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For more information on the formats supported for input, see Supported File Formats.


When data is imported, a reference to it is stored by the platform as an imported dataset. The source data is not modified. In the application, you modify the recipe associated with a dataset to transform the imported data.


  1. Login to the application.


    Tip: When you login for the first time, you can immediately import a dataset to begin transforming it.

  2. In the menubar, click Library. Click Import Data.
  3. To add a dataset:

    1. Select the connection where your source is located. For this basic workflow, select  
    2. Upload: 
      1. Select Upload to upload a file from your local desktop. You can select multiple files to upload. For this example, select only one file.
      2. Navigate and select the file or files for your source. Click Open.
    3. Backend storage, such as S3:
      1. Navigate and select the file or files for your source.
      2. To queue the dataset for uploading, click the Plus icon next to its name.
      3. You can select multiple files.
    4. Select the Add to new flow checkbox. This option creates a new flow, which is a container object for your 
      D s item
      . Your imported dataset is added to it.
  4. To begin working with your dataset, click Continue. The flow is created for you, and your dataset is automatically added to it. 

  5. The imported dataset and its containing flow are created. 
  6. You can begin working immediately with the dataset in the Transformer page. See  For more information, see Transform Basics.

Tip: If you are interested, you can create a visual profile of your source data before you begin transforming. For more information, see Profiling Basics.

 For more information on details about importing, see Import Tasks.

Example Dataset

You can download an example dataset from the following URL: