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

Dibyendu Datta
Dibyendu Datta
Lead Technology Evangelist
Build workflows to access live CSV 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 AI, Alteryx provides instant access to CSV data from your data automation processes. This article demonstrates how to connect to CSV using Connect AI and work with CSV data in Alteryx.

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

Configure CSV Connectivity for Alteryx

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

  1. Log into Connect AI, click Sources, and then click Add Connection
  2. Adding a Connection
  3. Select "CSV" from the Add Connection panel
  4. Selecting a data source
  5. Enter the necessary authentication properties to connect to CSV.

    Connecting to Local or Cloud-Stored (Box, Google Drive, Amazon S3, SharePoint) CSV Files

    CData Drivers let you work with CSV files stored locally and stored in cloud storage services like Box, Amazon S3, Google Drive, or SharePoint, right where they are.

    Setting connection properties for local files

    Set the URI property to local folder path.

    Setting connection properties for files stored in Amazon S3

    To connect to CSV file(s) within Amazon S3, set the URI property to the URI of the Bucket and Folder where the intended CSV files exist. In addition, at least set these properties:

    • AWSAccessKey: AWS Access Key (username)
    • AWSSecretKey: AWS Secret Key

    Setting connection properties for files stored in Box

    To connect to CSV file(s) within Box, set the URI property to the URI of the folder that includes the intended CSV file(s). Use the OAuth authentication method to connect to Box.

    Dropbox

    To connect to CSV file(s) within Dropbox, set the URI proprerty to the URI of the folder that includes the intended CSV file(s). Use the OAuth authentication method to connect to Dropbox. Either User Account or Service Account can be used to authenticate.

    SharePoint Online (SOAP)

    To connect to CSV file(s) within SharePoint with SOAP Schema, set the URI proprerty to the URI of the document library that includes the intended CSV file. Set User, Password, and StorageBaseURL.

    SharePoint Online REST

    To connect to CSV file(s) within SharePoint with REST Schema, set the URI proprerty to the URI of the document library that includes the intended CSV file. StorageBaseURL is optional. If not set, the driver will use the root drive. OAuth is used to authenticate.

    Google Drive

    To connect to CSV file(s) within Google Drive, set the URI property to the URI of the folder that includes the intended CSV file(s). Use the OAuth authentication method to connect and set InitiateOAuth to GETANDREFRESH.

    Configuring a connection (Salesforce is shown)
  6. Click Save & Test
  7. Navigate to the Permissions tab in the Add CSV 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 CSV data from Alteryx.

Connect to CSV 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, CSV1).
  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

To get live data access to hundreds of SaaS, Big Data, and NoSQL sources directly from your SQL Server database, try CData Connect AI today!

Ready to get started?

Learn more about CData Connect AI or sign up for free trial access:

Free Trial