Analyze Live GMO MakeShop Data in SAS Viya

SAS Viya is an analytics platform that enhances data management, machine learning, and analytics, fostering efficient decision-making and insights. When paired with CData Connect Cloud, you get instant, cloud-to-cloud access to GMO MakeShop data for building predictive models, crafting stunning insights to make data-driven decisions, and more. This article shows how to connect to Connect Cloud from the SAS Viya cloud platform and integrate live GMO MakeShop data into your self-service AI and analytics 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 SAS Viya — without replicating the data. CData Connect Cloud looks exactly like a SQL Server database to SAS Viya 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 return GMO MakeShop data quickly.

Configure GMO MakeShop Connectivity for SAS Viya

Connectivity to GMO MakeShop from SAS Viya is made possible through CData Connect Cloud. To work with GMO MakeShop data from SAS Viya, 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 SAS Viya.

Connecting to CData Connect Cloud from SAS Viya

The following steps detail the process of loading data from GMO MakeShop into SAS Viya using the established connection in CData Connect Cloud.

1. Download and install the CData Connect Cloud JDBC driver.
   • Open the Integrations page of CData Connect Cloud.
   • Search for and select JDBC.
   • Download and run the setup file.
   • When the installation is complete, the JAR file can be found in the installation directory (inside the lib folder).
2. Now, log in to SAS Viya and navigate to the Applications Menu at the top-left corner.
3. Select Develop Code and Flows from the Analytics Life Cycle topic.
4. Navigate to the Explorer tab and click on SAS Server on the left panel.
5. Follow the steps to upload the JAR file of the CData Connect JDBC driver:
   • Right-click on the "Home" directory.
   • Click on Upload files.
   • Place the JAR file in the specified location and note its file path.
6. Once done, navigate to the Libraries tab and click on Create a new library connection (on the top left corner as shown below) for the CData Connect JDBC.
7. Enter the library connection settings:
   • Connection name: enter a name for your connection
   • Library name (libref): enter a reference for your library
   • Library type: choose "SAS/ACCESS to JDBC"
8. Click on the Properties tab and set Library attributes to READONLY.
9. Click the Connection Options tab and enter the following details:
   • Hive JDBC driver's class name: cdata.jdbc.connect.ConnectDriver
   • Java CLASSPATH: enter the file path to the JAR driver file (Refer to Step 5)
10. Click on Test connection. If it succeeds, click on Save and connect.
11. Click on to add a new tab and select SAS program.
12. Fill in the code block below with your setup parameters:
    • Libref: enter the library reference you defined in Step 9.
    • ClassPath: enter the file path to the JAR driver file.
    • Username: enter your CData Connect username. This is displayed in the top-right corner of the CData Connect interface. For example, [email protected].
    • DefaultCatalog: enter the connection configured in CData Connect Cloud that you want to query.
    • Password: enter the PAT you generated in the "Add a Personal Access Token" section.

    libname [Libref] JDBC   
    classpath=[ClassPath]  
    class="cdata.jdbc.connect.ConnectDriver"     
    URL="jdbc:Connect:AuthScheme=Basic;User=[Username];DefaultCatalog=[DefaultCatalog];DefaultSchema=dbo;Password=[PAT]"; 
     
    proc sql; 
    
    SELECT * FROM [Libref].MyTable; 
    
    quit; 
    

13. Click on Run. You can see the data load from CData Connect Cloud into SAS Viya.

Live Access to GMO MakeShop Data from Cloud Applications

At this point, you have a direct, cloud-to-cloud connection to GMO MakeShop data from SAS Viya. You can build predictive models, craft insights to make data-driven decisions, and more — all without replicating GMO MakeShop data.

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