Dataset Details Page

Use the Dataset Details page to review a dataset's usage and to perform management tasks on it.

Imported Dataset

For datasets that have been imported into Cloud Dataprep by TRIFACTA®, you can review source location and current usage within flows to which you have access.

If the dataset is used in a flow, click the flow name to review its usage in the flow. See Flow View Page.

Figure: Imported dataset details

Actions:

  • Wrangle in New Flow: Create a new flow for your dataset and begin wrangling.
  • Preview: Review the first few rows of the dataset.
  • Add to Flow: Add imported dataset to a new or existing flow.
  • Edit name and description: Edit the name and description for the dataset.
  • Delete Dataset: Delete the dataset.

    Deleting a dataset cannot be undone.

For more information on the sources from which a dataset was created, see Flow View Page.

Reference Dataset

Figure: Reference Dataset details

Actions:

  • Add to Flow: Add the reference dataset to a new or existing flow.
  • Preview: Review a preview of the first few rows in the dataset.
  • Edit name and description: Edit the name and description for the dataset.
  • Delete Reference Dataset: Delete the reference dataset. The object on which the reference dataset is based is untouched.

    Deleting a dataset cannot be undone.

Dataset with Parameters

If your dataset was created with parameters, you can review dataset and parameter information in the details.

Figure: Dataset with Parameters details

You can review the parameters and variables that have been defined for the dataset.

Action:

  • Wrangle in new Flow: Create a new flow for your dataset and begin wrangling.
  • Preview: Review the first few rows of the dataset.
  • Add to Flow: Add imported dataset to a new or existing flow.
  • Edit name and description: Edit the name and description for the dataset.
  • Edit parameters: Modify the parameters used to create the dataset. See Create Dataset with Parameters.
  • Remove structure: Remove the initial parsing structure. When the structure is removed:
    1. The dataset is converted to an unstructured dataset. An unstructured dataset is the source data converted into a flat file format.
    2. All steps to shape the dataset are removed. You must break up columns in manual steps in any recipe created from the object. See Flow View Page.
  • Delete Dataset: Delete the dataset.

    Deleting a dataset cannot be undone.

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