On April 28, 2021, Google is changing the required permissions for attaching IAM roles to service accounts. If you are using IAM roles for your Google service accounts, please see Changes to User Management.
Use the Salesforce browser to read sources stored as Salesforce database tables. Publishing to Salesforce is not supported.
Your Trifacta workspace must be connected to Salesforce. For more information, see Create Salesforce Connections.
- The Salesforce browser appears when you select the Salesforce connection to create a dataset. See Import Data Page.
- For more information on interacting with Salesforce, see Using Salesforce.
Use the links and icons to browse for Salesforce databases and tables. When you select a database, you can select one of the available database objects.
NOTE: Avoid using the Back button on your browser, which exits the Salesforce browser without applying changes to your configuration.
|Database||Click a database link to display its tables.|
Click the Plus icon to select this Salesforce table as your source.
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.
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.
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