Analyze JSON Services in Infragistics Reveal

Reveal, an offering from Infragistics, serves as a data visualization tool that seamlessly integrates with CData Connect AI. Together, they empower users to deliver dynamic dashboards using real-time data from a diverse range of data sources, including JSON services. In this article, we will guide you through the process of connecting to JSON via Connect AI and subsequently linking Connect AI with Infragistics Reveal to construct a straightforward dashboard.

Connect to JSON from Infragistics Reveal

To work with live JSON services in Infragistics Reveal, we need to connect to JSON from Connect AI, provide user access to the connection, and create a Workspace for the JSON services.

Connect to JSON 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 "JSON" from the Add Connection panel

3. Enter the necessary authentication properties to connect to JSON.

   See the Getting Started chapter in the data provider documentation to authenticate to your data source: The data provider models JSON APIs as bidirectional database tables and JSON files as read-only views (local files, files stored on popular cloud services, and FTP servers). The major authentication schemes are supported, including HTTP Basic, Digest, NTLM, OAuth, and FTP. See the Getting Started chapter in the data provider documentation for authentication guides.

   After setting the URI and providing any authentication values, set DataModel to more closely match the data representation to the structure of your data.

   The DataModel property is the controlling property over how your data is represented into tables and toggles the following basic configurations.

   • Document (default): Model a top-level, document view of your JSON data. The data provider returns nested elements as aggregates of data.
   • FlattenedDocuments: Implicitly join nested documents and their parents into a single table.
   • Relational: Return individual, related tables from hierarchical data. The tables contain a primary key and a foreign key that links to the parent document.

   See the Modeling JSON Data chapter for more information on configuring the relational representation. You will also find the sample data used in the following examples. The data includes entries for people, the cars they own, and various maintenance services performed on those cars.

   
4. Click Save & Test
5. Navigate to the Permissions tab in the Add JSON 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 JSON Endpoints for Infragistics Reveal

After connecting to JSON, 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 JSON connection (e.g. JSON1) 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 JSON services from Infragistics Reveal.

Create a Dashboard in Reveal

With Connect AI configured, we can visualize JSON services in Reveal.

1. Log into Reveal and click Dashboards -> New
2. Click Data Sources -> OData Feed
3. Specify the Connect AI OData API endpoint URL (found on the OData page): https://cloud.cdata.com/api/odata/{workspace_name}
4. Select Generic Credentials and
   • Set Username to a Connect AI username (e.g. [email protected])
   • Set Password to the PAT for the user
   
5. Select the entity you wish to visualize
6. Select fields and choose a chart type

More Information & Free Trial

At this point, you have created a simple dashboard from live JSON services. For more information on creating OData feeds from JSON (and more than 100 other sources), visit the Connect AI page. Sign up for a free trial and start working live JSON services in tools that consume OData APIs.