Data Definitions

Data definitions are the schema of your data.

Data Handling

Data handling processes valid data or invalid data and either accepts it or reject it.

Significant/Email - Email format should be correct. Any invalid email format will be rejected. This field cannot be blank or NULL when being passed from entry source

Significant/Number - Only numeric values allowed. Non-numeric values, and NULL values or blank values are rejected.

Required fields - When a significant field or a non-significant field is marked as Required, its value cannot be NULL or blank in the Entry Source. The character limit specified would be the maximum limit of the field. Any value exceeding the mentioned length will be rejected.

These required field validations are an addition to the significant field validations, in case a field is marked both Required and Significant