Which aspect of Hadoop development is crucial for managing and handling large datasets effectively?
- Data Compression
- Data Ingestion
- Data Sampling
- Data Serialization
Data compression is crucial for managing and handling large datasets effectively in Hadoop development. Compression reduces the storage space required for data, speeds up data transmission, and enhances overall system performance by reducing the I/O load on the storage infrastructure.
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