____ is essential for maintaining data consistency and reliability in distributed Hadoop data pipelines.

  • Checkpointing
  • Data Compression
  • Data Encryption
  • Data Serialization
Checkpointing is essential for maintaining data consistency and reliability in distributed Hadoop data pipelines. It involves creating periodic checkpoints to save the current state of the application, enabling recovery from failures without reprocessing the entire dataset.
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