, Avrilia; Cahoon, Joyce; Krishnan, Subru; Müller, Andreas C.; Banda, Dalitso; Psallidas, Fotis; Patel, Jignesh M. (2023)

Demonstration of Geyser: Provenance Extraction and Applications over Data Science Scripts. - Psallidas, Fotis; Leszczynski, Megan Eileen; Namaki, Mohammad Hossein; Floratou, Avrilia; Agrawal, Ashvin; Karanasos, Konstantinos; Krishnan, Subru; Subotic, Pavle; Weimer, Markus; Wu, Yinghui; Zhu, Yiwen (2023)

PolySem: Efficient Polyglot Analytics on Semantic Data. - Liu, Xinyu; Emani, K. Venkatesh; Floratou, Avrilia; Cahoon, Joyce; Seamark, Philip; Curino, Carlo (2023)

LST-Bench: Benchmarking Log-Structured Tables in the Cloud. - Camacho-Rodríguez, Jesús; Agrawal, Ashvin; Gruenheid, Anja; Gosalia, Ashit; Petculescu, Cristian; Aguilar-Saborit, Josep; Floratou, Avrilia; Curino, Carlo; Ramakrishnan, Raghu (CoRR, 2023)

From Words to Code: Harnessing Data for Program Synthesis from Natural Language. - Khatry, Anirudh; Cahoon, Joyce; Henkel, Jordan; Deep, Shaleen; Emani, K. Venkatesh; Floratou, Avrilia; Gulwani, Sumit; Le, Vu; Raza, Mohammad; Shi, Sherry; Singh, Mukul; Tiwari, Ashish (CoRR, 2023)

Rapidash: Efficient Constraint Discovery via Rapid Verification. - Liu, Zifan; Deep, Shaleen; Fariha, Anna; Psallidas, Fotis; Tiwari, Ashish; Floratou, Avrilia (CoRR, 2023)

ReAcTable: Enhancing ReAct for Table Question Answering. - Zhang, Yunjia; Henkel, Jordan; Floratou, Avrilia; Cahoon, Joyce; Deep, Shaleen; Patel, Jignesh M. (CoRR, 2023)

Data Science Through the Looking Glass: Analysis of Millions of GitHub Notebooks and ML.NET Pipelines. - Psallidas, Fotis; Zhu, Yiwen; Karlas, Bojan; Henkel, Jordan; Interlandi, Matteo; Krishnan, Subru; Kroth, Brian; Emani, K. Venkatesh; Wu, Wentao; Zhang, Ce; Weimer, Markus; Floratou, Avrilia; et al. (SIGMOD Rec., 2022)

Diversity and Inclusion Activities in Database Conferences: A 2021 Report. - Amer-Yahia, Sihem; Amsterdamer, Yael; Bhowmick, Sourav S.; Bonifati, Angela; Bonnet, Philippe; Borovica-Gajic, Renata; Catania, Barbara; Cerquitelli, Tania; Chiusano, Silvia; Chrysanthis, Panos K.; Curino, Carlo; Darmont, Jérôme; et al. (SIGMOD Rec., 2022)

OneProvenance: Efficient Extraction of Dynamic Coarse-Grained Provenance from Database Logs. - Psallidas, Fotis; Agrawal, Ashvin; Sugunan, Chandru; Ibrahim, Khaled; Karanasos, Konstantinos; Camacho-Rodríguez, Jesús; Floratou, Avrilia; Curino, Carlo; Ramakrishnan, Raghu (CoRR, 2022)

Cloudy with high chance of DBMS: a 10-year prediction for Enterprise-Grade ML. - Agrawal, Ashvin; Chatterjee, Rony; Curino, Carlo; Floratou, Avrilia; Godwal, Neha; Interlandi, Matteo; Jindal, Alekh; Karanasos, Konstantinos; Krishnan, Subru; Kroth, Brian; Leeka, Jyoti; Park, Kwanghyun; et al. (2020)

Vamsa: Automated Provenance Tracking in Data Science Scripts. - Namaki, Mohammad Hossein; Floratou, Avrilia; Psallidas, Fotis; Krishnan, Subru; Agrawal, Ashvin; Wu, Yinghui; Zhu, Yiwen; Weimer, Markus (2020)

Spur: Mitigating Slow Instances in Large-Scale Streaming Pipelines. - Wang, Ke; Floratou, Avrilia; Agrawal, Ashvin; Musgrave, Daniel (2020)

Vamsa: Tracking Provenance in Data Science Scripts. - Namaki, Mohammad Hossein; Floratou, Avrilia; Psallidas, Fotis; Krishnan, Subru; Agrawal, Ashvin; Wu, Yinghui (CoRR, 2020)

General-Purpose vs. Specialized Data Analytics Systems: A Game of ML & SQL Thrones. - Kassela, Evdokia; Provatas, Nikodimos; Konstantinou, Ioannis; Floratou, Avrilia; Koziris, Nectarios (2019)

Columnar Storage Formats. - Floratou, Avrilia (2019)

