Spark vs Hadoop MapReduce

Medium

big-data Databricks LinkedIn

What is the key architectural advantage of Apache Spark over traditional Hadoop MapReduce?

Multiple Choice

Spark uses a relational database backend for storage Spark processes data in-memory across stages, avoiding the disk I/O overhead of Hadoop MapReduce's intermediate writes Spark can only run on a single machine, making it simpler Spark does not support fault tolerance, which makes it faster

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Spark vs Hadoop MapReduce

Multiple Choice

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