Connect to SAS Data Sets Data from Filemaker Pro (Mac)

Mohsin Turki
Mohsin Turki
Technical Marketing Engineer
Use CData Connect AI to connect to and query live SAS Data Sets data from Filemaker Pro on Mac.

FileMaker Pro is a cross-platform relational database application that allows users to visually modify a database. When paired with CData Connect AI, FileMaker Pro gets access to live SAS Data Sets data. This article demonstrates how to connect to SAS Data Sets using Connect AI and query SAS Data Sets data in FileMaker Pro.

CData Connect AI provides a pure SQL Server interface for SAS Data Sets, allowing you to query data from SAS Data Sets without replicating the data to a natively supported database. Using optimized data processing out of the box, CData Connect AI pushes all supported SQL operations (filters, JOINs, etc.) directly to SAS Data Sets, leveraging server-side processing to return the requested SAS Data Sets data quickly.

Configure SAS Data Sets Connectivity for FileMaker Pro

Connectivity to SAS Data Sets from FileMaker Pro is made possible through CData Connect AI. To work with SAS Data Sets data from FileMaker Pro, we start by creating and configuring a SAS Data Sets connection.

  1. Log into Connect AI, click Sources, and then click Add Connection
  2. Select "SAS Data Sets" from the Add Connection panel
  3. Enter the necessary authentication properties to connect to SAS Data Sets.

    Set the following connection properties to connect to your SAS DataSet files:

    Connecting to Local Files

    • Set the Connection Type to "Local." Local files support SELECT, INSERT, and DELETE commands.
    • Set the URI to a folder containing SAS files, e.g. C:\PATH\TO\FOLDER\.

    Connecting to Cloud-Hosted SAS DataSet Files

    While the driver is capable of pulling data from SAS DataSet files hosted on a variety of cloud data stores, INSERT, UPDATE, and DELETE are not supported outside of local files in this driver.

    Set the Connection Type to the service hosting your SAS DataSet files. A unique prefix at the beginning of the URI connection property is used to identify the cloud data store and the remainder of the path is a relative path to the desired folder (one table per file) or single file (a single table). For more information, refer to the Getting Started section of the Help documentation.

  4. Click Save & Test
  5. Navigate to the Permissions tab in the Add SAS Data Sets Connection page and update the User-based permissions.

Add a Personal Access Token

When connecting to Connect AI through the REST API, the OData API, or the Virtual SQL Server, a Personal Access Token (PAT) is used to authenticate the connection to Connect AI. It is best practice to create a separate PAT for each service to maintain granularity of access.

  1. Click on the Gear icon () at the top right of the Connect AI app to open the settings page.
  2. On the Settings page, go to the Access Tokens section and click Create PAT.
  3. Give the PAT a name and click Create.
  4. The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.

With the connection configured and a PAT generated, you are ready to connect to SAS Data Sets data from Filemaker Pro.

Connect to SAS Data Sets from FileMaker Pro using Connect AI

To establish a connection from FileMaker Pro to the CData Connect AI Virtual SQL Server API, follow these steps.

Configure the ODBC Connection to CData Connect AI

  1. Download and install the Actual ODBC Driver for SQL Server (actualtech.com)
  2. Configure a DSN for the Actual ODBC driver by setting the following properties:
    • URL: tds.cdata.com
    • Port: Change the port from 1433 to 14333
    • Username: Your Connect AI email address
    • Password: the PAT you created earlier

Query SAS Data Sets from FileMaker Pro

  1. In the SQL Query Builder "SELECT" tab, select the columns to include as part of the query.
  2. Open the "WHERE" tab of the SQL Query Builder and select "Show only selected columns."
  3. In "Table.Column,"" select a table and a column name.
  4. Set the "Operator" to =.
  5. Select "Column," and then select the same table and column name as "Table.Column."
  6. Click "Insert into SQL Query."
  7. If no other modifications to the SQL query are required, click "Execute."

Get CData Connect AI

To get live data access to hundreds of SaaS, Big Data, and NoSQL sources directly from your SQL Server database, try CData Connect AI today!

Ready to get started?

Learn more about CData Connect AI or sign up for free trial access:

Free Trial