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URL: https://www.cdata.com/kb/tech/oracledb-odata-infragistics-reveal.rst

⇱ Analyze Oracle Data in Infragistics Reveal


Analyze Oracle Data in Infragistics Reveal

πŸ‘ Jerod Johnson
Jerod Johnson
Director, Technology Evangelism
Use the CData API Server to create an OData API on top of Oracle data and visualize live Oracle data in Infragistics Reveal.

Reveal is a data visualization solution provided by Infragistics and can be paired with the CData API Server to build dynamic dashboards from live Oracle data. The CData API Server generates an OData API for Oracle, which is natively consumable in Reveal. In this article, we walk through connecting to Oracle in API Server and connecting to the API Server from Infragistics Reveal to create a simple dashboard.

Connect to Oracle from API Server

CData API Server uses a straightforward, point-and-click interface to connect to data sources and generate APIs.

  1. Open API Server and click Settings -> Connection -> Add Connection πŸ‘ Adding a connection
  2. Select "Oracle" πŸ‘ Selecting a Connector (Salesforce is shown).
  3. Enter the necessary authentication properties to connect to Oracle.

    To connect to Oracle, you'll first need to update your PATH variable and ensure it contains a folder location that includes the native DLLs. The native DLLs can be found in the lib folder inside the installation directory. Once you've done this, set the following to connect:

    • Port: The port used to connect to the server hosting the Oracle database.
    • User: The user Id provided for authentication with the Oracle database.
    • Password: The password provided for authentication with the Oracle database.
    • Service Name: The service name of the Oracle database.
    πŸ‘ Configuring a connection (Salesforce is shown).

Add Oracle Resource Definitions in API Server

After connecting to Oracle, create Resources, which represent API endpoints for Oracle data.

  1. Click Settings -> Resources -> Add Resource πŸ‘ Adding a new resource
  2. Select the Oracle connection πŸ‘ Selecting a connection (Salesforce is shown)
  3. Select the table you wish to retrieve and click Next πŸ‘ Selecting a Table (Salesforce is shown)
  4. (Optional) Edit the resource to select specific fields and more
  5. Save the settings

Add an API Server User

Create a User to connect to Oracle from Reveal through API Server.

  1. Click Settings -> Users
  2. Click Add
  3. Configure a User with access to the Oracle Connection and Resource(s) πŸ‘ Creating a new user
πŸ‘ API Server users

(Optional) Configure Cross-Origin Resource Sharing (CORS)

When accessing and connecting to multiple different domains from an application such as Ajax, there is a possibility of violating the limitations of cross-site scripting. In that case, configure the CORS settings in Settings -> Server.

  • Enable cross-origin resource sharing (CORS): ON
  • Allow all domains without '*': ON
  • Access-Control-Allow-Methods: GET, PUT, POST, OPTIONS
  • Access-Control-Allow-Headers: Authorization

Save the changes to the settings.

πŸ‘ Configuring CORS settings

Create a Dashboard in Reveal

With the API Server configured, we can visualize Oracle data in Reveal.

  1. Log into Reveal and click Dashboards -> New πŸ‘ Adding a new dashboard
  2. Click Data Source -> OData Feed πŸ‘ Adding a new OData data source
  3. Specify the API Server API endpoint URL, for example: https://serverurl/api.rsc πŸ‘ Configuring the OData URL
  4. Select Generic Credentials and specify the API Server username and authentication token πŸ‘ Configuring the credentials
  5. Select the entity you wish to visualize πŸ‘ Selecting an entity to visualize (Salesforce is shown.)
  6. Select fields and choose a chart type πŸ‘ Visualizing data in Reveal (Salesforce is shown.)

More Information & Free Trial

At this point, you have created a simple dashboard from live Oracle data. For more information on creating OData feeds from Oracle (and more than 150 other sources), visit the API Server page. Download a free, 30-day trial and start working live Oracle data in tools that consume OData APIs.