Integrate Live GMO MakeShop 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 GMO MakeShop 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 GMO MakeShop data into your ML model deployments.

CData Connect Cloud provides a pure SQL, cloud-to-cloud interface for GMO MakeShop, allowing you to easily integrate with live GMO MakeShop 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 GMO MakeShop, leveraging server-side processing to quickly return GMO MakeShop data.

Configure GMO MakeShop Connectivity for Amazon SageMaker Canvas

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

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

2. Select "GMO MakeShop" from the Add Connection panel

3. Enter the necessary authentication properties to connect to GMO MakeShop.

   Configuring Access to GMO MakeShop

   GMO MakeShop requires AccessCode for each API. To obtain MembersAccessCode, OrdersAccessCode, ProductsAccessCode, and ShopId, follow the steps below:

   • Log in to the GMO MakeShop Store Manager and click Create Shop.
   • Click any target connection setting from External System Connection in the left-hand navigation menu. If you cannot find it in the menu, please contact GMO Makeshop.
   • Product Data Connection Settings: Click Issue to retrieve the authentication code and ProductsAccessCode.
   • Order Data Connection Settings: First select Get Order Information > Change Order Information settings. Then click Issue to retrieve the authentication code and OrdersAccessCode.
   • Members Data Connection Settings: Select Get/Post/Update/Delete Members Information settings. Then click Issue to retrieve the authentication code and MembersAccessCode.
   < li>Members Authentication Connection Settings: Click Issue to retrieve the authentication code and ProductsAccessCode.

   Authenticating to GMO MakeShop Account

   Set the following connection properties to connect:

   • ShopId: Set the GMO MakeShop Store ID of the connection destination. The GMO MakeShop Store ID is the same as the ID for login.
   • OrdersAccessCode: Set the orders access code retrieved from Order Data Connection Settings. This property is required to access the Orders table.
   • ProductsAccessCode: Set the products access code retrieved from Product Data Connection Settings. This property is required to access the Products table.
   • MembersAccessCode: Set the members access code retrieved from Members Data Connection Settings. This property is required to access the Members table.
   • MemberAuthenticationCode: Set the member authentication code retrieved from Members Authentication Connection Settings. This property is required to execute MemberAuthenticationConfirm.
   • Password: Specify the password for the GMO MakeShop Store Manager login user. This property is required to execute ProductCategoryRegistrationOrModification, ProductMemberGroupPriceRegistrationOrModification, ProductOptionRegistrationOrModification, and ProductRegistrationOrModification.
   
4. Click Create & Test
5. Navigate to the Permissions tab in the Add GMO MakeShop 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.

1. Click on the Gear icon () at the top right of the Connect Cloud 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 GMO MakeShop 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 GMO MakeShop 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. [email protected])
   • Set Password to the PAT for the above user
   • Set Database name the GMO MakeShop connection (e.g., GMOMakeShop1)
9. Click on "Create connection".

Integrating GMO MakeShop Data into Amazon SageMaker Canvas

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

1. In the tabular dataset created in RDS with GMO MakeShop data, search for the GMO MakeShop connection configured on Connect Cloud in the search bar or from the list of connections.
2. Select the table of your choice from GMO MakeShop, drag and drop it into the canvas on the right.
3. You can create workflows by joining any number of tables from the GMO MakeShop 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 GMO MakeShop 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 GMO MakeShop Data from Cloud Applications

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