How does distributed consensus (like Raft) support data processing systems?

Consensus algorithms like Raft ensure all nodes in a distributed system agree on shared state.

In distributed systems, failures and network partitions can lead to inconsistent states. Raft ensures strong consistency by electing a leader node that coordinates log replication. This is crucial in systems like Kafka, ZooKeeper, and distributed databases to maintain ordering and correctness of events.