How can data systems use AI, database learning, and workload feedback to improve queries, data pipelines, and system behavior?
Current systems: GenRewrite · DAGSmith. Earlier database-learning work: QuickSel · BlinkML.
Methods and questions
- large language models
- workload feedback
- equivalence checking
- query and pipeline optimization
- performance ranking