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Try them now for free →Consume BigQuery OData Feeds in SAP Lumira
Use the API Server to create data visualizations on BigQuery feeds that reflect any changes in SAP Lumira.
You can use the CData API Server to create data visualizations based on BigQuery data in SAP Lumira. The API Server enables connectivity to live data: dashboards and reports can be refreshed on demand. This article shows how to create a chart that is always up to date.
About BigQuery Data Integration
CData simplifies access and integration of live Google BigQuery data. Our customers leverage CData connectivity to:
- Simplify access to BigQuery with broad out-of-the-box support for authentication schemes, including OAuth, OAuth JWT, and GCP Instance.
- Enhance data workflows with Bi-directional data access between BigQuery and other applications.
- Perform key BigQuery actions like starting, retrieving, and canceling jobs; deleting tables; or insert job loads through SQL stored procedures.
Most CData customers are using Google BigQuery as their data warehouse and so use CData solutions to migrate business data from separate sources into BigQuery for comprehensive analytics. Other customers use our connectivity to analyze and report on their Google BigQuery data, with many customers using both solutions.
For more details on how CData enhances your Google BigQuery experience, check out our blog post: https://www.cdata.com/blog/what-is-bigquery
Getting Started
Set Up the API Server
If you have not already done so, download the CData API Server. Once you have installed the API Server, follow the steps below to begin producing secure BigQuery OData services:
Connect to BigQuery
To work with BigQuery data from SAP Lumira, we start by creating and configuring a BigQuery connection. Follow the steps below to configure the API Server to connect to BigQuery data:
- First, navigate to the Connections page.
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Click Add Connection and then search for and select the BigQuery connection.
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Enter the necessary authentication properties to connect to BigQuery.
Google uses the OAuth authentication standard. To access Google APIs on behalf of individual users, you can use the embedded credentials or you can register your own OAuth app.
OAuth also enables you to use a service account to connect on behalf of users in a Google Apps domain. To authenticate with a service account, register an application to obtain the OAuth JWT values.
In addition to the OAuth values, specify the DatasetId and ProjectId. See the "Getting Started" chapter of the help documentation for a guide to using OAuth.
- After configuring the connection, click Save & Test to confirm a successful connection.
Configure API Server Users
Next, create a user to access your BigQuery data through the API Server. You can add and configure users on the Users page. Follow the steps below to configure and create a user:
- On the Users page, click Add User to open the Add User dialog.
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Next, set the Role, Username, and Privileges properties and then click Add User.
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An Authtoken is then generated for the user. You can find the Authtoken and other information for each user on the Users page:
Creating API Endpoints for BigQuery
Having created a user, you are ready to create API endpoints for the BigQuery tables:
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First, navigate to the API page and then click
Add Table
.
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Select the connection you wish to access and click Next.
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With the connection selected, create endpoints by selecting each table and then clicking Confirm.
Gather the OData Url
Having configured a connection to BigQuery data, created a user, and added resources to the API Server, you now have an easily accessible REST API based on the OData protocol for those resources. From the API page in API Server, you can view and copy the API Endpoints for the API:

Connect to BigQuery from SAP Lumira
Follow the steps below to retrieve BigQuery data into SAP Lumira. You can execute an SQL query or use the UI.
- In SAP Lumira, click File -> New -> Query with SQL. The Add New Dataset dialog is displayed.
- Expand the Generic section and click the Generic OData 2.0 Connector option.
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In the Service Root URI box, enter the OData endpoint of the API Server. This URL will resemble the following:
https://your-server:8080/api.rsc
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In the User Name and Password boxes, enter the username and authtoken of an API user. These credentials will be used in HTTP Basic authentication.
Select entities in the tree or enter an SQL query. This article imports BigQuery Orders entities.
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When you click Connect, SAP Lumira will generate the corresponding OData request and load the results into memory. You can then use any of the data processing tools available in SAP Lumira, such as filters, aggregates, and summary functions.
Create Data Visualizations
After you have imported the data, you can create data visualizations in the Visualize room. Follow the steps below to create a basic chart.
In the Measures and Dimensions pane, drag measures and dimensions onto the x-axis and y-axis fields in the Visualization Tools pane. SAP Lumira automatically detects dimensions and measures from the metadata service of the API Server.
By default, the SUM function is applied to all measures. Click the gear icon next to a measure to change the default summary.
- In the Visualization Tools pane, select the chart type.
- In the Chart Canvas pane, apply filters, sort by measures, add rankings, and update the chart with the current BigQuery data.