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Release 8.2.1




Use the Snowflake browser to read sources stored as Snowflake database tables, or you can select or create tables to which to publish job results.
  • Your Trifacta deployment must be connected to a running instance of Snowflake.

    NOTE: Integration with Snowflake requires deployment of the Trifacta platform within a customer-managed AWS infrastructure. For more information, see Enable Snowflake Connections.

  • The Snowflake browser appears when:
    • You select the Snowflake connection to create a dataset. See Import Data Page.
    • You choose to add a publishing location in Snowflake. See Run Job Page.
    • When exporting results, you can choose to write to a Snowflake database. See Publishing Dialog.

  • For more information on interacting with Snowflake, see Using Snowflake.

Figure: Snowflake Browser

Browse Snowflake

Use the links and icons to browse for Snowflake databases, schemas, and tables. When you select a Snowflake database, you can select one of the available schema objects. Selecting a schema displays the tables that use that schema.

NOTE: Avoid using the Back button on your browser, which exits the Snowflake browser without applying changes to your configuration.


SchemaClick a schema link to display the tables that use the schema.

Click the Plus icon to select this Snowflake table as your source.

Page navigation

Use these links to navigate between pages of databases and tables.

NOTE: In some cases, subsequent pages of tables may be blank, and counts of tables may not match displayed figures. This is a known issue.


Click the links in the breadcrumb trail to navigate.

Search List

To filter the list of databases or tables, enter a string in the Search box. The filter is applied as you type and matches anywhere in the name of a currently displayed database or table name.

Preview Table Data

Database tables are displayed by name only. To preview the data in the table, click the Eye icon next to the name of the table. 

Tip: Table previews include available metadata information, such as column headers and column and row counts.

Create Dataset with SQL

As needed, you can pre-filter the selected table inside the database. By entering a custom SQL statement, you can remove unnecessary data from the dataset that is extracted from the database, which enables faster and more meaningful imports of your database data. See Create Dataset with SQL.For more information, see Enable Custom SQL Query.

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