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Try them now for free →Prepare, Blend, and Analyze Amazon S3 Data in Alteryx Designer (Connect Cloud)
Build workflows to access live Amazon S3 data for self-service data analytics.
Alteryx is a software platform that allows people to work with data more easily. When paired with CData Connect Cloud, Alteryx provides instant access to Amazon S3 data from your data automation processes. This article demonstrates how to connect to Amazon S3 using Connect Cloud and work with Amazon S3 data in Alteryx.
CData Connect Cloud offers a dedicated SQL Server interface for Amazon S3, facilitating data querying without the need for data replication to a native database. With built-in optimized data processing capabilities, CData Connect Cloud efficiently directs all supported SQL operations, including filters and JOINs, straight to Amazon S3. This harnesses server-side processing to rapidly retrieve the desired Amazon S3 data.
Configure Amazon S3 Connectivity for Alteryx
Connectivity to Amazon S3 from Alteryx is made possible through CData Connect Cloud. To work with Amazon S3 data from Alteryx, we start by creating and configuring a Amazon S3 connection.
- Log into Connect Cloud, click Sources, and then click Add Connection
- Select "Amazon S3" from the Add Connection panel
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Enter the necessary authentication properties to connect to Amazon S3.
To authorize Amazon S3 requests, provide the credentials for an administrator account or for an IAM user with custom permissions. Set AccessKey to the access key Id. Set SecretKey to the secret access key.
Note: You can connect as the AWS account administrator, but it is recommended to use IAM user credentials to access AWS services.
For information on obtaining the credentials and other authentication methods, refer to the Getting Started section of the Help documentation.
- Click Create & Test
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Navigate to the Permissions tab in the Add Amazon S3 Connection page and update the User-based permissions.
Add a Personal Access Token
When connecting to Connect Cloud 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 Cloud. It is best practice to create a separate PAT for each service to maintain granularity of access.
- Click on the Gear icon () at the top right of the Connect Cloud app to open the settings page.
- On the Settings page, go to the Access Tokens section and click Create PAT.
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Give the PAT a name and click Create.
- 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 S3 data from Alteryx.
Connect to Amazon S3 from Alteryx
To establish a connection from Alteryx Desktop to the CData Connect Cloud Virtual SQL Server, follow these steps:
- Set up an account in Alteryx.
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Drag and drop a new Input Data tool onto the workflow.
- While the Input Data tool is selected, click Set Up a Connection in the navigation panel. A Data connections dialog appears.
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Click Data sources. Select Microsoft SQL Server > **Quick connect.
- In the Connection Manager dialog, click New.
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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 Cloud data source you want to connect to (for example, AmazonS31).
- Click Save. Then click Connect Credential.
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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 Cloud username. This is displayed in the top-right corner of the CData Connect Cloud interface. For example, [email protected].
- Password: enter the PAT you generated on the Settings page.
- Click Test Connection. If successful, click Create and link.
- Connect with your credentials.
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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.
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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.
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With the query defined, you are ready to work with your data in Alteryx Designer.
Get CData Connect Cloud
To get live data access to 100+ SaaS, Big Data, and NoSQL sources directly from your SQL Server database, try CData Connect Cloud today!