Detecting anomalies in columns (Functional Dependency Analysis) - 7.3

Talend Data Fabric Studio User Guide

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This type of analysis helps you to detect anomalies in column dependencies through defining columns as either "determinant" or "dependent" and then analyzing values in dependant columns against those in determinant columns. This analysis supports only database tables.

This type of analysis detects to what extent a value in a determinant column functionally determines another value in a dependant column.

This can help you identify problems in your data, such as values that are not valid. For example, if you analyze the dependency between a column that contains United States Zip Codes and a column that contains states in the United States, the same Zip Code should always have the same state. Running the functional dependency analysis on these two columns will show if there are any violations of this dependency.