Data Management for End-to-End Machine Learning

More workshops at SIGMOD 2026

• AI Techniques for Data Management — Explores how AI and machine learning techniques can improve database systems, query optimization, and data...
• Data Management on Modern Hardware — Covers database system design that exploits modern hardware characteristics including SSDs, NVM, multi-core CPUs, and...
• Testing Database Systems — Focuses on methods, tools, and benchmarks for correctness and performance testing of database management systems....
• Data Management for Financial Systems — Brings together researchers and practitioners on data management problems specific to financial systems, including risk,...
• Data Formats for Modern Architectures — Examines how data serialization and storage formats affect performance across modern compute architectures and diverse...
• Graph Data Management and Network Data Analytics — Covers graph database systems, graph query languages, and analytics over network-structured data.
• Human-in-the-Loop Data Analytics — Focuses on interactive and collaborative analytics systems where human feedback and intent shape the data...
• Quantum-Inspired Technology for Data-Intensive Systems — Explores quantum computing and quantum-inspired algorithms applied to large-scale data management and processing challenges.
• Data Management, Privacy, and Security — Addresses privacy-preserving query processing, secure database architectures, and regulatory compliance in data management systems.
• Synthetic Data Generation for AI — Examines techniques for generating, validating, and managing synthetic datasets used to train and evaluate AI...