Fault Tolerance and Recovery: Data Safety in Distributed Computing

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Description

This lecture covers fault tolerance in distributed computing systems, focusing on data safety and job recovery. Topics include replication for data safety, HDFS architecture, job recovery in MapReduce and Spark, and the importance of lineage information. The instructor emphasizes the need to minimize effort for recovering failed jobs and mask failures to avoid user delays.

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