Cloudy with high chance of DBMS: A 10-year prediction for Enterprise-Grade ML. - Agrawal, Ashvin; Chatterjee, Rony; Curino, Carlo; Floratou, Avrilia; Godwal, Neha; Interlandi, Matteo; Jindal, Alekh; Karanasos, Konstantinos; Krishnan, Subru; Kroth, Brian; Leeka, Jyoti; Park, Kwanghyun; et al. (CoRR, 2019)

Data Science through the looking glass and what we found there. - Psallidas, Fotis; Zhu, Yiwen; Karlas, Bojan; Interlandi, Matteo; Floratou, Avrilia; Karanasos, Konstantinos; Wu, Wentao; Zhang, Ce; Krishnan, Subru; Curino, Carlo; Weimer, Markus (CoRR, 2019)

Dhalion in Action: Automatic Management of Streaming Applications. - Agrawal, Ashvin; Floratou, Avrilia (Proc. VLDB Endow., 2018)

Netco: Cache and I/O Management for Analytics over Disaggregated Stores. - Jalaparti, Virajith; Douglas, Chris; Ghosh, Mainak; Agrawal, Ashvin; Floratou, Avrilia; Kandula, Srikanth; Menache, Ishai; Naor, Joseph (Seffi); Rao, Sriram (2018)

Distributed File Systems. - Minhas, Umar Farooq; Floratou, Avrilia (2018)

Dhalion: Self-Regulating Stream Processing in Heron. - Floratou, Avrilia; Agrawal, Ashvin; Graham, Bill; Rao, Sriram; Ramasamy, Karthik (Proc. VLDB Endow., 2017)

Self-Regulating Streaming Systems: Challenges and Opportunities. - Floratou, Avrilia; Agrawal, Ashvin (2017)

No data left behind: real-time insights from a complex data ecosystem. - Karpathiotakis, Manos; Floratou, Avrilia; Özcan, Fatma; Ailamaki, Anastasia (2017)

Twitter Heron: Towards Extensible Streaming Engines. - Fu, Maosong; Agrawal, Ashvin; Floratou, Avrilia; Graham, Bill; Jorgensen, Andrew; Li, Mark; Lu, Neng; Ramasamy, Karthik; Rao, Sriram; Wang, Cong (2017)

ATHENA: An Ontology-Driven System for Natural Language Querying over Relational Data Stores. - Saha, Diptikalyan; Floratou, Avrilia; Sankaranarayanan, Karthik; Minhas, Umar Farooq; Mittal, Ashish R.; Özcan, Fatma (Proc. VLDB Endow., 2016)

Adaptive Caching in Big SQL using the HDFS Cache. - Floratou, Avrilia; Megiddo, Nimrod; Potti, Navneet; Özcan, Fatma; Kale, Uday; Schmitz-Hermes, Jan (2016)

Replica Placement in Multi-tenant Database Environments. - Floratou, Avrilia; Patel, Jignesh M. (2015)

Towards Systematic Data Center Design. - Floratou, Avrilia (2015)

Towards Building Wind Tunnels for Data Center Design. - Floratou, Avrilia; Bertsch, Frank; Patel, Jignesh M.; Laskaris, Georgios (Proc. VLDB Endow., 2014)

SQL-on-Hadoop: Full Circle Back to Shared-Nothing Database Architectures. - Floratou, Avrilia; Minhas, Umar Farooq; Özcan, Fatma (Proc. VLDB Endow., 2014)

Benchmarking SQL-on-Hadoop Systems: TPC or Not TPC? - Floratou, Avrilia; Özcan, Fatma; Schiefer, Berni (2014)

Can the Elephants Handle the NoSQL Onslaught? - Floratou, Avrilia; Teletia, Nikhil; DeWitt, David J.; Patel, Jignesh M.; Zhang, Donghui (Proc. VLDB Endow., 2012)

Can the Elephants Handle the NoSQL Onslaught? - Floratou, Avrilia; Teletia, Nikhil; DeWitt, David J.; Patel, Jignesh M.; Zhang, Donghui (CoRR, 2012)

Column-Oriented Storage Techniques for MapReduce. - Floratou, Avrilia; Patel, Jignesh M.; Shekita, Eugene J.; Tata, Sandeep (Proc. VLDB Endow., 2011)

Efficient and Accurate Discovery of Patterns in Sequence Data Sets. - Floratou, Avrilia; Tata, Sandeep; Patel, Jignesh M. (IEEE Trans. Knowl. Data Eng., 2011)

When Free Is Not Really Free: What Does It Cost to Run a Database Workload in the Cloud? - Floratou, Avrilia; Patel, Jignesh M.; Lang, Willis; Halverson, Alan (2011)

Column-Oriented Storage Techniques for MapReduce - Floratou, Avrilia; Patel, Jignesh M.; Shekita, Eugene J.; Tata, Sandeep (CoRR, 2011)

Efficient and accurate discovery of patterns in sequence datasets. - Floratou, Avrilia; Tata, Sandeep; Patel, Jignesh M. (2010)