What feature of Apache Spark contributes to its high processing speed compared to traditional MapReduce in Hadoop?
- Data Compression
- Data Replication
- In-memory Processing
- Task Scheduling
Apache Spark's high processing speed is attributed to its in-memory processing feature. Unlike traditional MapReduce, Spark stores intermediate data in memory, reducing the need for time-consuming disk I/O operations and accelerating data processing.
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