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Table 5 Examples of extracted data validations

From: Dynamic-ETL: a hybrid approach for health data extraction, transformation and loading

Validation Rule Type of error Description
Data in a date or timestamp column cannot be parsed as a date Error Invalid date data will fail date operators and functions
Data is missing in a field defined as required by the schema Error Missing data in required fields will violate database constraints of target schema
A column in the schema has a missing length, precision or scale Warning Default length, precision or scale can be used
Data in a numeric or decimal column is not a number Error Invalid numeric data will fail numeric operators and functions
Data is too long for text or varchar field Error Data loss will occur if long text values are truncated to meet length requirement