Use the API Server and Azure Data Lake Storage ADO.NET Provider to Access Azure Data Lake Storage Data in Microsoft PowerPivot

This article will explain how to use the API Server and the ADO.NET Provider for Azure Data Lake Storage (or any of 200+ other ADO.NET Providers) to provide Azure Data Lake Storage data as OData services and then consume the data in Microsoft Excel's PowerPivot business intelligence tool. Follow the steps below to retrieve Azure Data Lake Storage data in Power Pivot.

Set Up the API Server

Follow the steps below to begin producing secure Azure Data Lake Storage OData services:

Deploy

The API Server runs on your own server. On Windows, you can deploy using the stand-alone server or IIS. On a Java servlet container, drop in the API Server WAR file. See the help documentation for more information and how-tos.

The API Server is also easy to deploy on Microsoft Azure, Amazon EC2, and Heroku.

Connect to Azure Data Lake Storage

After you deploy the API Server and the ADO.NET Provider for Azure Data Lake Storage, provide authentication values and other connection properties needed to connect to Azure Data Lake Storage by clicking Settings -> Connections and adding a new connection in the API Server administration console.

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.

You can then choose the Azure Data Lake Storage entities you want to allow the API Server access to by clicking Settings -> Resources.

Additionally, click Settings -> Server and set the Default Format to XML (Atom) for compatibility with Excel.

Authorize API Server Users

After determining the OData services you want to produce, authorize users by clicking Settings -> Users. The API Server uses authtoken-based authentication and supports the major authentication schemes. Access can also be restricted based on IP address; by default, only connections to the local machine are allowed. You can authenticate as well as encrypt connections with SSL.

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 the PowerPivot Window icon in the PowerPivot tab to open PowerPivot.
2. Click Home -> Get External Data -> From Data Service -> From OData Data Feed.

3. Add authentication parameters. Click Advanced and set the Integrated Security option to Basic. You will need to enter the User Id and Password of a user who has access to the CData API Server. Set the password to the user's authtoken.

4. In the Base URL box, enter the OData URL of the CData API Server. For example, http://localhost:8032/api.rsc.

   

5. Select which tables you want to import and click Finish.

   

You can now work with Azure Data Lake Storage data in Power Pivot.