Connect and Visualize Live GMO MakeShop Data in Databricks Lakehouse Federation with CData Connect Cloud

Databricks Lakehouse Federation enables organizations to query and integrate data from multiple sources without requiring data movement. It allows federated queries across databases, data warehouses, and lakehouses, providing a unified interface for data analysis and management within Databricks. When combined with CData Connect Cloud, it enables seamless access to GMO MakeShop data for data virtualization, while also supporting data lineage and fine-grained access control.

This article explains how to use CData Connect Cloud to establish a live connection to GMO MakeShop and how to access live GMO MakeShop data from the Databricks platform.

CData Connect Cloud offers a seamless SQL Server, cloud-to-cloud interface for GMO MakeShop, enabling you to effortlessly create dashboards and visualizations using live GMO MakeShop data in Databricks. While building visualizations, Databricks requires SQL queries to retrieve the necessary data. With built-in optimized data processing, CData Connect Cloud pushes all supported SQL operations (such as filters and JOINs) directly to GMO MakeShop, utilizing server-side processing for fast and efficient data retrieval of GMO MakeShop data.

Configure GMO MakeShop connectivity for Databricks in CData Connect Cloud

To work with GMO MakeShop data in Databricks - Lakehouse Federation, you need to connect to GMO MakeShop from Connect Cloud and provide user access to the 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 Databricks.

Connecting live GMO MakeShop data in Databricks

Follow these steps to establish a connection from Databricks to the CData Connect Cloud Virtual SQL Server API.

1. Log into Databricks.
2. Navigate to SQL Warehouses and start any warehouse of your choice.
3. In the navigation pane, select Catalog. Click and select Create a connection.
4. In the Connection basics section (or Step 1 of Set up connection page), enter the following connection details and click Next:
   • Connection name: a user-defined connection name.
   • Connection type: select SQL Server from the drop-down list.
   • Auth type: select Username and password.
   
5. In the Authentication section (or Step 2), enter the required authentication details, and click Next:
   • Host: tds.cdata.com
   • Port: 14333
   • User: enter your CData Connect Cloud username, displayed in the top-right corner of the CData Connect Cloud interface. For example, [email protected]
   • Password: enter the PAT generated and copied in the previous section.
   
6. In the Connection details section (or Step 3), enable the Trust server certificate checkbox and select the appropriate Application intent. Click Create Connection.
7. In the Catalog basics section (or Step 4), enter the required details and click Create catalog:
   • Catalog name: enter a name of your choice
   • Connection: this will be the Databricks connection you defined earlier
   • Database: enter your GMO MakeShop connection name (for example, GMO MakeShop1)
   
8. In the Access section (or Step 5), assign the Workspace, User access rights, and Grant read or edit privileges to the catalog.
9. Click Next > Save to save all the details for the catalog.

Access the catalog and visualize live GMO MakeShop data in Databricks

To access the newly created catalog and create a dashboard to visualize live GMO MakeShop data in Databricks, follow these steps:

1. Select the catalog and expand it. A list of tables from GMO MakeShop will appear on the screen.
2. Choose the desired table and click the Overview tab to view the table metadata.
3. Click the Sample Data tab to view real-time data in the table.
4. Now, click Create at the top right corner and select Dashboard.
5. Manually create a visualization by selecting at least one field in the visualization editor from the widget, or choose one of the visualization options suggested by Databricks AI.
6. Once the visualization is created, edit the details in the widget settings of the dashboard.
7. Click Publish to publish the dashboard report.

Live access to GMO MakeShop data from cloud applications

At this stage, you have established a direct, cloud-to-cloud connection to live GMO MakeShop data in Databricks. This enables you to create dashboards to monitor and visualize your data seamlessly.

For more details on accessing live data from over 100 SaaS, Big Data, and NoSQL sources through cloud applications like Databricks, visit our Connect Cloud page. As always, let us know if you have any questions during your evaluation. Our world-class CData Support Team is always available to help!