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Azure Data Lake Storage Icon Azure Data Lake Storage ODBC Driver

The Azure Data Lake Storage ODBC Driver is a powerful tool that allows you to connect with live data from Azure Data Lake Storage, directly from any applications that support ODBC connectivity.

Access Azure Data Lake Storage data like you would a database - read, write, and update Azure Data Lake Storage ADLSData, etc. through a standard ODBC Driver interface.

Use the CData ODBC Driver for Azure Data Lake Storage in Microsoft Power Query



You can use the CData Azure Data Lake Storage ODBC Driver with Microsoft Power Query. In this article, you will use the ODBC driver to import Azure Data Lake Storage data into Microsoft Power Query.

The CData ODBC Driver for Azure Data Lake Storage enables you to link to Azure Data Lake Storage data in Microsoft Power Query, ensuring that you see any updates. This article details how to use the ODBC driver to import Azure Data Lake Storage data into Microsoft Power Query.

Connect to Azure Data Lake Storage as an ODBC Data Source

If you have not already, first specify connection properties in an ODBC DSN (data source name). This is the last step of the driver installation. You can use the Microsoft ODBC Data Source Administrator to create and configure ODBC DSNs.

Authenticating to a Gen 1 DataLakeStore Account

Gen 1 uses OAuth 2.0 in Azure AD for authentication.

For this, an Active Directory web application is required. You can create one as follows:

  1. Sign in to your Azure Account through the .
  2. Select "Azure Active Directory".
  3. Select "App registrations".
  4. Select "New application registration".
  5. Provide a name and URL for the application. Select Web app for the type of application you want to create.
  6. Select "Required permissions" and change the required permissions for this app. At a minimum, "Azure Data Lake" and "Windows Azure Service Management API" are required.
  7. Select "Key" and generate a new key. Add a description, a duration, and take note of the generated key. You won't be able to see it again.

To authenticate against a Gen 1 DataLakeStore account, the following properties are required:

  • Schema: Set this to ADLSGen1.
  • Account: Set this to the name of the account.
  • OAuthClientId: Set this to the application Id of the app you created.
  • OAuthClientSecret: Set this to the key generated for the app you created.
  • TenantId: Set this to the tenant Id. See the property for more information on how to acquire this.
  • Directory: Set this to the path which will be used to store the replicated file. If not specified, the root directory will be used.

Authenticating to a Gen 2 DataLakeStore Account

To authenticate against a Gen 2 DataLakeStore account, the following properties are required:

  • Schema: Set this to ADLSGen2.
  • Account: Set this to the name of the account.
  • FileSystem: Set this to the file system which will be used for this account.
  • AccessKey: Set this to the access key which will be used to authenticate the calls to the API. See the property for more information on how to acquire this.
  • Directory: Set this to the path which will be used to store the replicated file. If not specified, the root directory will be used.

Import Azure Data Lake Storage Data

Follow the steps below to import Azure Data Lake Storage data using standard SQL:

  1. From the ribbon in Excel, click Power Query -> From Other Data Sources -> From ODBC.

  2. Enter the ODBC connection string. Below is a connection string using the default DSN created when you install the driver: Provider=MSDASQL.1;Persist Security Info=False;DSN=CData ADLS Source
  3. Enter the SELECT statement to import data with. For example:

    SELECT FullPath, Permission FROM Resources WHERE Type = 'FILE'
  4. Enter credentials, if required, and click Connect. The results of the query are displayed in the Query Editor Preview. You can combine queries from other data sources or refine the data with Power Query formulas. To load the query to the worksheet, click the Close and Load button.