A company is implementing AI/ML in its ETL testing process to handle large data volumes. What are the expected benefits and challenges?
- Efficient Resource Utilization, Reduced Processing Time, Enhanced Data Privacy, Dependency on Legacy Systems
- Faster Processing, Reduced Cost, Data Security, Increased Manual Efforts
- Improved Scalability, Enhanced Data Accuracy, Increased Automation, Potential for Bias
- Real-time Monitoring, Simplified Maintenance, Decreased Complexity, Limited Data Exploration
Implementing AI/ML in ETL testing for large data volumes can bring benefits like improved scalability, enhanced data accuracy, increased automation, but it also poses challenges such as potential bias in algorithms and the need for thorough validation.
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