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Hadoop uses replication to achieve fault tolerance. How is this achieved in Apache Spark?



Hadoop uses replication to achieve fault tolerance. How is this achieved in Apache Spark?..

Answer / Akhilesh Kumari

Apache Spark doesn't use explicit replication for fault tolerance like Hadoop does. Instead, it uses resilient distributed datasets (RDDs) which are immutable distributed collections of data that can tolerate failures by default.

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