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Deep Representation Learning & Approximation Theory →0/5
1

Introduction to Deep Learning

Sara Beery · 1:00:51

2

How to Train a Neural Net

Sara Beery · 1:19:34

3

Approximation Theory

Jeremy Bernstein · 1:22:42

4

SQL Optimization Background

Andy Pavlo · 53:57

5

History of Query Optimizers ft. IBM System R

Andy Pavlo · 1:10:40

History of Query Optimizers ft. IBM System R

Andy PavloDistinguishedCarnegie Mellon University

Professor

1:10:40·2025·graduate level
Path step 5: Dissects IBM System R's bottom-up dynamic programming optimizer and Selinger selectivity estimation.

This session explores the historical evolution of query optimizers, focusing on the seminal contributions and architectural design of IBM System R and its influence on modern database systems.

Systems & CSDatabase SystemsBehavioral & Evolutionary BiologyIBM System RDatabase History

15-799 Special Topics in Database: Query Optimization (Spring 2025) Carnegie Mellon University

Source: CMU Database Group via YouTubeWatch on YouTube
LecturerAll lecturers →
Andy PavloDistinguished

Associate Professor of Databaseology, Carnegie Mellon University

Associate Professor of Computer Science at Carnegie Mellon whose 15-445 and 15-721 courses are the gold standard in database systems architecture.

3 courses · 58 lecturesCanon
Previous · Step 4

SQL Optimization Background

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