In terms of ETL, how do advanced data quality tools handle complex data transformations?
- Ignore complex transformations for simplicity
- Leverage pre-built functions and algorithms for common transformations
- Rely solely on manual intervention for complex transformations
- Utilize custom scripts and code for specific transformations
Advanced data quality tools in ETL often employ custom scripts and code to handle complex data transformations, ensuring flexibility and precision in processing diverse data structures and formats.
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