Prepare, Blend, and Analyze Google Cloud Storage 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 Google Cloud Storage data from your data automation processes. This article demonstrates how to connect to Google Cloud Storage using Connect AI and work with Google Cloud Storage data in Alteryx.

CData Connect AI offers a dedicated SQL Server interface for Google Cloud Storage, 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 Google Cloud Storage. This harnesses server-side processing to rapidly retrieve the desired Google Cloud Storage data.

Configure Google Cloud Storage Connectivity for Alteryx

Connectivity to Google Cloud Storage from Alteryx is made possible through CData Connect AI. To work with Google Cloud Storage data from Alteryx, we start by creating and configuring a Google Cloud Storage connection.

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

2. Select "Google Cloud Storage" from the Add Connection panel

3. Enter the necessary authentication properties to connect to Google Cloud Storage.

   Authenticate with a User Account

   You can connect without setting any connection properties for your user credentials. After setting InitiateOAuth to GETANDREFRESH, you are ready to connect.

   When you connect, the Google Cloud Storage OAuth endpoint opens in your default browser. Log in and grant permissions, then the OAuth process completes

   Authenticate with a Service Account

   Service accounts have silent authentication, without user authentication in the browser. You can also use a service account to delegate enterprise-wide access scopes.

   You need to create an OAuth application in this flow. See the Help documentation for more information. After setting the following connection properties, you are ready to connect:

   • InitiateOAuth: Set this to GETANDREFRESH.
   • OAuthJWTCertType: Set this to "PFXFILE".
   • OAuthJWTCert: Set this to the path to the .p12 file you generated.
   • OAuthJWTCertPassword: Set this to the password of the .p12 file.
   • OAuthJWTCertSubject: Set this to "*" to pick the first certificate in the certificate store.
   • OAuthJWTIssuer: In the service accounts section, click Manage Service Accounts and set this field to the email address displayed in the service account Id field.
   • OAuthJWTSubject: Set this to your enterprise Id if your subject type is set to "enterprise" or your app user Id if your subject type is set to "user".
   • ProjectId: Set this to the Id of the project you want to connect to.

   The OAuth flow for a service account then completes.

   
4. Click Save & Test
5. Navigate to the Permissions tab in the Add Google Cloud Storage 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 Google Cloud Storage data from Alteryx.

Connect to Google Cloud Storage 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.
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.
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, GoogleCloudStorage1).
   
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.
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.
    
13. With the query defined, you are ready to work with your data in Alteryx Designer.

Get CData Connect AI

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