After you have iterated on your recipe and generated a result that is to your satisfaction, you can export the transformed data. In the Job Results page, click Export Results.
Click the links to download flat file versions.
From the Transformer page, you can download your recipe as a text file. See Transformer Page.If you successfully completed processing of the dataset, you now have the following very useful assets:
- A dataset that can be used as an input for other datasets.
- A Wrangle recipe that you can re-purpose for other datasets.
In the Export Results Window, you can create a new dataset from the generated output. Under Create Dataset, select the format from the drop-down. To create the new dataset, click Create. For more information, see Build Sequence of Datasets.If you walked through this workflow in the application, you have imported, cleansed, transformed, and possibly enhanced your data for use in the next step of your analytics pipeline. Hopefully, this process has given you insight into the easy-to-use tools at your disposal through Cloud Dataprep and how quickly they can be used to render imported datasets into clean and actionable data for use across the enterprise.