Scalable and Fault-tolerant Stateful Stream Processing. - Raul Castro Fernandez; Matteo Migliavacca; Evangelia Kalyvianaki; Peter R. Pietzuch (ICCSW, 2013)

Integrating scale out and fault tolerance in stream processing using operator state management. - Raul Castro Fernandez; Matteo Migliavacca; Evangelia Kalyvianaki; Peter R. Pietzuch (SIGMOD Conference, 2013)

Scalable stateful stream processing for smart grids. - Raul Castro Fernandez; Matthias Weidlich 001; Peter R. Pietzuch; Avigdor Gal (DEBS, 2014)

Making State Explicit for Imperative Big Data Processing. - Raul Castro Fernandez; Matteo Migliavacca; Evangelia Kalyvianaki; Peter R. Pietzuch (USENIX ATC, 2014)

Liquid: Unifying Nearline and Offline Big Data Integration. - Raul Castro Fernandez; Peter R. Pietzuch; Jay Kreps; Neha Narkhede; Jun Rao; Joel Koshy; Dong Lin; Chris Riccomini; Guozhang Wang (CIDR, 2015)

Ako: Decentralised Deep Learning with Partial Gradient Exchange. - Pijika Watcharapichat; Victoria Lopez Morales; Raul Castro Fernandez; Peter R. Pietzuch (SoCC, 2016)

The SABER system for window-based hybrid stream processing with GPGPUs: demo. - Alexandros Koliousis; Matthias Weidlich 001; Raul Castro Fernandez; Alexander L. Wolf; Paolo Costa; Peter R. Pietzuch (DEBS, 2016)

Java2SDG: Stateful big data processing for the masses. - Raul Castro Fernandez; Panagiotis Garefalakis; Peter R. Pietzuch (ICDE, 2016)

Towards large-scale data discovery: position paper. - Raul Castro Fernandez; Ziawasch Abedjan; Samuel Madden 001; Michael Stonebraker (ExploreDB@SIGMOD/PODS, 2016)

SABER: Window-Based Hybrid Stream Processing for Heterogeneous Architectures. - Alexandros Koliousis; Matthias Weidlich 001; Raul Castro Fernandez; Alexander L. Wolf; Paolo Costa; Peter R. Pietzuch (SIGMOD Conference, 2016)

Detecting Data Errors: Where are we and what needs to be done? - Ziawasch Abedjan; Xu Chu; Dong Deng 001; Raul Castro Fernandez; Ihab F. Ilyas; Mourad Ouzzani; Paolo Papotti; Michael Stonebraker; Nan Tang 001 (Proc. VLDB Endow., 2016)

Quill: Efficient, Transferable, and Rich Analytics at Scale. - Badrish Chandramouli; Raul Castro Fernandez; Jonathan Goldstein; Ahmed Eldawy; Abdul Quamar (Proc. VLDB Endow., 2016)

Stateful data-parallel processing. - Raul Castro Fernandez (2016)

The Data Civilizer System. - Dong Deng 001; Raul Castro Fernandez; Ziawasch Abedjan; Sibo Wang 001; Michael Stonebraker; Ahmed K. Elmagarmid; Ihab F. Ilyas; Samuel Madden 001; Mourad Ouzzani; Nan Tang 001 (CIDR, 2017)

A Demo of the Data Civilizer System. - Raul Castro Fernandez; Dong Deng 001; Essam Mansour 001; Abdulhakim Ali Qahtan; Wenbo Tao; Ziawasch Abedjan; Ahmed K. Elmagarmid; Ihab F. Ilyas; Samuel Madden 001; Mourad Ouzzani; Michael Stonebraker; Nan Tang 001 (SIGMOD Conference, 2017)

What to do about database decay. - Michael Stonebraker; Raul Castro Fernandez; Dong Deng 001; Michael L. Brodie (Commun. ACM, 2017)

Extracting Syntactic Patterns from Databases. - Andrew Ilyas; Joana M. F. da Trindade; Raul Castro Fernandez; Samuel Madden 001 (CoRR, 2017)

Aurum: A Data Discovery System. - Raul Castro Fernandez; Ziawasch Abedjan; Famien Koko; Gina Yuan; Samuel Madden 001; Michael Stonebraker (ICDE, 2018)

