This lecture covers query-driven cleaning techniques for denial constraints in databases, focusing on functional dependencies and denial constraints. It discusses relaxation strategies, query-driven cleaning processes, and the impact of violations on data cleaning efficiency. The instructor presents experimental setups and results, comparing full and incremental cleaning costs. The lecture also introduces Daisy, an analysis-aware cleaning approach that integrates cleaning operators into query plans for improved scalability.
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