How does a conditional transformation affect data flow in an ETL process?
- It aggregates data to calculate summary statistics
- It filters rows based on specified conditions
- It joins data from multiple sources
- It sorts data based on certain criteria
A conditional transformation in an ETL process filters rows based on specified conditions. It allows users to include or exclude data based on criteria such as value ranges, patterns, or comparisons with other data. This ensures that only relevant data is processed further in the pipeline.
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