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Snowflake Enterprise Data Warehouse Icon Snowflake ODBC Driver

The Snowflake ODBC Driver is a powerful tool that allows you to connect with live Snowflake data warehouse, directly from any applications that support ODBC connectivity.

Access Snowflake like you would a database - read, write, and update through a standard ODBC Driver interface.

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Use the CData ODBC Driver for Snowflake in SAS JMP


You can use the CData ODBC Driver to integrate Snowflake data into the statistical analysis tools available in SAS JMP. This article shows how to use Snowflake data in the Graph Builder and Query Builder.

You can use the CData ODBC Driver for Snowflake to integrate live data into your statistical analysis with SAS JMP. The driver proxies your queries directly to the Snowflake 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 Snowflake API supports bidirectional access. This article shows how to access Snowflake data into a report and create data visualization. It also shows how to use SQL to query and manipulate Snowflake data from the JMP Query Builder.

Access Snowflake 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.

To connect to Snowflake:

  1. Set User and Password to your Snowflake credentials and set the AuthScheme property to PASSWORD or OKTA.
  2. Set URL to the URL of the Snowflake instance (i.e.: https://myaccount.snowflakecomputing.com).
  3. Set Warehouse to the Snowflake warehouse.
  4. (Optional) Set Account to your Snowflake account if your URL does not conform to the format above.
  5. (Optional) Set Database and Schema to restrict the tables and views exposed.

See the Getting Started guide in the CData driver documentation for more information.

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 Snowflake Data with the Query Builder

After you have created the Snowflake DSN, you can use SQL to invoke the capabilities of the Snowflake 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.

Manipulate Snowflake 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 Snowflake Source;", "INSERT INTO Products (Id) VALUES ('1');");

Visualize Snowflake 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, ProductName.
  3. Select a chart type. For example, a bar chart.