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Import SQL Analysis Services Data into the Power BI Service for Visualizations

Use the CData Cloud Hub to create an OData feed for SQL Analysis Services and create custom reports in the Power BI Service.

Power BI transforms your company's data into rich visuals for you to collect and organize so you can focus on what matters to you. When paired with the CData Cloud Hub, you get access to SQL Analysis Services data for visualizations, dashboards, and more. This article shows how to use the CData Cloud Hub to generate an OData feed for SQL Analysis Services, import SQL Analysis Services data into Power BI and then create reports on SQL Analysis Services data in the Power BI service.

NOTE: You can also use the on-premise data gateway and the SQL interface in Cloud Hub to connect to SQL Analysis Services data in real-time (instead of importing the data). Read how in the related Knowledge Base article.

Create a Virtual SQL Database for SQL Analysis Services Data

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

  1. Login to Cloud Hub and click Databases.
  2. Select "SQL Analysis Services" from Available Data Sources.
  3. Enter the necessary authentication properties to connect to SQL Analysis Services.

    To connect, provide authentication and set the Url property to a valid SQL Server Analysis Services endpoint. You can connect to SQL Server Analysis Services instances hosted over HTTP with XMLA access. See the Microsoft documentation to configure HTTP access to SQL Server Analysis Services.

    To secure connections and authenticate, set the corresponding connection properties, below. The data provider supports the major authentication schemes, including HTTP and Windows, as well as SSL/TLS.

    • HTTP Authentication

      Set AuthScheme to "Basic" or "Digest" and set User and Password. Specify other authentication values in CustomHeaders.

    • Windows (NTLM)

      Set the Windows User and Password and set AuthScheme to "NTLM".

    • Kerberos and Kerberos Delegation

      To authenticate with Kerberos, set AuthScheme to NEGOTIATE. To use Kerberos delegation, set AuthScheme to KERBEROSDELEGATION. If needed, provide the User, Password, and KerberosSPN. By default, the data provider attempts to communicate with the SPN at the specified Url.

    • SSL/TLS:

      By default, the data provider attempts to negotiate SSL/TLS by checking the server's certificate against the system's trusted certificate store. To specify another certificate, see the SSLServerCert property for the available formats.

    You can then access any cube as a relational table: When you connect the data provider retrieves SSAS metadata and dynamically updates the table schemas. Instead of retrieving metadata every connection, you can set the CacheLocation property to automatically cache to a simple file-based store.

    See the Getting Started section of the CData documentation, under Retrieving Analysis Services Data, to execute SQL-92 queries to the cubes.

  4. Click Test Database.
  5. Click Privileges -> Add and add the new user (or an existing user) with the appropriate permissions.

Connecting to the Cloud Hub from Power BI

To import and visualize your SQL Analysis Services data in the Power BI service, add a Cloud Hub API user, add SQL Analysis Services OData endpoints in the Cloud Hub, and create & publish a dataset from Power BI Desktop to the service.

Add a Cloud Hub User

Create a User to connect to SQL Analysis Services from Power BI through Cloud Hub.

  1. Click Users -> Add
  2. Configure a User.
  3. Click Save Changes and make note of the Authtoken for the new user.
  4. Click Database and select the SQL Analysis Services virtual database.
  5. On the Privileges tab, add the newly created user (with at least SELECT permissions) and click Save Changes.

Add SQL Analysis Services OData Endpoints in Cloud Hub

After connecting to SQL Analysis Services, create OData Endpoints for the desired table(s).

  1. Click OData -> Tables -> Add Tables.
  2. Select the SQL Analysis Services database.
  3. Select the table(s) you wish to work with and click Next.
  4. (Optional) Edit the table definition to select specific fields and more.
  5. Save the settings.

Publish a Dataset from Power BI Desktop

With OData endpoints added to the Cloud Hub, you can create a dataset in Power BI descktop using OData connectivity and publish the dataset to the Power BI service.

  1. Open Power BI, click Get Data -> More, then select OData feed, and click Connect.
  2. Set URL to the Base URL of your Cloud Hub instance (e.g.: https://www.cdatacloud.net/myinstance/api.rsc) and click OK.
  3. Set User name and Password to user name and Authtoken from above.
  4. Select the full Base URL (https://www.cdatacloud.net/myinstance/api.rsc) as the level to apply the settings to/
  5. Select the table(s) to visualize in the Navigator dialog.
  6. Click Load to pull the data into Power BI.
  7. Define any relationships between the selected entities on the Relationships tab.
  8. Click Publish (from the Home menu) and select a Workspace.

Build Reports and Dashboards on SQL Analysis Services Data in the Power BI Service

Now that you have published a dataset to the Power BI service, you can create new reports and dashboards based on the published data:

  1. Log in to PowerBI.com.
  2. Click Workspaces and select a workspace.
  3. Click Create and select Report.
  4. Select the published dataset for the report.
  5. Choose fields and visualizations to add to your report.

SQL Access to SQL Analysis Services Data from Cloud Applications

Now you have a direct connection to live SQL Analysis Services data from the Power BI service. You can create more data sources and new visualizations, build reports, and more — all without replicating SQL Analysis Services data.

To get SQL data access to 100+ SaaS, Big Data, and NoSQL sources directly from your cloud applications, see the CData Cloud Hub.