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          Export Events from a Personalization Dataset

          Export Events from a Personalization Dataset

          You can export the events in a Personalization dataset to a CSV or JSON file. Events are the rows that appear in the event stream. Each event can have an action and several custom fields associated with it. You can use the exported file to analyze how fields are associated with one another, and to find statistical trends. You can adjust the time period for the export to get the specific data you need.

          Required Editions

          Permissions Needed
          To export a dataset: A role with Configure Dataset permissions
          Note
          Note This process is for data sampling on an as-needed basis. If you want to export large amounts of data regularly, contact your Salesforce representative for more information about the Personalization Data Warehouse solution.
          1. Click the avatar icon (Personalization Avatar Icon) in the upper right corner of Personalization.
            Alternatively, click the dataset selector.
          2. From the resulting dropdown menu, select Manage Datasets.
          3. Click the Export Events icon (Personalization Export Icon) for the desired dataset.
          4. Select the options you want in the Export Events dialog.
            Option Description
            Start Start date for the events you want to export.
            End End date for the events you want to export.
            User Filter Filter to export only events associated with specified user or account IDs.
            Limit Number of events you want to export. The default value is 1000 events.
            Separator Separator value used when exporting events in CSV format. The default value is a comma.
            Quote Char Quote character used when exporting events in CSV format. The default is double straight quotes.
            Fields Filter to include only specified fields. If left blank, all fields are exported.
            Include Formatted Date and Time checkbox Include a timestamp next to each event.
          5. Click OK.
           
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