In ETL testing, how does AI/ML facilitate the handling of unstructured data?
- By employing natural language processing for data extraction
- Leveraging rule-based algorithms for data transformation
- Through pattern recognition and semantic analysis
- Using traditional database queries
AI/ML in ETL testing facilitates handling unstructured data by employing pattern recognition and semantic analysis. This enables the system to understand and process data with varying structures, improving adaptability.
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