Test data generation lets you create realistic synthetic datasets for migration testing without exposing real production data. Datachecks supports two approaches:Documentation Index
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| Type | When to use |
|---|---|
| Structural | You want to replicate the data patterns, structure, and sensitivity profile of an existing datasource. Datachecks analyzes your source and generates data that matches its shape. |
| Fabricate | You want to build a dataset from scratch. You define the tables and columns yourself, and use data generators to populate each field. |