Seeping Semantics: Linking Datasets Using Word Embeddings for Data Discovery. - Raul Castro Fernandez; Essam Mansour 001; Abdulhakim Ali Qahtan; Ahmed K. Elmagarmid; Ihab F. Ilyas; Samuel Madden 001; Mourad Ouzzani; Michael Stonebraker; Nan Tang 001 (ICDE, 2018)

Extracting Syntactical Patterns from Databases. - Andrew Ilyas; Joana M. F. da Trindade; Raul Castro Fernandez; Samuel Madden 001 (ICDE, 2018)

Building Data Civilizer Pipelines with an Advanced Workflow Engine. - Essam Mansour 001; Dong Deng 001; Raul Castro Fernandez; Abdulhakim Ali Qahtan; Wenbo Tao; Ziawasch Abedjan; Ahmed K. Elmagarmid; Ihab F. Ilyas; Samuel Madden 001; Mourad Ouzzani; Michael Stonebraker; Nan Tang 001 (ICDE, 2018)

FAHES: A Robust Disguised Missing Values Detector. - Abdulhakim Ali Qahtan; Ahmed K. Elmagarmid; Raul Castro Fernandez; Mourad Ouzzani; Nan Tang 001 (KDD, 2018)

Meta-Dataflows: Efficient Exploratory Dataflow Jobs. - Raul Castro Fernandez; William Culhane; Pijika Watcharapichat; Matthias Weidlich 001; Victoria Lopez Morales; Peter R. Pietzuch (SIGMOD Conference, 2018)

Smallify: Learning Network Size while Training. - Guillaume Leclerc; Manasi Vartak; Raul Castro Fernandez; Tim Kraska; Samuel Madden 001 (CoRR, 2018)

Aurum: a story about research taste. - Raul Castro Fernandez (Making Databases Work, 2019)

Data civilizer: end-to-end support for data discovery, integration, and cleaning. - Mourad Ouzzani; Nan Tang 001; Raul Castro Fernandez (Making Databases Work, 2019)

Lazo: A Cardinality-Based Method for Coupled Estimation of Jaccard Similarity and Containment. - Raul Castro Fernandez; Jisoo Min; Demitri Nava; Samuel Madden 001 (ICDE, 2019)

Termite: a system for tunneling through heterogeneous data. - Raul Castro Fernandez; Samuel Madden 001 (aiDM@SIGMOD, 2019)

Raha: A Configuration-Free Error Detection System. - Mohammad Mahdavi; Ziawasch Abedjan; Raul Castro Fernandez; Samuel Madden 001; Mourad Ouzzani; Michael Stonebraker; Nan Tang 001 (SIGMOD Conference, 2019)

Starling: A Scalable Query Engine on Cloud Function Services. - Matthew Perron; Raul Castro Fernandez; David J. DeWitt; Samuel Madden 001 (CoRR, 2019)

Dataset-On-Demand: Automatic View Search and Presentation for Data Discovery. - Raul Castro Fernandez; Nan Tang 001; Mourad Ouzzani; Michael Stonebraker; Samuel Madden 001 (CoRR, 2019)

A System for Studying Deep Network Training. - Raul Castro Fernandez (CIDR, 2020)

Starling: A Scalable Query Engine on Cloud Functions. - Matthew Perron; Raul Castro Fernandez; David J. DeWitt; Samuel Madden 001 (SIGMOD Conference, 2020)

Data Market Platforms: Trading Data Assets to Solve Data Problems [Vision Paper]. - Raul Castro Fernandez; Pranav Subramaniam; Michael J. Franklin (CoRR, 2020)

The Data Station: Combining Data, Compute, and Market Forces. - Raul Castro Fernandez; Kyle Chard; Ben Blaiszik; Sanjay Krishnan; Aaron J. Elmore; Ziad Obermeyer; Josh Risley; Sendhil Mullainathan; Michael J. Franklin; Ian T. Foster (CoRR, 2020)

ARDA: Automatic Relational Data Augmentation for Machine Learning. - Nadiia Chepurko; Ryan Marcus; Emanuel Zgraggen; Raul Castro Fernandez; Tim Kraska; David R. Karger (Proc. VLDB Endow., 2020)

Data Market Platforms: Trading Data Assets to Solve Data Problems. - Raul Castro Fernandez; Pranav Subramaniam; Michael J. Franklin (Proc. VLDB Endow., 2020)

