Export data to Azure Data Lake Storage Gen2 (preview)

[This article is prerelease documentation and is subject to change.]

Store your data from Dynamics 365 Customer Insights - Data in a Data Lake Storage Gen2 account or use it to transfer your data to other applications.

Tip

Azure Synapse Link for Dataverse is a generally available service that offers seamless, continuous replication of data from Microsoft Dataverse to Azure Data Lake. We recommend that you use Azure Synapse Link for Dataverse instead of Customer Insights data-out exports for further data processing of the tables generated by Customer Insights like:

  • Unified customer profiles (msdynci_customerprofile)
  • Unified activities (msdynci_unifiedactivity)
  • Segment membership (msdynci_segmentmembership)
  • Customer attribute measures (msdynci_customermeasure)
  • Enrichment data (msdynci_enrichment)
  • Prediction model output (msdynci_prediction)

For more information on table schemas, see Tables in Customer Insights - Data

Prerequisites

Known limitations

Set up connection to Azure Data Lake Storage Gen2

You must be an administrator in Customer Insights to add a connection.

  1. Go to Settings > Connections.

  2. Select Add connection and choose Azure Data Lake Gen 2.

  3. Give your connection a recognizable name in the Display name field. The name and the type of the connection describe this connection. We recommend choosing a name that explains the purpose and target of the connection.

  4. Choose who can use this connection. By default, it's only administrators. For more information, see Allow contributors to use a connection for exports.

  5. Enter Subscription, Resource group, Storage account, and Container for your Azure Data Lake Storage Gen2.

  6. Review the data privacy and compliance and select I agree.

  7. Select Save to complete the connection.

Configure an export

To configure this export, you must have permission for this connection type.

  1. Go to Data > Exports.

  2. Select Add export.

  3. In the Connection for export field, choose a connection from the Azure Data Lake section. Contact an administrator if no connection is available.

  4. Enter a name for the export.

  5. Enter the folder name for the Azure Data Lake Storage Gen2 storage.

  6. Select the box next to each of the tables you want to export to this destination.

  7. Select Save.

Saving an export doesn't run the export immediately. The export runs with every scheduled refresh. You can also export data on demand.

Exported data is stored in the Azure Data Lake Gen 2 storage container you configured.

Tip

Export of tables that contain a large amount of data can lead to multiple CSV files in the same folder for each export. Splitting exports happens for performance reasons to minimize the time it takes for an export to complete.