View Reports on Real-Time JD Edwards Data in Power BI Report Server

Jerod Johnson
Jerod Johnson
Director, Technology Evangelism
Use the CData ODBC Driver for JD Edwards to visualize JD Edwards data in Power BI Desktop and then publish them to Power BI Report Server.

With built-in support for ODBC on Microsoft Windows, CData ODBC Drivers provide self-service integration with self-service analytics tools, such as Microsoft Power BI. The CData ODBC Driver for JD Edwards links your Power BI reports to operational JD Edwards data. You can monitor JD Edwards data through dashboards and ensure that your analysis reflects JD Edwards data in real time by scheduling refreshes or refreshing on demand. This article details how to use the ODBC driver to create real-time visualizations of JD Edwards data in Microsoft Power BI Desktop and then publish the visualizations to Power BI Report Server.

The CData ODBC Drivers offer unmatched performance for interacting with live JD Edwards data in Power BI due to optimized data processing built into the driver. When you issue complex SQL queries from Power BI to JD Edwards, the driver pushes supported SQL operations, such as filters and aggregations, directly to JD Edwards and uses the embedded SQL Engine to process unsupported operations (often SQL functions and JOIN operations) client-side. With built-in dynamic metadata querying, you can visualize and analyze JD Edwards data using native Power BI data types.

Connect to JD Edwards as an ODBC Data Source

If you have not already, first specify connection properties in an ODBC data source name (DSN). This is the last step of the driver installation. You can use the Microsoft ODBC Data Source Administrator to create and configure ODBC DSNs. To publish Power BI reports from Power BI Desktop to Power BI Report Server, you will need to install the ODBC Driver on both the client (desktop) and server machines, using the same name for the DSN on each machine.

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.

When you configure the DSN, you may also want to set the Max Rows connection property. This will limit the number of rows returned, which is especially helpful for improving performance when designing reports and visualizations.

Configuring a DSN (NetSuite is shown).

After creating a DSN, follow the steps below to connect to the JD Edwards DSN from Power BI Desktop:

  1. Open Power BI Desktop and click Get Data -> ODBC. To start Power BI Desktop from PowerBI.com, click the download button and then click Power BI Desktop.
  2. Select a System DSN in the menu (necessary to publish to a Power BI Report Server). If you know the SQL query you want to use to import, expand the Advanced Options node and enter the query in the SQL Statement box. Selecting a System DSN
  3. Select tables in the Navigator dialog. The available tables. (NetSuite is shown.)
  4. Click Edit to edit the query. The table you imported is displayed in the Query Editor. In the Query Editor, you can enrich your local copy of JD Edwards data with other data sources, pivot JD Edwards columns, and more. Power BI detects each column's data type from the JD Edwards metadata retrieved by the driver.

    Power BI records your modifications to the query in the Applied Steps section, adjusting the underlying data retrieval query that is executed to the remote JD Edwards data. When you click Close and Apply, Power BI executes the data retrieval query.

    Otherwise, click Load to pull the data into Power BI.

Create Data Visualizations

After pulling the data into Power BI, you can create data visualizations in the Report view by dragging fields from the Fields pane onto the canvas. Follow the steps below to create a pie chart:

  1. Select the pie chart icon in the Visualizations pane.
  2. Select a dimension in the Fields pane, for example, DocumentNumber.
  3. Select a measure in the Amount in the Fields pane, for example, Amount. You can modify the visualization and the data used with the following techniques:
    • Change sort options by clicking the ellipsis (...) button for the chart. Options to select the sort column and change the sort order are displayed.
    • Use both highlighting and filtering to focus on data. Filtering removes unfocused data from visualizations; highlighting dims unfocused data. Highlight fields by clicking them.
    • Apply filters at the page level, at the report level, or to a single visualization by dragging fields onto the Filters pane. To filter on the field's value, select one of the values that are displayed in the Filters pane.
    A pie chart showing Entity_Name and Total from the NetSuite SalesOrder table.
  4. Click Refresh to synchronize your report with any changes to the data and save your Power BI report to the client machine.

Upload JD Edwards Data Reports to Power BI Report Server

You can share reports based on ODBC data sources with other Power BI users in your organization using a Power BI Report Server.

  1. Install and configure the ODBC Driver for JD Edwards on the report server (see the instructions above).
  2. Log into the report server (typically found at http://MYSERVER/reports), click to upload a new report and select the report you just saved. Uploading the Power BI Report to Power BI Report Server using the Web Portal.
  3. View the JD Edwards report from any machine with access to the Report Server. Viewing the published report from the Report Server.

Ready to get started?

Download a free trial of the JD Edwards ODBC Driver to get started:

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Learn more:

JD Edwards Icon JD Edwards ODBC Driver

The JD Edwards ODBC Driver is a powerful tool that allows you to connect with live data from JD Edwards, directly from any applications that support ODBC connectivity.

Access JD Edwards data like you would a database - read JD Edwards AccountLedger, ProposalofPayment, ContractRevenueSummary, EmployeeEnrollment, RentIncreaseAmounts, etc. through a standard ODBC Driver interface.