Connect Google Meet and Databricks to Build Intelligent Automations
Choose a Trigger
When this happens...
New Meeting
Choose an Action
Automatically do this!
Create Cluster
Create a Directory
Delete a Job
Create a Repo
Delete Repo
Ready to use Google Meet and Databricks automations
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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Meeting
Trigger when a new meeting is created.
Do thisActions
Action is the task that follows automatically within your Google Meet integrations.
Get All Attendees
Get All Attendees for Google Meet.
Schedule a Meeting
schedules a video conference meeting.
Add Attendees to Meeting
updating the existing calendar event’s attendees list by adding new emails.
List Upcoming Meetings
List Upcoming Google Meet Meetings .
Update Meeting
update an existing meeting.
Cancel Meeting
delete a meeting.
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Frequently Asked Questions
To start, connect both your Google Meet and Databricks accounts to viaSocket. Once connected, you can set up a workflow where an event in Google Meet triggers actions in Databricks (or vice versa).
Absolutely. You can customize how Google Meet data is recorded in Databricks. This includes choosing which data fields go into which fields of Databricks, setting up custom formats, and filtering out unwanted information.
The data sync between Google Meet and Databricks typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between Google Meet and Databricks. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
About Google Meet
Google Meet is a video conferencing app. Using your browser, share your video, desktop, and presentations with teammates and customers.
Learn MoreAbout Databricks
Databricks is a cloud-based data platform that provides a collaborative environment for data engineering, data science, and machine learning. It offers a unified analytics platform that simplifies data processing and enables organizations to build and deploy AI models at scale. With its powerful integration capabilities, Databricks allows teams to work together seamlessly, accelerating innovation and driving data-driven decision-making.
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