4: Spark-Fault Tolerance with In Memory Computing #spark #python #learning #programming #jeenu #sql
Mukesh Singh
Why Spark is often preferred over MapReduce?
Apache Spark is an open-source distributed computing system meant for large data processing and analytics.
Fault Tolerance with In-Memory Computing: While both Spark and MapReduce offer fault tolerance, Spark's use of resilient distributed datasets (RDDs) and in-memory caching algorithms can result in more effective fault recovery and quicker intermediate data processing.
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