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URL: https://www.cdata.com/kb/tech/snowflake-cloud-power-automate.rst

⇱ Integrate Snowflake Data into Automated Tasks with Power Automate

Integrate Snowflake Data into Automated Tasks with Power Automate

👁 Jerod Johnson
Jerod Johnson
Director, Technology Evangelism
Use CData Connect AI to connect to Snowflake data and integrate live Snowflake data into your Power Automate tasks.

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 Snowflake data for visualizations, dashboards, and more. This article shows how to connect to Connect AI from Power Automate and integrate live Snowflake data into your workflows and tasks.

CData Connect AI provides a pure SQL, cloud-to-cloud interface for Snowflake, allowing you to easily integrate with live Snowflake 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 Snowflake, leveraging server-side processing to quickly return Snowflake data.

About Snowflake Data Integration

CData simplifies access and integration of live Snowflake data. Our customers leverage CData connectivity to:

  • Reads and write Snowflake data quickly and efficiently.
  • Dynamically obtain metadata for the specified Warehouse, Database, and Schema.
  • Authenticate in a variety of ways, including OAuth, OKTA, Azure AD, Azure Managed Service Identity, PingFederate, private key, and more.

Many CData users use CData solutions to access Snowflake from their preferred tools and applications, and replicate data from their disparate systems into Snowflake for comprehensive warehousing and analytics.

For more information on integrating Snowflake with CData solutions, refer to our blog: https://www.cdata.com/blog/snowflake-integrations.


Getting Started


Configure Snowflake Connectivity for Power Automate

Connectivity to Snowflake from Power Automate is made possible through CData Connect AI. To work with Snowflake data from Power Automate, we start by creating and configuring a Snowflake connection.

  1. Log into Connect AI, click Sources, and then click Add Connection
    2. 👁 Adding a Connection
  2. Select "Snowflake" from the Add Connection panel
    3. 👁 Selecting a data source
  3. Enter the necessary authentication properties to connect to Snowflake.

    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.
    6. (Optional) If MFA is enabled on your Snowflake account (via Duo Security), set MFACode to the passcode generated by your Duo authenticator app.

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

    👁 Configuring a connection (Salesforce is shown)
  4. Click Save & Test
  5. Navigate to the Permissions tab in the Add Snowflake Connection page and update the User-based permissions. 👁 Updating 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. 👁 Creating a new PAT
  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 Snowflake data from Power Automate.

Connecting to CData Connect AI

To use Connect AI to integrate Snowflake 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 👁 Creating a new SQL Server Connection
  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 Snowflake connection (e.g. Snowflake1)
    • Set Username to a Connect AI user (e.g. [email protected])
    • Set Password to the PAT for the above user
    • Click Create 👁 Connecting to Connect AI

Integrating Snowflake Data into Power Automate Tasks

With the connection to Connect AI configured, you are ready to integrate live Snowflake 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) 👁 Getting Snowflake "Rows"
  5. Configure any actions to follow and test, then save the flow

SQL Access to Snowflake Data from Cloud Applications

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