For large-scale data processing, how does the replication factor impact Hadoop cluster capacity planning?
- Enhances Processing Speed
- Improves Fault Tolerance
- Increases Storage Capacity
- Reduces Network Load
The replication factor in Hadoop impacts cluster capacity planning by improving fault tolerance. Higher replication ensures data availability even if some nodes fail. However, it comes at the cost of increased storage requirements. Capacity planning needs to balance fault tolerance with storage efficiency.
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