What is data validation during transformation?

< 1 min read

Data validation during transformation means verifying data correctness while preparing it.
We checked data types after conversion like date and numeric fields.
Mandatory columns such as Order ID were validated for nulls.
Business rules applied, for example quantity cannot be negative.
In my project, order date greater than today was rejected.
Lookup tables ensured product codes matched master data.
Invalid rows were moved to an error table for review.
We compared sample totals with source system after transformation.
This prevented incorrect KPIs from entering dashboards.
So validation ensures clean and trustworthy transformed data.

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