Integrate Live Adobe Commerce Data into Amazon SageMaker Canvas with RDS

Amazon SageMaker Canvas is a no-code machine learning platform that lets you generate predictions, prepare data, and build models without writing code. When paired with CData Connect Cloud, you get instant, cloud-to-cloud access to Adobe Commerce data for building custom machine-learning models, predicting customer churn, generating texts, building chatbots, and more. This article shows how to connect to Connect Cloud from Amazon SageMaker Canvas using the RDS connector and integrate live Adobe Commerce data into your ML model deployments.

CData Connect Cloud provides a pure SQL, cloud-to-cloud interface for Adobe Commerce, allowing you to easily integrate with live Adobe Commerce data in Amazon SageMaker Canvas — without replicating the data. CData Connect Cloud looks exactly like a SQL Server database to Amazon SageMaker Canvas and uses optimized data processing out of the box to push all supported SQL operations (filters, JOINs, etc) directly to Adobe Commerce, leveraging server-side processing to quickly return Adobe Commerce data.

Configure Adobe Commerce Connectivity for Amazon SageMaker Canvas

Connectivity to Adobe Commerce from Amazon SageMaker Canvas is made possible through CData Connect Cloud. To work with Adobe Commerce data from Amazon SageMaker Canvas, we start by creating and configuring a Adobe Commerce connection.

1. Log into Connect Cloud, click Connections, and click Add Connection.
2. Select "Adobe Commerce" from the Add Connection panel.
3. Enter the necessary authentication properties to connect to Adobe Commerce.

   Adobe Commerce uses the OAuth 1 authentication standard. To connect to the Adobe Commerce REST API, you will need to obtain values for the OAuthClientId, OAuthClientSecret, and CallbackURL connection properties by registering an app with your Adobe Commerce system. See the "Getting Started" section in the help documentation for a guide to obtaining the OAuth values and connecting.

   You will also need to provide the URL to your Adobe Commerce system. The URL depends on whether you are using the Adobe Commerce REST API as a customer or administrator.

   • Customer: To use Adobe Commerce as a customer, make sure you have created a customer account in the Adobe Commerce homepage. To do so, click Account -> Register. You can then set the URL connection property to the endpoint of your Adobe Commerce system.

   • Administrator: To access Adobe Commerce as an administrator, set CustomAdminPath instead. This value can be obtained in the Advanced settings in the Admin menu, which can be accessed by selecting System -> Configuration -> Advanced -> Admin -> Admin Base URL.

     If the Use Custom Admin Path setting on this page is set to YES, the value is inside the Custom Admin Path text box; otherwise, set the CustomAdminPath connection property to the default value, which is "admin".

4. Click Create & Test.
5. Navigate to the Permissions tab in the Add Adobe Commerce Connection page and update the User-based permissions.

Add a Personal Access Token

If you are connecting from a service, application, platform, or framework that does not support OAuth authentication, you can create a Personal Access Token (PAT) to use for authentication. Best practices would dictate that you create a separate PAT for each service, to maintain granularity of access.

1. Click on your username at the top right of the Connect Cloud app and click User Profile.
2. On the User Profile page, scroll down to the Personal Access Tokens section and click Create PAT.
3. Give your 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, you are ready to connect to Adobe Commerce data from Amazon SageMaker Canvas.

Connecting to CData Connect Cloud from Amazon SageMaker Canvas

With the connection in CData Connect Cloud configured, you are ready to integrate live Adobe Commerce data into Amazon SageMaker Canvas using its RDS connector.

1. Select a domain and user profile in Amazon SageMaker Canvas and click on "Open Canvas".
2. Once the Canvas application opens, navigate to the left panel, and select "My models".
3. Click on "Create new model" in the My models screen.
4. Specify a Model name in Create new model window and select a Problem type. Click on "Create".
5. Once the model version gets created, click on "Create dataset" in the Select dataset tab.
6. In the Create a tabular dataset window, add a "Dataset name" and click on "Create".
7. Click on the "Data Source" drop-down and search for or navigate to the RDS connector and click on " Add Connection".
8. In the Add a new RDS connection window, set the following properties:
   
   
   • Connection Name: a relevant connection name
   • Set Engine type to sqlserver-web
   • Set Port to 14333
   • Set Address as tds.cdata.com
   • Set Username to a Connect Cloud user (e.g. user@mydomain.com)
   • Set Password to the PAT for the above user
   • Set Database name the Adobe Commerce connection (e.g., Adobe Commerce1)
9. Click on "Create connection".

Integrating Adobe Commerce Data into Amazon SageMaker Canvas

With the connection to Connect Cloud configured in the RDS, you are ready to integrate live Adobe Commerce data into your Amazon SageMaker Canvas dataset.

1. In the tabular dataset created in RDS with Adobe Commerce data, search for the Adobe Commerce connection configured on Connect Cloud in the search bar or from the list of connections.
2. Select the table of your choice from Adobe Commerce, drag and drop it into the canvas on the right.
3. You can create workflows by joining any number of tables from the Adobe Commerce connection (as shown below). Click on "Create dataset".
4. Once the dataset is created, click on "Select dataset" to build your model.
5. Perform analysis, generate prediction, and deploy the model.

At this point, you have access to live Adobe Commerce data in Amazon SageMaker that you can utilize to build custom ML models to generate predictive business insights and grow your organization.

SQL Access to Adobe Commerce Data from Cloud Applications

Now you have a direct connection to live Adobe Commerce data from Amazon SageMaker Canvas. You can create more connections, datasets, and predictive models to drive business — all without replicating Adobe Commerce data.

To get real-time data access to 100+ SaaS, Big Data, and NoSQL sources directly from your cloud applications, see the CData Connect Cloud.