Prepare, Blend, and Analyze Amazon Athena Data in Alteryx Designer (Connect AI)

Alteryx is a software platform that allows people to work with data more easily. When paired with CData Connect AI, Alteryx provides instant access to Amazon Athena data from your data automation processes. This article demonstrates how to connect to Amazon Athena using Connect AI and work with Amazon Athena data in Alteryx.

CData Connect AI offers a dedicated SQL Server interface for Amazon Athena, facilitating data querying without the need for data replication to a native database. With built-in optimized data processing capabilities, CData Connect AI efficiently directs all supported SQL operations, including filters and JOINs, straight to Amazon Athena. This harnesses server-side processing to rapidly retrieve the desired Amazon Athena data.

Getting Started

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Configure Amazon Athena Connectivity for Alteryx

Connectivity to Amazon Athena from Alteryx is made possible through CData Connect AI. To work with Amazon Athena data from Alteryx, 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 Alteryx.

Connect to Amazon Athena from Alteryx

To establish a connection from Alteryx Desktop to the CData Connect AI Virtual SQL Server, follow these steps:

1. Set up an account in Alteryx.
2. Drag and drop a new Input Data tool onto the workflow. 👁 Image
   
3. While the Input Data tool is selected, click Set Up a Connection in the navigation panel. A Data connections dialog appears.
4. Click Data sources. Select Microsoft SQL Server > **Quick connect. 👁 Image
   
5. In the Connection Manager dialog, click New.
6. In the New Data Source dialog, enter the following information:
   • Data Source Name: Microsoft SQL Server ODBC DSN-less.
   • Driver: select ODBC Driver 18 for SQL Server from the drop-down list.
   • Server: tds.cdata.com,14333
   • Database: enter the Connection Name of the CData Connect AI data source you want to connect to (for example, AmazonAthena1).
   👁 Image
   
7. Click Save. Then click Connect Credential.
8. In Connections, enter the following:
   • Authentication Method: select Username and password.
   • Credential: select Create New Credential.
   • Credential Name: enter a name to identify the credential.
   • Username: enter your CData Connect AI username. This is displayed in the top-right corner of the CData Connect AI interface. For example, [email protected].
   • Password: enter the PAT you generated on the Settings page.
9. Click Test Connection. If successful, click Create and link.
10. Connect with your credentials.
11. In the wizard that opens, drag and drop the table to be queried in the Query Builder box. Select the fields by checking the boxes that you want to include in your query. Where possible, the complex queries generated by the filters and aggregations will be pushed down to your data source, while any unsupported operations (which can include SQL functions and JOIN operations) will be managed client-side by the CData SQL engine embedded in the connector. 👁 Image
    
12. To further customize the dataset, you can open the SQL Editor and modify the query manually, adding clauses, aggregations, and other operations to ensure that you are retrieving exactly the data desired. 👁 Image
    
13. With the query defined, you are ready to work with your data in Alteryx Designer. 👁 Image
    

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