Page tree

Versions Compared

Key

  • This line was added.
  • This line was removed.
  • Formatting was changed.
Comment: Published by Scroll Versions from space DEV and version next

After you have iterated on your recipe and generated a result that is to your satisfaction, you can export the transformed data. 

Steps:

  1. In the

...

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.

...

  1. left nav bar, click the Jobs icon.
  2. In the Jobs page, click the job identifier to open the job in the Job Details page. For more information, see Job Details Page.
  3. Click the Output Destinations tab.
  4. Export by:
    1. Direct file download: Click the file to download. From its righthand context menu, select Download result.

      Info

      NOTE: Some file types cannot be downloaded.

       

       

    2. Create new dataset: You can create a new dataset from a generated output. Click the file. From its righthand context menu, select Create imported dataset. For more information, see Build Sequence of Datasets.


Tip

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