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 Designer Cloud Educational.

• 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.

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.

• Make a copy: Create a copy of the imported dataset. This option is not available for reference datasets. 

• Edit name and description: Change the name and description of the dataset.

• Edit data settings: If the source of the imported dataset required conversion to an internally supported format, you can modify settings related to that conversion process. For more information, see File Import Settings.

  Tip: This setting applies primarily to binary file formats, such as PDF and Excel, or file formats that may require additional steps to convert into tabular data, such as JSON.

• Delete Dataset: Delete the dataset.

  Deleting a dataset cannot be undone.