Build JD Edwards Visualizations in Tableau Cloud

Tableau Cloud is an analytics platform fully hosted in the cloud. When paired with CData Connect AI, you get instant, cloud-to-cloud access to JD Edwards data for visualizations, dashboards, and more. This article shows how to connect to JD Edwards and build visualizations from JD Edwards data in Tableau Cloud.

CData Connect AI provides a pure cloud-to-cloud interface for JD Edwards, allowing you to easily build visualizations from live JD Edwards data in Tableau Cloud without installing connectors or publishing worksheets and data sources from Tableau Desktop. As you build visualizations, Tableau Cloud generates SQL queries to gather data. Using optimized data processing out of the box, CData Connect AI pushes all supported SQL operations (filters, JOINs, etc) directly to JD Edwards, leveraging server-side processing to quickly return JD Edwards data.

Configure JD Edwards Connectivity for Tableau Cloud

To work with JD Edwards data from Tableau Cloud, we need to connect to JD Edwards from Connect AI, provide user access to the connection, and create a Workspace for the JD Edwards data.

Connect to JD Edwards from Connect AI

CData Connect AI uses a straightforward, point-and-click interface to connect to data sources.

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

2. Select "JD Edwards" from the Add Connection panel

3. Enter the necessary authentication properties to connect to JD Edwards.

   The driver connects to JD Edwards through your Application Interface Services (AIS) Server. Set the following connection properties:

   • URL: The base HTTPS URL of your AIS Server (e.g., https://jde-ais.example.com:8300).
   • User: Your JD Edwards username.
   • Password: Your JD Edwards password.
   • Environment (optional): The JD Edwards environment to use (e.g., PD920 for production or DV920 for development). If not specified, the AIS Server's default environment is used.
   • Role (optional): The JD Edwards role for the session. If not specified, the AIS Server's default role is used.
   • DeviceName (optional): An identifier for the connecting device or application, used for auditing and logging on the AIS Server.
   • Jasserver (optional): The specific Java Application Server (JAS) instance to route requests through, useful in clustered environments.

   Choosing Which Data Is Exposed

   JD Edwards organizes tables and business views by System Code, and the driver exposes each System Code as its own schema. Use these properties to control which schemas are available:

   • DataModel: One or more ERP modules (comma-separated) whose System Codes are exposed as schemas, or All to expose every System Code in the connected instance. Defaults to FinancialManagement.
   • SystemCodes: A comma-separated list of additional System Codes to expose alongside those from DataModel (e.g., 42,43).

   When you connect, the driver sends your credentials to the AIS Server to obtain a session token and caches it. The driver requests a new token automatically before the session expires.

   
4. Click Save & Test
5. Navigate to the Permissions tab in the Add JD Edwards Connection page and update the User-based 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.
4. The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.

Configure JD Edwards Endpoints for Tableau Cloud

After connecting to JD Edwards, create a workspace for your desired table(s).

1. Navigate to the Workspaces page and click Add to create a new Workspace (or select an existing workspace).
2. Click Add to add new assets to the Workspace.
3. Select the JD Edwards connection (e.g. JDEdwards1) and click Next.
4. Select the table(s) you wish to work with and click Confirm.
5. Make note of the OData Service URL for your workspace, e.g. https://cloud.cdata.com/api/odata/{workspace_name}

With the connection, PAT, and Workspace configured, you are ready to connect to JD Edwards data from Tableau Cloud.

Visualize Live JD Edwards Data in Tableau Cloud

The steps below outline creating a new data source in Tableau Cloud based on the virtual JD Edwards database in Connect AI and building a simple visualization from the data.

1. Log into Tableau Cloud, select a account, and create a new workbook.
2. In the new workbook, choose the OData Connector from the data wizard and fill in the values for your Connect AI instance.
   • Set Server to the OData URL for your Workspace, e.g. https://cloud.cdata.com/api/odata/{workspace_name}
   • Set Authentication to Username and Password
   • Set Username to your Connect AI username (e.g. [email protected])
   • Set Password to a PAT for the above user
   
3. Select your newly created database and the table(s) you wish to visualize (defining relationships for JOINad tables as needed).

4. Select Dimensions and Measures and configure your visualization.

Real-Time Access to JD Edwards Data from Cloud Applications

At this point, you have a direct, cloud-to-cloud connection to live JD Edwards data from your Tableau Cloud workbook. You can create new visualizations, build dashboards, and more, with no need to publish data sources and workbooks from Tableau Desktop. For more information on gaining live access to data from more than 100 SaaS, Big Data, and NoSQL sources from cloud applications like Tableau Cloud, refer to our Connect AI page.