The Azure Data Lake Storage endpoint enables Automate MFT to connect to Azure Data Lake Storage and perform file transfer operations using a hierarchical file system. Azure Data Lake Storage provides a structured, directory-based model that is optimized for large-scale data processing and analytics workloads.

Create an Azure Data Lake Storage endpoint

To add a new Azure Data Lake Storage endpoint:
  1. Click the Libraries drop-down menu and select Endpoints.
  2. Click the Add Endpoints drop-down menu and select Azure Data Lake Storage.
  3. The New Azure Data Lake Storage Endpoint dialog appears.

General

Enter basic endpoint details:
  • Name: Provide a unique name for the endpoint.
  • Description: Optionally, enter a description to help identify the purpose or scope of this endpoint.
  • Account Name: Enter the name of your Azure Data Lake storage account.

    The account name is part of the Azure storage endpoint and is typically used in the service URL in the following format: https://<account-name>.dfs.core.windows.net

  • Container Name: Specify the name of the container you want to connect to.
  • Authentication Method: Select a valid Authentication Method from the authentication method library, or to add a new Authentication Method, click Add New. For more information, see Azure Data Lake Storage authentication method.

Connection

Configure connection parameters:
  • Use TLS: Use TLS is enabled by default, clear the check box to disable if necessary.

Retry

Define retry behavior:
  • Retry Count: Number of extra times that a transfer is retried.
  • Retry Delay: The time between each retry.
  • Use the time unit drop-down menu to select a time measurement for the retry delay.

Save the endpoint

Click Save to create the endpoint.