Data profiling is a technique used to analyze source data. PowerCenter Data Profiling can help you evaluate source data and detect patterns and exceptions. PowerCenter lets you profile source data to suggest candidate keys, detect data patterns, evaluate join criteria, and determine information, such as implicit datatype.
You can use Data Profiling to analyze source data in the following situations:
- During mapping development
- During production to maintain data quality
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