Cover the Insights External Data object for status updates, and also corroborate that the train upload was successful.

To set up access to source data, produce a connection. When you produce a connection, select objects and columns to pull data from. You can add a sludge to the connection to prize a subset of all rows. In the connection parcels, you also specify a stoner account that determines what data the connection can pierce. For illustration, to pierce data in Amazon S3, specify an Amazon S3 stoner account. However, the connection ca n’t pull data from that object, If the stoner account does n’t have access to an object.

After you produce a Certified-Tableau-CRM-and-Einstein-Discovery-Consultant connection, run its data sync to prize the data from each named object in the data source and store it in the corresponding CRM Analytics connected object. After you run a data sync for the first time, you can add the connected objects as sources for fashions. In data fix, you can add metamorphoses to prepare the data in the connected objects and affair the results into datasets.

Run the form to produce datasets. Continue to run them to refresh the data. You can run data sync and fashions on demand. You can also record them to run on an ongoing base. To insure that your fashions use the rearmost data, schedule data sync jobs to complete ahead dependent fashions run.

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