Access Live BigQuery Data in SAS JMP via ODBC

You can use the CData ODBC Driver for Google BigQuery to integrate live data into your statistical analysis with SAS JMP. The driver proxies your queries directly to the BigQuery API, ensuring that your analysis reflects any changes to the data. The CData ODBC Driver supports the standard SQL used by JMP in the background as you design reports.

The BigQuery API supports bidirectional access. This article shows how to access BigQuery data into a report and create data visualization. It also shows how to use SQL to query and manipulate BigQuery data from the JMP Query Builder.

Getting Started

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Access BigQuery Data as an ODBC Data Source

If you have not already, first specify connection properties in an ODBC DSN (data source name). This is the last step of the driver installation. You can use the Microsoft ODBC Data Source Administrator to create and configure ODBC DSNs.

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.

When you configure the DSN, you may also want to set the Max Rows connection property. This will limit the number of rows returned, which is especially helpful for improving performance when designing reports and visualizations.

Import BigQuery Data with the Query Builder

After you have created the BigQuery DSN, you can use SQL to invoke the capabilities of the BigQuery API. Follow the steps below to execute some supported queries in the Query Builder:

1. In SAS JMP, click File -> Database -> Query Builder. The Select Database Connection dialog is displayed.
2. Click New Connection.
3. On the Machine Data Source tab, select the ODBC DSN you configured and then click Next. 👁 Select the ODBC DSN you configured. (Salesforce is shown.)
   
4. The Select Tables for Query dialog is displayed and in the Available Tables section, select a table and click Primary. After choosing the primary table, click Build Query to open the Query Builder. 👁 Select the Primary table for the Query. (Salesforce is shown.)
   
5. As you drag Available Columns to the Included Columns tab, the underlying SQL query is updated and you can view the generated SQL Query in the SQL tab. 👁 The generated query in the Query Builder. (Salesforce is shown.)
   
6. Click Run Query to display the data. 👁 The results of a query in the Query Builder. (Salesforce is shown.)
   
7. To refresh the results with the current data, right-click Update from Database and click Run Script.

Manipulate BigQuery Data

You can execute data manipulation queries from JSL scripts such as the one below. To execute a script, click New Script in the toolbar. To connect, specify the DSN. You can then use the standard SQL syntax:

Open Database( "DSN=CData GoogleBigQuery Source;",
"INSERT INTO Orders
(ShipCity)
VALUES ('New York');");

Visualize BigQuery Data

After importing, you can use the Graph Builder to create graphs visually. To open the Graph Builder, click the Graph Builder button in the toolbar.

1. Drag a dimension column onto the x axis. For example, OrderName.
2. Drag a measure column onto the y axis. For example, Freight.
3. Select a chart type. For example, a bar chart. 👁 Configuration of a basic chart. (Salesforce is shown.)