Integrate SAS Data Sets Data into Automated Tasks with Power Automate

Microsoft Power Automate is an online service that automates events (known as workflows) across the most common apps and services. When paired with CData Connect AI, you get instant, cloud-to-cloud access to SAS Data Sets data for visualizations, dashboards, and more. This article shows how to connect to Connect AI from Power Automate and integrate live SAS Data Sets data into your workflows and tasks.

CData Connect AI provides a pure SQL, cloud-to-cloud interface for SAS Data Sets, allowing you to easily integrate with live SAS Data Sets data in Power Automate — without replicating the data. CData Connect AI looks exactly like a SQL Server database to Power Automate and uses optimized data processing out of the box to push all supported SQL operations (filters, JOINs, etc) directly to SAS Data Sets, leveraging server-side processing to quickly return SAS Data Sets data.

Configure SAS Data Sets Connectivity for Power Automate

Connectivity to SAS Data Sets from Power Automate is made possible through CData Connect AI. To work with SAS Data Sets data from Power Automate, 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 Power Automate.

Connecting to CData Connect AI

To use Connect AI to integrate SAS Data Sets data into your Power Automate tasks, you need a new SQL Server connection:

1. Log in to Power Automate
2. Click Data -> Connections -> New connection
3. Select SQL Server
4. In the connection wizard:
   
   
   • Choose to connect directly
   • Set SQL server name to tds.cdata.com,14333
   • Set SQL database name to the name of the SAS Data Sets connection (e.g. SASDataSets1)
   • Set Username to a Connect AI user (e.g. [email protected])
   • Set Password to the PAT for the above user
   • Click Create

Integrating SAS Data Sets Data into Power Automate Tasks

With the connection to Connect AI configured, you are ready to integrate live SAS Data Sets data into your Power Automate tasks.

1. Log in to Power Automate
2. Click My flows -> New flow and choose to create the flow from blank or template
3. Add (or configure) a SQL Server action (like Get rows) and configure the action to connect to your Connect AI connection
4. Select a Table to work with (from the drop-down menu) and configure any advanced options (like filters, orders, etc)
5. Configure any actions to follow and test, then save the flow

SQL Access to SAS Data Sets Data from Cloud Applications

Now you have a direct connection to live SAS Data Sets data from Power Automate tasks. You can create more connections and workflows to drive business — all without replicating SAS Data Sets data.

To get SQL data access to hundreds of SaaS, Big Data, and NoSQL sources directly from your cloud applications, sign up for a free trial of CData Connect AI.

Related Power Automate Articles

This article explains how to use CData Connect AI with Power Automate (Online). Check out our other articles for more ways to work with Power Automate Desktop:

• SAS Data Sets Data in Power Automate Desktop using CData Connect
• SAS Data Sets Data in Power Automate Desktop via ODBC