How are advancements in AI impacting error handling and data quality in ETL processes?
- AI automates error detection and correction
- AI enhances data profiling techniques
- AI is not relevant to ETL error handling
- AI simplifies the ETL architecture
Advancements in AI enable automation of error detection and correction in ETL processes. Machine learning algorithms can learn from historical data to identify patterns and anomalies, improving overall data quality.
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