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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.


  • A dataset that can be used as an input for other datasets.
  • A
    D s lang
     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.


Checkpoint: Done!

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 pipelinerun a job to generate transformed results. Hopefully, this process has given you insight into the easy-to-use tools at your disposal through through 

D s product
 and how quickly they can be used to render transform imported datasets into clean and actionable data for use across the enterprise.