Library Page

In the Library page, you can review your imported and reference datasets. You can only see datasets to which you have access in your currently selected project.

Figure: Library Page

To create a new imported dataset, click Import Data. See Import Data Page.

Filter by type:

Click one of the pre-defined filters to show datasets of the following types:

  • All Objects: All imported datasets or references available to the current user.
  • Imported Datasets: Datasets that you have imported into Cloud Dataprep by TRIFACTA┬«.
    • The Source column indicates where the original source data is located.
  • References: Objects that you have created from your recipes that can be referenced in another flow as a dataset.

Filter by ownership:

For the selected object type, you can filter based on the ownership of the object:

  • All: All objects of the selected type to which you have access.
  • Owned by me: All objects of the selected type that you own.
  • Shared with me: All objects of the type that have been shared with you.
Columns:

  • Name: Name of the object.
  • In Flows: Count of flows in which the object is in use.
  • Source: Flow or datastore where the object is located.
  • Last Updated: Timestamp of the last time that the object was modified.

Actions:

  • Browse: If displayed, use the page browsing controls to explore the available objects.
  • Search: To search object names, enter a string in the search bar. Results are highlighted immediately in the Library page.
  • Sort: Click a column header to sort the display by the column's entries.

Object Actions:

Hover over an object to reveal these actions on the right side of the screen.

  • Details: Review details about the dataset. See Dataset Details Page.
  • Preview: Inspect a preview of the dataset.

    NOTE: Preview is not available for binary format sources.

  • Wrangle in New Flow: (Imported dataset only) You can create a new flow and begin immediately wrangling the dataset. This step also creates a recipe in the flow.
  • Add to Flow: Add the dataset to a new or existing flow.
  • Edit name and description: Change the name and description of the dataset.
  • Delete Dataset: Delete the dataset.

    Deleting a dataset cannot be undone.

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Google Cloud Dataprep Documentation