Analyze Google Calendar Data in Infragistics Reveal

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

Connect to Google Calendar from Infragistics Reveal

To work with live Google Calendar data in Infragistics Reveal, we need to connect to Google Calendar from Connect Cloud, provide user access to the connection, and create OData endpoints for the Google Calendar data.

(Optional) Add a New Connect Cloud User

As needed, create Users to connect to Google Calendar through Connect Cloud.

1. Navigate to the Users page and click Invite Users
2. Enter the new user's email address and click Send to invite the user
3. You can review and edit users from the Users page

Add a Personal Access Token

If you are connecting from a service, application, platform, or framework that does not support OAuth authentication, you can create a Personal Access Token (PAT) to use for authentication. Best practices would dictate that you create a separate PAT for each service, to maintain granularity of access.

1. Click on your username at the top right of the Connect Cloud app and click User Profile.
2. Oa the User Profile page, scroll down to the Personal Access Tokens section and click Create PAT.
3. Give your 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.

Connect to Google Calendar from Connect Cloud

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

1. Log into Connect Cloud, click Connections and click Add Connection
2. Select "Google Calendar" from the Add Connection panel
3. Enter the necessary authentication properties to connect to Google Calendar.

   You can connect to Google APIs on behalf of individual users or on behalf of a domain. Google uses the OAuth authentication standard. See the "Getting Started" section of the help documentation for a guide.

   
4. Click Create & Test
5. Navigate to the Permissions tab in the Add Google Calendar Connection page and update the User-based permissions.

Configure Google Calendar Endpoints for Infragistics Reveal

After connecting to Google Calendar, create a workspace and virtual dataset for your desired table(s).

1. Navigate to the Virtual Datasets 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 Google Calendar connection (e.g. GoogleCalendar1) 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 and Workspace configured, you are ready to connect to Google Calendar data from Infragistics Reveal.

Create a Dashboard in Reveal

With Connect Cloud configured, we can visualize Google Calendar data in Reveal.

1. Log into Reveal and click Dashboards -> New
2. Click Data Sources -> OData Feed
3. Specify the Connect Cloud 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 Cloud 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 Google Calendar data. For more information on creating OData feeds from Google Calendar (and more than 100 other sources), visit the Connect Cloud page. Sign up for a free trial and start working live Google Calendar data in tools that consume OData APIs.