Build JD Edwards Visualizations in Tableau Desktop

Tableau is a visual analytics platform transforming the way businesses use data to solve problems. 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.

CData Connect AI provides a pure SQL Server, cloud-to-cloud interface for JD Edwards, allowing you to easily build visualizations from live JD Edwards data in Tableau without installing connectors. As you build visualizations, Tableau 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

Connectivity to JD Edwards from Tableau is made possible through CData Connect AI. To work with JD Edwards data from Tableau, we start by creating and configuring a JD Edwards connection.

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.

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

Visualize Live JD Edwards Data in Tableau

To establish a connection from Tableau Desktop to the CData Connect AI Virtual SQL Server, follow these steps.

1. In Tableau Desktop, open a new book. Under To a Server, select More, then Microsoft SQL Server.
2. Enter your credentials:
   • Server: enter the Virtual SQL Server endpoint and port separated by a comma: tds.cdata.com,14333
   • Database: enter the Connection Name of the CData Connect AI data source you want to connect to (for example, JDEdwards1).
   • Authentication: select Use a specific username and password.
   • Username: enter your CData Connect AI username. This is displayed in the top-right corner of the CData Connect AI interface. For example, [email protected].
   • Password: enter the PAT you previously generated.
   • Require SSL: leave this selected.
   
3. Click Sign In.
4. Select the Database (Connect AI connection) you wish to work with and opt for a Live or Extract Connection type.
5. Select the table(s) you wish to visualize. If you select multiple tables, define the relationship between the tables using the appropriate columns.
6. Select the fields to visualize.

Real-Time Access to JD Edwards Data from Data Applications

At this point, you have a direct, cloud-to-cloud connection to live JD Edwards data from your Tableau workbook. You can create new visualizations, build dashboards, and more. For more information on gaining live access to data from more than 100 SaaS, Big Data, and NoSQL sources from applications like Tableau, refer to our Connect AI page.