Author Power BI Reports on Real-Time Google Cloud Storage Data

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Google Cloud Storage Power BI Connector

The fastest and easiest way to connect Power BI to Google Cloud Storage data. Includes comprehensive high-performance data access, real-time integration, extensive metadata discovery, and robust SQL-92 support.



Use the CData Power BI Connector for Google Cloud Storage to visualize Google Cloud Storage data in Power BI.

CData Power BI Connectors provide self-service integration with Microsoft Power BI. The CData Power BI Connector for Google Cloud Storage links your Power BI reports to real-time Google Cloud Storage data. You can monitor Google Cloud Storage data through dashboards and ensure that your analysis reflects Google Cloud Storage data in real time by scheduling refreshes or refreshing on demand. This article details how to use the Power BI Connector to create real-time visualizations of Google Cloud Storage data in Microsoft Power BI Desktop.

If you are interested in publishing reports on Google Cloud Storage data to PowerBI.com, refer to our other Knowledge Base article.

Collaborative Query Processing

The CData Power BI Connectors offer unmatched performance for interacting with live Google Cloud Storage data in Power BI due to optimized data processing built into the connector. When you issue complex SQL queries from Power BI to Google Cloud Storage, the connector pushes supported SQL operations, like filters and aggregations, directly to Google Cloud Storage and utilizes the embedded SQL Engine to process unsupported operations (often SQL functions and JOIN operations) client-side. With built-in dynamic metadata querying, you can visualize and analyze Google Cloud Storage data using native Power BI data types.

Connect to Google Cloud Storage as a Power BI Data Source

Installing the Power BI Connector creates a DSN (data source name) called CData Power BI Google Cloud Storage. This the name of the DSN that Power BI uses to request a connection to the data source. Configure the DSN by filling in the required connection properties.

You can use the Microsoft ODBC Data Source Administrator to create and configure the DSN: From the Start menu, enter "ODBC Data Sources" and select the CData PowerBI REST DSN. Ensure that you run the version of the ODBC Administrator that corresponds to the bitness of your Power BI Desktop installation (32-bit or 64-bit). You can also use run the ConfigureODBC.exe tool located in the installation folder for the connector.

Authenticate with a User Account

You can connect without setting any connection properties for your user credentials. After setting InitiateOAuth to GETANDREFRESH, you are ready to connect.

When you connect, the Google Cloud Storage OAuth endpoint opens in your default browser. Log in and grant permissions, then the OAuth process completes

Authenticate with a Service Account

Service accounts have silent authentication, without user authentication in the browser. You can also use a service account to delegate enterprise-wide access scopes.

You need to create an OAuth application in this flow. See the Help documentation for more information. After setting the following connection properties, you are ready to connect:

  • InitiateOAuth: Set this to GETANDREFRESH.
  • OAuthJWTCertType: Set this to "PFXFILE".
  • OAuthJWTCert: Set this to the path to the .p12 file you generated.
  • OAuthJWTCertPassword: Set this to the password of the .p12 file.
  • OAuthJWTCertSubject: Set this to "*" to pick the first certificate in the certificate store.
  • OAuthJWTIssuer: In the service accounts section, click Manage Service Accounts and set this field to the email address displayed in the service account Id field.
  • OAuthJWTSubject: Set this to your enterprise Id if your subject type is set to "enterprise" or your app user Id if your subject type is set to "user".
  • ProjectId: Set this to the Id of the project you want to connect to.

The OAuth flow for a service account then completes.

Query Google Cloud Storage Tables

Follow the steps below to build a query to pull Google Cloud Storage data into the report:

  1. Open Power BI Desktop and click Get Data -> Other -> CData GoogleCloudStorage.
  2. Select CData PowerBI Google Cloud Storage in the Data Source Name menu and select a data connectivity mode:
    Select Import if you want to import a copy of the data into your project. You can refresh this data on demand.
    Select DirectQuery if you want to work with the remote data.
  3. Select tables in the Navigator dialog.
  4. In the Query Editor, you can customize your dataset by filtering, sorting, and summarizing Google Cloud Storage columns. Click Edit to open the query editor. Right-click a row to filter the rows. Right-click a column header to perform actions like the following:

    • Change column data types
    • Remove a column
    • Group by columns

    Power BI detects each column's data type from the Google Cloud Storage metadata retrieved by the connector.

    Power BI records your modifications to the query in the Applied Steps section, adjusting the underlying data retrieval query that is executed to the remote Google Cloud Storage data. When you click Close and Apply, Power BI executes the data retrieval query.

    Otherwise, click Load to pull the data into Power BI.

Create Data Visualizations

After pulling the data into Power BI, you can create data visualizations in the Report view by dragging fields from the Fields pane onto the canvas. Follow the steps below to create a pie chart:

  1. Select the pie chart icon in the Visualizations pane.
  2. Select a dimension in the Fields pane: for example, Name.
  3. Select a measure in the Fields pane: for example, OwnerId.

You can change sort options by clicking the ellipsis (...) button for the chart. Options to select the sort column and change the sort order are displayed.

You can use both highlighting and filtering to focus on data. Filtering removes unfocused data from visualizations; highlighting dims unfocused data. You can highlight fields by clicking them:

You can apply filters at the page level, at the report level, or to a single visualization by dragging fields onto the Filters pane. To filter on the field's value, select one of the values that are displayed in the Filters pane.

Click Refresh to synchronize your report with any changes to the data.

At this point, you will have a Power BI report built on top of live Google Cloud Storage data. Learn more about the CData Power BI Connectors for Google Cloud Storage and download a free trial from the Google Cloud Storage Power BI Connector page. Let our Support Team know if you have any questions.