Use the CData ODBC Driver for Greenhouse in SAS JMP

You can use the CData ODBC Driver for Greenhouse to integrate live data into your statistical analysis with SAS JMP. The driver proxies your queries directly to the Greenhouse 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.

This article shows how to access Greenhouse data into a report and create data visualization. It also shows how to use SQL to query Greenhouse data from the JMP Query Builder.

Access Greenhouse 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.

You need an API key to connect to Greenhouse. To create an API key, follow the steps below:

1. Click the Configure icon in the navigation bar and locate Dev Center on the left.
2. Select API Credential Management.
3. Click Create New API Key.
• Set "API Type" to Harvest.
• Set "Partner" to custom.
• Optionally, provide a description.
4. Proceed to Manage permissions and select the appropriate permissions based on the resources you want to access through the driver.
5. Copy the created key and set APIKey to that value.

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 Greenhouse Data with the Query Builder

After you have created the Greenhouse DSN, you can use SQL to invoke the capabilities of the Greenhouse 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 DSN. In the next step, the Select Tables for Query dialog is displayed.
4. In the Available Tables section, select a table and click Primary.
5. As you drag Available Columns to the Included Columns tab, the underlying SQL query is updated.
6. Click Run Query to display the data.
7. To refresh the results with the current data, right-click Update from Database and click Run Script.

Visualize Greenhouse 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, Id.
2. Drag a measure column onto the y axis. For example, CandidateId.
3. Select a chart type. For example, a bar chart.