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Distributed Consensus, Clocks & Storage Engines →0/7
1

Introduction & MapReduce

Robert Morris · 1:19:35

2

Distributed Systems 1.3: RPC (Remote Procedure Call)

Martin Kleppmann · 19:44

3

Distributed Systems 3.1: Physical time

Martin Kleppmann · 20:47

4

Distributed Systems 3.2: Clock synchronisation

Martin Kleppmann · 15:57

5

Raft Log Compaction, Persistence & Linearizability (Part 2)

Robert Morris · 1:17:36

6

The Relational Model & Relational Algebra

Andy Pavlo · 1:16:43

7

Buffer Pool Managers, LRU-K Eviction & Direct I/O

Andy Pavlo · 1:22:44

The Relational Model & Relational Algebra

Andy PavloDistinguishedCarnegie Mellon University

Associate Professor of Databaseology

1:16:43·2023·undergraduate level
Path step 6: Grounds state-machine storage in the relational model and algebraic query plans.

Traces Ted Codd's 1970 revolution over navigational CODASYL databases—why separating logical relational algebra from physical access paths made modern query optimizers possible.

Systems & CSDatabase SystemsRelational AlgebraDatabasesTed Codd

15-445/645 Intro to Database Systems (Fall 2023) 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 5

Raft Log Compaction, Persistence & Linearizability (Part 2)

Next · Step 7

Buffer Pool Managers, LRU-K Eviction & Direct I/O

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