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CData Connect enables you to access live Greenplum data in workflow automation tools like Power Automate. This article shows how to integrate Greenplum data into a simple workflow, saving Greenplum data into a CSV file.
CData Connect provides a live interface for Greenplum, allowing you to integrate with live Greenplum data in Power Automate β without replicating the data. Connect uses optimized data processing out of the box to push all supported SQL operations (filters, JOINs, etc) directly to Greenplum, leveraging server-side processing to quickly return Greenplum data.
Connectivity to Greenplum from Power Automate is made possible through CData Connect AI. To work with Greenplum data from Power Automate, we start by creating and configuring a Greenplum connection.
To connect to Greenplum, set the Server, Port (the default port is 5432), and Database connection properties and set the User and Password you wish to use to authenticate to the server. If the Database property is not specified, the default database for the authenticate user is used.
π Configuring a connection (Salesforce is shown)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.
With the connection configured and a PAT generated, you are ready to connect to Greenplum data from Power Automate Desktop.
After configuring CData Connect with Greenplum, you are ready to integrate Greenplum data into your Power Automate workflows. Open Microsoft Power Automate, add a new flow, and name the flow.
π A new flow in Power AutomateIn the flow editor, you can add the options to connect to Greenplum, query Greenplum using SQL, and write the query results to a CSV document.
Add an "Open SQL connection" action (Action -> Database) and click the option to build the Connection string. In the Data Link Properties wizard:
After building the connection string in the Data Link Properties wizard, save the action.
π A configured 'Open SQL connection' actionAdd an "Execute SQL statement" action (Action -> Database) and configure the properties.
After configuring the properties, save the action.
π A configured 'Execute SQL statement' actionAdd a "Write to CSV file" action (Action -> File) and configure the properties.
After configuring the properties, save the action.
π A configured 'Write to CSV file' actionAdd a "Close SQL connection" action (Action -> Database) and configure the properties.
After configuring the properties, save the action.
π A configured 'Close SQL connection' actionOnce you have configured all the options for the flow, click the disk icon to save the flow. Click the play icon to run the flow.
π A fully configured workflowNow you have a workflow to save Greenplum data into a CSV file.
π Application data in a CSV file (Salesforce is shown)With CData Connect AI, you get live connectivity to Greenplum data within your Microsoft Power Automate workflows.
Now you have a direct connection to live Greenplum data from Power Automate tasks. You can create more connections and workflows to drive business β all without replicating Greenplum 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.
This article explains how to use CData Connect AI with Power Automate Desktop. Check out our other articles for more ways to work with Power Automate (Desktop & Online):
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