Data validation applies sanity checks initial data or after transformations in order to ensure that data passed into later stages of processing is internally consistent. If the initial data fails data validation there may be a need for data clearning. If transformed data fails it usually suggests a fault in the transformation.
Used on Chap. 10: page 199