Integrate Amazon Athena Data into Power Automate Desktop using CData Connect

CData Connect enables you to access live Amazon Athena data in workflow automation tools like Power Automate. This article shows how to integrate Amazon Athena data into a simple workflow, saving Amazon Athena data into a CSV file.

CData Connect provides a live interface for Amazon Athena, allowing you to integrate with live Amazon Athena data in Power Automate — without replicating the data. Connect uses optimized data processing out of the box to push all supported SQL operations (filters, JOINs, etc) directly to Amazon Athena, leveraging server-side processing to quickly return Amazon Athena data.

Getting Started

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Configure Amazon Athena Connectivity for Power Automate

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

1. Log into Connect AI, click Sources, and then click Add Connection
👁 Adding a Connection

2. Select "Amazon Athena" from the Add Connection panel
👁 Selecting a data source

3. Enter the necessary authentication properties to connect to Amazon Athena.

   Authenticating to Amazon Athena

   To authorize Amazon Athena requests, provide the credentials for an administrator account or for an IAM user with custom permissions: Set to the access key Id. Set to the secret access key.

   Note: Though you can connect as the AWS account administrator, it is recommended to use IAM user credentials to access AWS services.

   Obtaining the Access Key

   To obtain the credentials for an IAM user, follow the steps below:

   1. Sign into the IAM console.
   2. In the navigation pane, select Users.
   3. To create or manage the access keys for a user, select the user and then select the Security Credentials tab.

   To obtain the credentials for your AWS root account, follow the steps below:

   1. Sign into the AWS Management console with the credentials for your root account.
   2. Select your account name or number and select My Security Credentials in the menu that is displayed.
   3. Click Continue to Security Credentials and expand the Access Keys section to manage or create root account access keys.

   Authenticating from an EC2 Instance

   If you are using the CData Data Provider for Amazon Athena 2018 from an EC2 Instance and have an IAM Role assigned to the instance, you can use the IAM Role to authenticate. To do so, set to true and leave and empty. The CData Data Provider for Amazon Athena 2018 will automatically obtain your IAM Role credentials and authenticate with them.

   Authenticating as an AWS Role

   In many situations it may be preferable to use an IAM role for authentication instead of the direct security credentials of an AWS root user. An AWS role may be used instead by specifying the . This will cause the CData Data Provider for Amazon Athena 2018 to attempt to retrieve credentials for the specified role. If you are connecting to AWS (instead of already being connected such as on an EC2 instance), you must additionally specify the and of an IAM user to assume the role for. Roles may not be used when specifying the and of an AWS root user.

   Authenticating with MFA

   For users and roles that require Multi-factor Authentication, specify the and connection properties. This will cause the CData Data Provider for Amazon Athena 2018 to submit the MFA credentials in a request to retrieve temporary authentication credentials. Note that the duration of the temporary credentials may be controlled via the (default 3600 seconds).

   Connecting to Amazon Athena

   In addition to the and properties, specify , and . Set to the region where your Amazon Athena data is hosted. Set to a folder in S3 where you would like to store the results of queries.

   If is not set in the connection, the data provider connects to the default database set in Amazon Athena.

   👁 Configuring a connection (Salesforce is shown)
   
4. Click Save & Test
5. Navigate to the Permissions tab in the Add Amazon Athena 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 Amazon Athena data from Power Automate Desktop.

Integrate Amazon Athena Data into Power Automate Workflows

After configuring CData Connect with Amazon Athena, you are ready to integrate Amazon Athena data into your Power Automate workflows. Open Microsoft Power Automate, add a new flow, and name the flow.

👁 A new flow in Power Automate

In the flow editor, you can add the options to connect to Amazon Athena, query Amazon Athena using SQL, and write the query results to a CSV document.

Add an Open SQL Connection Action

Add an "Open SQL connection" action (Action -> Database) and click the option to build the Connection string. In the Data Link Properties wizard:

1. On the Provider tab: select Microsoft OLE DB Driver for SQL Server
2. On the Connection tab:
   1. Select or enter a server name: set to tds.cdata.com,14333
   2. Enter information to lag onto the server: select "Use a specific username and password"
      • Set User name to your CData Connect AI user name (e.g. [email protected])
      • Set Password to your PAT
      • Select the database: use the database configured above (e.g. AmazonAthena1)
3. Click "Test Connection" to ensure the connection is configured properly
4. Click "OK" 👁 A configured connection to CData Connect
   

After building the connection string in the Data Link Properties wizard, save the action.

👁 A configured 'Open SQL connection' action

Add an Execute SQL Statement Action

Add an "Execute SQL statement" action (Action -> Database) and configure the properties.

• Get connection by: SQL connection variable
• SQL connection: %SQLConnection% (the variable from the "Open SQL connection" action above)
• SQL statement: SELECT * FROM Customers

After configuring the properties, save the action.

👁 A configured 'Execute SQL statement' action

Add a Write to CSV File Action

Add a "Write to CSV file" action (Action -> File) and configure the properties.

• Variable to write to: %QueryResult% (the variable from the "Execute SQL statement" action above)
• File path: set to a file on disk
• Configure Advanced settings as needed.

After configuring the properties, save the action.

👁 A configured 'Write to CSV file' action

Add a Close SQL Connection Action

Add a "Close SQL connection" action (Action -> Database) and configure the properties.

• SQL Connection: %SQLConnection% (the variable from the "Open SQL connection" action above)

After configuring the properties, save the action.

👁 A configured 'Close SQL connection' action

Save & Run the Flow

Once 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.

👁 A fully configured workflow

Now you have a workflow to save Amazon Athena data into a CSV file.

👁 Application data in a CSV file (Salesforce is shown)

With CData Connect AI, you get live connectivity to Amazon Athena data within your Microsoft Power Automate workflows.

SQL Access to Amazon Athena Data from Cloud Applications

Now you have a direct connection to live Amazon Athena data from Power Automate tasks. You can create more connections and workflows to drive business — all without replicating Amazon Athena 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 Desktop. Check out our other articles for more ways to work with Power Automate (Desktop & Online):

• Amazon Athena Data in Power Automate Desktop via ODBC
• Amazon Athena Data in Power Automate (Online) using CData Connect AI