Create Reports from Power BI XMLA Data in Looker Studio

Looker Studio, formerly known as Google Data Studio, empowers users to craft customized reports featuring data visualizations that can be shared with clients while reflecting your brand identity. When combined with CData Connect AI, you gain immediate cloud-to-cloud access to Power BI XMLA data to create visualizations, dashboards, and more. This article provides step-by-step instructions on establishing a virtual database for Power BI XMLA and generating reports from Power BI XMLA data within Looker Studio.

CData Connect AI offers a seamless cloud-to-cloud interface tailored for Power BI XMLA, making it straightforward to construct reports directly from live Power BI XMLA data within Looker Studio without the need for data replication. As you create visualizations, Looker Studio generates queries to retrieve data. With its inherent optimized data processing capabilities, CData Connect AI efficiently channels all supported query operations, including filters, JOINs, and more, directly to Power BI XMLA. This leverages server-side processing to swiftly provide the requested Power BI XMLA data.

Configure Power BI XMLA Connectivity for Looker Studio

Connectivity to Power BI XMLA from Looker Studio is made possible through CData Connect AI. To work with Power BI XMLA data from Looker Studio, we start by creating and configuring a Power BI XMLA connection.

1. Log into Connect AI, click Sources, and then click Add Connection
👁 Adding a Connection

2. Select "Power BI XMLA" from the Add Connection panel
👁 Selecting a data source

3. Enter the necessary authentication properties to connect to Power BI XMLA.

   By default, use Entra ID (formerly Azure AD) to connect to Microsoft Power BI XMLA. Entra ID (formerly Azure AD) is Microsoft's multi-tenant, cloud-based directory and identity management service. It is user-based authentication that requires that you set AuthScheme to EntraID (formerly AzureAD).

   For more information on other authentication schemes, refer to the Help documentation.

   👁 Configuring a connection (Salesforce is shown)
   
4. Click Save & Test
5. Navigate to the Permissions tab in the Add Power BI XMLA Connection page and update the User-based permissions. 👁 Updating permissions
   

With the connection configured, you are ready to connect to Power BI XMLA data from Looker Studio.

Visualize Live Power BI XMLA Data from Looker Studio

The steps below outline connecting to CData Connect AI from Looker Studio to create a new Power BI XMLA data source and build a simple visualization from the data.

1. Log into Looker Studio, click data sources, create a new data source, and choose CData Connect AI Connector.
👁 Create a new connection in Looker Studio

2. Click Authorize and allow access to your Google account. 👁 Granting permissions to the Connector
   
3. Click Authorize to authenticate with your CData Connect AI instance 👁 Authenticating with CData Connect AI
   
4. In the CData Connect AI Connector in Looker Studio select Connections to import from the dropdown and click Next
👁 Importing from Connections

5. Now select a Connection (e.g. PowerBIXMLA1) and click Next 👁 Selecting a Connection
   
6. Select a Table (e.g. Customer) or use a Custom Query and click Connect to continue 👁 Selecting a Table
   
7. If needed, modify columns, click Create Report, and add the data source to the report.
👁 Configuring column definitions

8. Select a visualization style and add it to the report.
9. Select Dimensions and Measures to customize your visualization.
👁 Visualizing Power BI XMLA data in Looker Studio

Live Access to Power BI XMLA Data from Cloud Applications

Now you have a direct, cloud-to-cloud connection to live Power BI XMLA data from your Looker Studio workbook. You can create more data sources and new visualizations, build reports, and more — all without replicating Power BI XMLA data.

Try CData Connect AI and get real-time data access to hundreds of SaaS, Big Data, and NoSQL sources directly from your cloud applications.