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Tip: Before you begin transforming, you should know the target schema that your transformed data must match. A schema is the set of columns and their data types, which define the constraints of your dataset. |
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Tip: If you want to match up against the target schema, you can import a dataset to serve as the target schema to which you are mapping. For more information on this advanced feature, see Overview of Target Matching. |
Recommended Methods for Building Recipes
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- Remove unused columns
- Address missing and mismatched data
- Change data types
- Improve consistency, validity, and reliability of the data
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First recipe steps:
When a dataset sample is first loaded into the Transformer page,
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Click the Search icon in the menu bar.
In the Search panel textbox, type:
D code header
- The transformation is displayed in the Transform Builder. If you need to specify a different row to use, you can specify a specific row number to use in the Row textbox.
- To add this or any transform in development to your recipe, click Add. This button is disabled if the step is invalid.
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