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This documentation applies to Trifacta Wrangler. Download this free product.
Registered users of this product or Trifacta Wrangler Enterprise should login to Product Docs through the application.

Trifacta® Wrangler can import data from a variety of flat file formats.

NOTE: Trifacta Wrangler does not modify a source. Instead, a set of metadata is associated with the raw data, which enables transformation of the source. On export, a new version of the data is written to the preferred output destination.

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

Basic steps:

  1. When data is imported, a reference to it is stored by the platform as an imported dataset. This reference object is not modified.
  2. A wrangled dataset can be created from an imported dataset. A wrangled dataset associates an imported dataset and a recipe to modify the data.
    1. For more information on the differences, see Imported vs Wrangled Dataset.

NOTE: In the application, you modify the recipe associated with a dataset to transform the imported data.


NOTE: Any user with a valid user account can import data from a local file.

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

    1. Among the connections in the left panel, click Add File.
    2. In the main panel, click Choose File.
    3. Navigate your local environment to select the file to upload. You can select multiple files to upload. For this example, select only one file.
    4. Click Open.

  4. To begin working with a dataset, you must first add it into a flow, which is a container for datasets. Click the Add Dataset to a Flow checkbox and enter the name for a new flow.

    Tip: If you have selected a single file, you can begin wrangling it immediately. Click Import and Wrangle. The flow is created for you, and your dataset is added to it.

  5. Click Import & Add to Flow.
  6. After the flow has been created, open the flow and select the dataset to begin transforming it. See Transform Basics.


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