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Field and Row Validation

Validate columns, values, and row patterns before using a dataset downstream.

7 minutesGIS analysts and ETL usersValidated 2026-05-15
Before you start
  • Dataset open in Data Store

Validation in Data Store is about confirming that the records support the next job, not just that the dataset exists.

What to validate

  • expected fields are present
  • values are populated the way the downstream logic expects
  • rows look consistent enough for mapping, ETL, or API use

When this step matters most

Spend time here before you build expressions, joins, request matching, or publication logic that depends on specific field structure.