For a project requiring high throughput in data processing, what Hadoop feature should be emphasized in the development process?
- Data Compression
- Data Partitioning
- Data Replication
- Data Serialization
To achieve high throughput in data processing, emphasizing data partitioning is crucial. By efficiently partitioning data across nodes, Hadoop can parallelize processing, enabling high throughput and improved performance in scenarios with large datasets.
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