Build Zoom-Connected Dashboards in Redash

Redash lets you connect and query your data sources, build dashboards to visualize data and share them with your company. When paired with CData Connect Server, you get instant, cloud-to-cloud access to Zoom data for visualizations, dashboards, and more. This article shows how to create a virtual database for Zoom and build visualizations from Zoom data in Redash.

CData Connect Server provides a pure SQL Server interface for Zoom, allowing you to easily build reports from live Zoom data in Redash — without replicating the data to a natively supported database. As you build visualizations, Redash generates SQL queries to gather data. Using optimized data processing out of the box, CData Connect Server pushes all supported SQL operations (filters, JOINs, etc) directly to Zoom, leveraging server-side processing to quickly return the requested Zoom data.

Create a Virtual SQL Server Database for Zoom Data

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

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

   Start by setting the Profile connection property to the location of the Zoom Profile on disk (e.g. C:\profiles\Zoom.apip). Next, set the ProfileSettings connection property to the connection string for Zoom (see below).

   Zoom API Profile Settings

   To authenticate to Zoom, you can use the OAuth standard to connect to your own data or to allow other users to connect to their data.

   First you will need to create an OAuth app. To do so, navigate to https://marketplace.zoom.us/develop/create and click Create under the OAuth section. Select whether or not the app will be for individual users or for the entire account, and uncheck the box to publish the app. Give the app a name and click Create. You will then be given your Client Secret and Client ID

   After setting the following connection properties, you are ready to connect:

   • AuthScheme: Set this to OAuth.
   • InitiateOAuth: Set this to GETANDREFRESH. You can use InitiateOAuth to manage the process to obtain the OAuthAccessToken.
   • OAuthClientID: Set this to the OAuth Client ID that is specified in your app settings.
   • OAuthClientSecret: Set this to the OAuth Client Secret that is specified in your app settings.
   • CallbackURL: Set this to the Redirect URI you specified in your app settings.
4. Click Save Changes
5. Click Privileges -> Add and add the new user (or an existing user) with the appropriate permissions.

With the virtual database created, you are ready to connect to Zoom data from Redash.

Visualize Zoom Data in Redash

The steps below outline creating a new data source in Redash based on the virtual Zoom database in Connect Server and building a simple visualization from the data.

Create a New Data Source

1. Log into Redash, click on your profile and click "Data Sources"
2. Click the " New Data Source" button
3. Select "Microsoft SQL Server" as the Data Source Type
4. On the configuration tab, set the following properties:
   • Name: Name the data source (e.g. Zoom (CData Connect))
   • Host: The full URL to your CData Connect instance (e.g. https://connect_server_url)
   • Port: The port of the CData Connect SQL Server endpoint (e.g. 1433)
   • User: A CData Connect user
   • Password: The password for the above user
   • Database name: The name of the virtual database for Zoom (e.g. API1)
   • Click the checkbox to Use SSQL
5. Click Create
6. Click the "Test Connection" button to ensure you have configured the connection properly

With the new Data Source created, we are ready to visualize our Zoom data.

Create a Zoom Data Visualization

1. Click Create -> New Query
2. Select the newly created Data Source (you can explore the data structure in the New Query wizard)
3. Write a SQL statement to retrieve the data, for example:
   SELECT Id, JobTitle FROM MeetingRegistrants WHERE State = 'NC'
4. Click the "Execute" button to load Zoom data into Redash via CData Connect
5. Use the Visualization Editor to create and analyze graphs from Zoom data
6. You can schedule the query to refresh and update the visualization periodically

SQL Access to Zoom Data from Cloud Applications

At this point, you have a direct, cloud-to-cloud connection to Zoom data from Redash. You can create new visualizations, build dashboards, and more. For more information on gaining SQL access to data from more than 100 SaaS, Big Data, and NoSQL sources from cloud applications like Redash, refer to our Connect Server page.