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This lecture from the CMU Database Group's "15-799 Special Topics in Database: Query Optimization" Spring 2025 course continues the exploration of cardinality estimation in query cost models. Presented by Professor Andy Pavlo, the 72-minute session builds upon previous discussions of query optimization techniques. Dive deeper into the challenges and solutions of accurately estimating result sizes for complex database queries, a critical component for query optimization. Access the comprehensive lecture slides to follow along with the technical concepts and examples presented. Part of Carnegie Mellon University's specialized database curriculum, this lecture provides advanced knowledge for database researchers and practitioners looking to understand the theoretical foundations of efficient query processing.
Syllabus
#14 - Query Cost Models: More Cardinality Estimation (CMU Optimize!)
Taught by
CMU Database Group