Topic Replication

The video tutorial explains the concept of distributed systems in the context of big data, focusing on the importance of replication to ensure data availability and reliability. It covers the replication factor, which determines the number of data copies across brokers, and discusses how this helps maintain data access even if some brokers fail. The tutorial also introduces the concept of a leader and in-sync replicas (ISR) in Kafka, explaining how Zookeeper manages leader elections to ensure continuous data service.

Describe the process that occurs when a leader broker fails in a distributed system.

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What is the function of Zookeeper in managing leaders and replicas in a distributed system?

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