In Talend Cloud Data Preparation, areciperefers to a sequence of data transformation steps applied to a dataset. These steps can include actions like filtering, cleansing, enriching, and formatting data to prepare it for analysis or reporting. The recipe ensures that the same transformations can be consistently reapplied to the dataset or similar datasets, promoting data consistency and efficiency.
Why not other options?
Option A:A recipe is not a dataset itself but a set of transformation instructions applied to a dataset.
Option C:While semantic types are important, a recipe encompasses more than just listing them; it involves actionable transformations.
Option D:Recipes are not datasets but are applied to datasets to achieve desired transformations.
[References:Talend Cloud Data Preparation User Guide, ]
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