__________ is crucial for automating the validation of data pipelines in Big Data testing.

  • Data Encryption
  • Data Generation
  • Data Profiling
  • Data Quality
Data profiling is crucial for automating the validation of data pipelines in Big Data testing. It involves the analysis and assessment of data to understand its structure, quality, and characteristics. Automated data profiling tools can help identify anomalies, inconsistencies, and errors in large datasets, ensuring the accuracy and reliability of data in Big Data testing scenarios.
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