Lecture 15: Big Data: Spark
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EPISODES:
Lecture 1: Introduction
Lecture 2: RPC and Threads
Lecture 3: GFS
Lecture 4: Primary-Backup Replication
Lecture 5: Go, Threads, and Raft
Lecture 6: Fault Tolerance: Raft (1)
Lecture 7: Fault Tolerance: Raft (2)
Lecture 8: Zookeeper
Lecture 9: More Replication, CRAQ
Lecture 10: Cloud Replicated DB, Aurora
Lecture 11: Cache Consistency: Frangipani
Lecture 12: Distributed Transactions
Lecture 13: Spanner
Lecture 14: Optimistic Concurrency Control
Lecture 15: Big Data: Spark
Lecture 16: Cache Consistency: Memcached at Facebook
Lecture 17: COPS, Causal Consistency
Lecture 18: Fork Consistency, Certificate Transparency
Lecture 19: Bitcoin
Lecture 20: Blockstack
