Ready to get started?

Learn more or sign up for a free trial:

CData Connect Server

Use the Connect Server to Access Azure Data Lake Storage Data in Microsoft Power Pivot



Use the Connect Server to connect to live Azure Data Lake Storage data in the Power Pivot business intelligence tool.

This article will explain how to use the Connect Server to provide Azure Data Lake Storage data as OData services and then consume the data in Microsoft Excel's Power Pivot business intelligence tool. Follow the steps below to retrieve Azure Data Lake Storage data in Power Pivot.

Connect to Azure Data Lake Storage from Power Pivot

To work with live Azure Data Lake Storage data in Power Pivot, we need to connect to Azure Data Lake Storage from Connect Server, provide user access to the new virtual database, and create OData endpoints for the Azure Data Lake Storage data.

Add a Connect Server User

Create a User to connect to Azure Data Lake Storage from Power Pivot through Connect Server.

  1. Click Users -> Add
  2. Configure a User
  3. Click Save Changes and make note of the Authtoken for the new user

Connect to Azure Data Lake Storage from Connect Server

CData Connect Server uses a straightforward, point-and-click interface to connect to data sources and generate APIs.

  1. Open Connect Server and click Connections
  2. Select "Azure Data Lake Storage" from Available Data Sources
  3. Enter the necessary authentication properties to connect to Azure Data Lake Storage.

    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.
  4. Click Save Changes
  5. Click Privileges -> Add and add the new user (or an existing user) with the appropriate permissions (SELECT is all that is required for Reveal).

Add Azure Data Lake Storage OData Endpoints in Connect Server

After connecting to Azure Data Lake Storage, create OData Endpoints for the desired table(s).

  1. Click OData -> Tables -> Add Tables
  2. Select the Azure Data Lake Storage database
  3. Select the table(s) you wish to work with and click Next
  4. (Optional) Edit the resource to select specific fields and more
  5. Save the settings

(Optional) Configure Cross-Origin Resource Sharing (CORS)

When accessing and connecting to multiple domains from an application, there is a possibility of violating the limitations of cross-site scripting. In that case, configure the CORS settings in OData -> Settings.

  • Enable cross-origin resource sharing (CORS): ON
  • Allow all domains without '*': ON
  • Access-Control-Allow-Methods: GET, PUT, POST, OPTIONS
  • Access-Control-Allow-Headers: Authorization

Save the changes to the settings.

Import Azure Data Lake Storage Tables in Power Pivot

Follow the steps below to import tables that can be refreshed on demand:

  1. In Excel, click Data -> Get Data -> From Other Sources -> From OData Feed
  2. Fill out the OData feed URL (e.g. http://localhost:8080/odata.rsc)
  3. On the next screen, select Basic and configure the username and password. Password should be your auth token.
  4. Select the tables that you would like to import into Excel

  5. After selecting your table(s) and clicking Load, you should see the data appear in an Excel spreadsheet

  6. Now, click the Power Pivot tab on the ribbon, and then select Add to Data Model. This can now work with your Azure Data Lake Storage data in Power Pivot.

Free Trial & More Information

If you are interested in connecting to your Azure Data Lake Storage data (or data from any of our other supported data sources) from Power Pivot, sign up for a free trial of CData Connect Server today! For more information on Connect Server and to see what other data sources we support, refer to our CData Connect page.