Comprehensive and Comprehensible Data Catalogs: The What, Who, Where, When, Why, and How of Metadata Management. - Pranav Subramaniam; Yintong Ma; Chi Li; Ipsita Mohanty; Raul Castro Fernandez (CoRR, 2021)

Niffler: A Reference Architecture and System Implementation for View Discovery over Pathless Table Collections by Example. - Yue Gong; Zhiru Zhu; Sainyam Galhotra; Raul Castro Fernandez (CoRR, 2021)

Protecting Data Markets from Strategic Buyers. - Raul Castro Fernandez (SIGMOD Conference, 2022)

Leva: Boosting Machine Learning Performance with Relational Embedding Data Augmentation. - Zixuan Zhao; Raul Castro Fernandez (SIGMOD Conference, 2022)

Enabling AI Innovation via Data and Model Sharing: An Overview of the Nsf Convergence Accelerator Track D. - Chaitanya K. Baru; Michael Pozmantier; Ilkay Altintas; Stephen Baek; Jonathan Cohen 003; Laura E. Condon; Giulia Fanti; Raul Castro Fernandez; Ethan Jackson; Upmanu Lall; Bennett A. Landman; Hai Li 001; et al. (AI Mag., 2022)

Data Station: Delegated, Trustworthy, and Auditable Computation to Enable Data-Sharing Consortia with a Data Escrow. - Siyuan Xia; Zhiru Zhu; Chris Zhu; Jinjin Zhao; Kyle Chard; Aaron J. Elmore; Ian T. Foster; Michael J. Franklin; Sanjay Krishnan; Raul Castro Fernandez (Proc. VLDB Endow., 2022)

Revisiting Online Data Markets in 2022: A Seller and Buyer Perspective. - Javen Kennedy; Pranav Subramaniam; Sainyam Galhotra; Raul Castro Fernandez (SIGMOD Rec., 2022)

Metam: Goal-Oriented Data Discovery. - Sainyam Galhotra; Yue Gong; Raul Castro Fernandez (ICDE, 2023)

Ver: View Discovery in the Wild. - Yue Gong; Zhiru Zhu; Sainyam Galhotra; Raul Castro Fernandez (ICDE, 2023)

Addressing Budget Allocation and Revenue Allocation in Data Market Environments Using an Adaptive Sampling Algorithm. - Boxin Zhao; Boxiang Lyu; Raul Castro Fernandez; Mladen Kolar (ICML, 2023)

Data Discovery using Natural Language Questions via a Self-Supervised Approach. - Qiming Wang; Raul Castro Fernandez (CoRR, 2023)

Kitana: Efficient Data Augmentation Search for AutoML. - Zezhou Huang; Pranav Subramaniam; Raul Castro Fernandez; Eugene Wu 002 (CoRR, 2023)

Making Differential Privacy Easier to Use for Data Controllers and Data Analysts using a Privacy Risk Indicator and an Escrow-Based Platform. - Zhiru Zhu; Raul Castro Fernandez (CoRR, 2023)

A Data-Centric Online Market for Machine Learning: From Discovery to Pricing. - Minbiao Han; Jonathan Light; Steven Xia; Sainyam Galhotra; Raul Castro Fernandez; Haifeng Xu (CoRR, 2023)

Data-Sharing Markets: Model, Protocol, and Algorithms to Incentivize the Formation of Data-Sharing Consortia. - Raul Castro Fernandez (Proc. ACM Manag. Data, 2023)

How Large Language Models Will Disrupt Data Management. - Raul Castro Fernandez; Aaron J. Elmore; Michael J. Franklin; Sanjay Krishnan; Chenhao Tan (Proc. VLDB Endow., 2023)

Saibot: A Differentially Private Data Search Platform. - Zezhou Huang; Jiaxiang Liu; Daniel Alabi; Raul Castro Fernandez; Eugene Wu 002 (Proc. VLDB Endow., 2023)

Data and AI Model Markets: Opportunities for Data and Model Sharing, Discovery, and Integration. - Jian Pei 001; Raul Castro Fernandez; Xiaohui Yu 001 (Proc. VLDB Endow., 2023)

