What is the primary goal of scaling a Hadoop cluster?
- Enhance Fault Tolerance
- Improve Processing Speed
- Increase Storage Capacity
- Reduce Network Latency
The primary goal of scaling a Hadoop cluster is to improve processing speed. Scaling allows the cluster to handle larger volumes of data and perform computations more efficiently by distributing the workload across a greater number of nodes. This enhances the overall performance of data processing tasks.
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