Analyze SAS Data Sets Data in Infragistics Reveal

Reveal is a data visualization solution provided by Infragistics and can be paired with the CData Connect Server and SAS Data Sets Connector to build dynamic dashboards from live SAS Data Sets data. The CData Connect Server creates a virtual database for SAS Data Sets and can be used to generate an OData API (natively consumable in Reveal) for SAS Data Sets. In this article, we walk through connecting to SAS Data Sets in Connect Server and connecting to Connect Server from Infragistics Reveal to create a simple dashboard.

Add a Connect Server User

Create a User to connect to SAS Data Sets from Reveal through Connect Server.

1. Click Users -> Add
2. Configure a User
3. Click Save Changes and make note of the Authtoken for the new user

Connect to SAS Data Sets from Connect Server

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

1. Open Connect Server and click Connections
2. Select "SAS Data Sets" from Available Data Sources
3. Enter the necessary authentication properties to connect to SAS Data Sets.

   Set the following connection properties to connect to your SAS DataSet files:

   Connecting to Local Files

   • Set the Connection Type to "Local." Local files support SELECT, INSERT, and DELETE commands.
   • Set the URI to a folder containing SAS files, e.g. C:\PATH\TO\FOLDER\.

   Connecting to Cloud-Hosted SAS DataSet Files

   While the driver is capable of pulling data from SAS DataSet files hosted on a variety of cloud data stores, INSERT, UPDATE, and DELETE are not supported outside of local files in this driver.

   Set the Connection Type to the service hosting your SAS DataSet files. A unique prefix at the beginning of the URI connection property is used to identify the cloud data store and the remainder of the path is a relative path to the desired folder (one table per file) or single file (a single table). For more information, refer to the Getting Started section of the Help documentation.

4. Click Save Changes
5. Click Privileges -> Add and add the new user (or an existing user) with the appropriate permissions (SELECT is all that is required for Reveal).

Add SAS Data Sets OData Endpoints in Connect Server

After connecting to SAS Data Sets, create OData Endpoint for the desired table(s).

1. Click OData -> Tables -> Add Tables
2. Select the SAS Data Sets database
3. Select the table(s) you wish to work with and click Next
4. (Optional) Edit the resource to select specific fields and more
5. Save the settings

(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 OData -> Settings.

• 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.

Create a Dashboard in Reveal

With Connect Server configured, we can visualize SAS Data Sets data in Reveal.

1. Log into Reveal and click Dashboards -> New
2. Click Data Source -> OData Feed
3. Specify the Connect Server API endpoint URL (found in API -> Discovery -> Base URL), for example: CONNECT_SERVER_URL/api.rsc
4. Select Generic Credentials and specify the Connect Server username and authentication token
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 SAS Data Sets data. For more information on creating OData feeds from SAS Data Sets (and more than 150 other sources), visit the Connect Server page. Download a free, 30-day trial and start working live SAS Data Sets data in tools that consume OData APIs.