How does the use of Scala and Spark improve the performance of data processing tasks in Hadoop compared to traditional MapReduce?
- Dynamic Resource Allocation
- Improved Fault Tolerance
- In-memory Processing
- Query Optimization
The use of Scala and Spark in Hadoop enhances performance through in-memory processing. Spark keeps intermediate data in memory, reducing the need to write to disk, and allowing faster iterative processing compared to the traditional MapReduce approach.
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