Cackle: Analytical Workload Cost and Performance Stability With Elastic Pools. - Matthew Perron; Raul Castro Fernandez; David J. DeWitt; Michael J. Cafarella; Samuel Madden 001 (Proc. ACM Manag. Data, 2023)

Solo: Data Discovery Using Natural Language Questions Via A Self-Supervised Approach. - Qiming Wang; Raul Castro Fernandez (Proc. ACM Manag. Data, 2023)

Demonstration of Ver: View Discovery in the Wild. - Kevin Dharmawan; Chirag A. Kawediya; Yue Gong; Zaki Indra Yudhistira; Zhiru Zhu; Sainyam Galhotra; Adila Alfa Krisnadhi; Raul Castro Fernandez (SIGMOD Conference Companion, 2024)

Responsible Sharing of Spatiotemporal Data. - Raul Castro Fernandez; Arnab Nandi 001 (SIGMOD Conference Companion, 2024)

Demonstrating Nexus for Correlation Discovery over Collections of Spatio-Temporal Tabular Data. - Yue Gong; Raul Castro Fernandez (SIGMOD Conference Companion, 2024)

Controlling Dataflows with a Bolt-on Data Escrow. - Zhiru Zhu; Raul Castro Fernandez (CoRR, 2024)

Programmable Dataflows: Abstraction and Programming Model for Data Sharing. - Siyuan Xia; Chris Zhu; Tapan Srivastava; Bridget Fahey; Raul Castro Fernandez (CoRR, 2024)

FabricQA-Extractor: A Question Answering System to Extract Information from Documents using Natural Language Questions. - Qiming Wang; Raul Castro Fernandez (CoRR, 2024)

A Survey on Data Markets. - Jiayao Zhang 006; Yuran Bi; Mengye Cheng; Jinfei Liu; Kui Ren 001; Qiheng Sun; Yihang Wu; Yang Cao 011; Raul Castro Fernandez; Haifeng Xu; Ruoxi Jia 001; Yongchan Kwon; et al. (CoRR, 2024)

Nexus: Correlation Discovery over Collections of Spatio-Temporal Tabular Data. - Yue Gong; Sainyam Galhotra; Raul Castro Fernandez (Proc. ACM Manag. Data, 2024)

Saving Money for Analytical Workloads in the Cloud. - Tapan Srivastava; Raul Castro Fernandez (Proc. VLDB Endow., 2024)

Not-So-Bitter Pill to Swallow: Slipstreaming Memory Safe Programming via Rust as part of a Database Systems Course. - Mohammed Suhail Rehman; Aaron J. Elmore; Raul Castro Fernandez (DataEd@SIGMOD, 2025)

Where Does Academic Database Research Go From Here? - Eugene Wu 002; Raul Castro Fernandez (SIGMOD Conference Companion, 2025)

Core Hours and Carbon Credits: Incentivizing Sustainability in HPC. - Alok Kamatar; Maxime Gonthier; Valérie Hayot-Sasson; André Bauer 001; Marcin Copik; Torsten Hoefler; Raul Castro Fernandez; Kyle Chard; Ian T. Foster (CoRR, 2025)

Exploiting LLMs for Automatic Hypothesis Assessment via a Logit-Based Calibrated Prior. - Yue Gong; Raul Castro Fernandez (CoRR, 2025)

Pneuma: Leveraging LLMs for Tabular Data Representation and Retrieval in an End-to-End System. - Muhammad Imam Luthfi Balaka; David Alexander; Qiming Wang; Yue Gong; Adila Krisnadhi; Raul Castro Fernandez (Proc. ACM Manag. Data, 2025)

Mass-Scale Analysis of In-the-Wild Conversations Reveals Complexity Bounds on LLM Jailbreaking. - Aldan Creo; Raul Castro Fernandez; Manuel Cebrian (CoRR, 2025)

Front Matter. - Sonia Bergamaschi; Sourav S. Bhowmick; Philippe Bonnet; Surajit Chaudhuri; Xiaoou Ding; Hakan Ferhatosmanoglu; Raul Castro Fernandez; Jana Giceva; Madelon Hulsebos; Alexandra Meliou; Nikos Ntarmos; Themis Palpanas; et al. (Proc. VLDB Endow., 2025)

Emergent evaluation hubs in a decentralizing large language model ecosystem. - Manuel Cebrian; Tomomi Kito; Raul Castro Fernandez (CoRR, 2025)