Is Apache Spark better than Hadoop for big data processing?

The question is about Apache Spark

Answer:

Apache Spark is often better than Hadoop for big data processing due to its in-memory computing capabilities, which make it faster for iterative algorithms and real-time processing. Hadoop, which relies on disk-based MapReduce, is better suited for tasks requiring extensive data storage and sequential processing. However, Spark can integrate with Hadoop’s HDFS for storage, offering flexibility in combining their strengths.

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