This article explains the workflow required to export datasets from Adobe Experience Platform to your preferred cloud storage location, such as Amazon S3, SFTP locations, or Google Cloud Storage by using the Experience Platform UI.
You can also use the Experience Platform APIs to export datasets. Read the export datasets API tutorial for more information.
Currently, you can export datasets to the cloud storage destinations highlighted in the screenshot and listed below.
Some file-based destinations in the Experience Platform catalog support both segment activation and dataset export.
This document contains all the information necessary to export datasets. If you want to activate segments to cloud storage or email marketing destinations, read Activate audience data to batch profile export destinations.
To export datasets to cloud storage destinations, you must have successfully connected to a destination. If you haven’t done so already, go to the destinations catalog, browse the supported destinations, and configure the destination that you want to use.
To export datasets, you need the Manage Destinations, View Destinations, Activate Destinations, and Manage and Activate Dataset Destinations access control permissions. Read the access control overview or contact your product administrator to obtain the required permissions.
To ensure that you have the necessary permissions to export datasets and that the destination supports exporting datasets, browse the destinations catalog. If a destination has an Activate or an Export datasets control, then you have the appropriate permissions.
Follow the instructions to select a destination where you can export your datasets:
Go to Connections > Destinations, and select the Catalog tab.
Select Activate or Export datasets on the card corresponding to the destination that you want to export datasets to.
Select Data type Datasets and select the destination connection that you want to export datasets to, then select Next.
If you want to set up a new destination to export datasets, select Configure new destination to trigger the Connect to destination workflow.
Use the check boxes to the left of the dataset names to select the datasets that you want to export to the destination, then select Next.
In the Scheduling step, you can set a start date as well as an export cadence for your dataset exports.
The Export incremental files option is automatically selected. This triggers an export where the first file is a full snapshot of the dataset and subsequent files are incremental additions to the dataset since the previous export.
The first exported incremental file includes all existing data in the dataset, functioning as a backfill.
Use the Frequency selector to select the export frequency:
Use the Time selector to choose the time of day, in UTC format, when the export should take place.
Use the Date selector to choose the interval when the export should take place. Note that in the beta version of the feature, it is not possible to set an end date for the exports. For more information, view the known limitations section.
Select Next to save the schedule and proceed to the Review step.
For dataset exports, the file names have a preset, default format, which cannot be modified. See the section Verify successful dataset export for more information and examples of exported files.
On the Review page, you can see a summary of your selection. Select Cancel to break up the flow, Back to modify your settings, or Finish to confirm your selection and start exporting datasets to the destination.
When exporting datasets, Experience Platform creates a .json
or .parquet
file in the storage location that you provided. Expect a new file to be deposited in your storage location according to the export schedule you provided.
Experience Platform creates a folder structure in the storage location you specified, where it deposits the exported dataset files. A new folder is created for each export time, following the pattern below:
folder-name-you-provided/datasetID/exportTime=YYYYMMDDHHMM
The default file name is randomly generated and ensures that exported file names are unique.
The presence of these files in your storage location is confirmation of a successful export. To understand how the exported files are structured, you can download a sample .parquet file or .json file.
To remove a dataset from an existing dataflow, follow the steps below:
Log in to the Experience Platform UI and select Destinations from the left navigation bar. Select Browse from the top header to view your existing destination dataflows.
Select the filter icon on the top left to launch the sort panel. The sort panel provides a list of all your destinations. You can select more than one destination from the list to see a filtered selection of dataflows associated with the selected destination.
From the Activation data column, select the datasets control to view all datasets mapped to this export dataflow.
The Activation data page for the destination appears. Select Remove dataset in the right rail to trigger the remove dataset confirmation dialog.
In the confirmation dialog, select Remove to immediately remove the dataset from exports to the destination.
Keep in mind the following limitations for the beta release of dataset exports: