When this happens...
New or Updated Event
New Event

Automatically do this!
Enable Integrations or automations with these events of Google Calendar and Google Cloud Bigtable
Trigger when an event is created or updated.
Trigger when an event is created.
creates a new calendar.
Updates an existing event in the specified calendar.
lists all the calendars.
Retrieves all events of a calendar.
Retrieves an existing events by Id.
Remove a specific event from the selected Google Calendar.
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Workflow automation is the process of using technology to execute repetitive tasks with minimal human intervention, creating a seamless flow of activities.
To start, connect both your Google Calendar and Google Cloud Bigtable accounts to viaSocket. Once connected, you can set up a workflow where an event in Google Calendar triggers actions in Google Cloud Bigtable (or vice versa).
Absolutely. You can customize how Google Calendar data is recorded in Google Cloud Bigtable. This includes choosing which data fields go into which fields of Google Cloud Bigtable, setting up custom formats, and filtering out unwanted information.
The data sync between Google Calendar and Google Cloud Bigtable 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 Calendar and Google Cloud Bigtable. 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.
Google Calendar is a time-management and scheduling calendar service developed by Google. It allows users to create and edit events, set reminders, and share calendars with others. The service is designed to help individuals and teams stay organized and manage their time effectively.
Learn MoreGoogle Cloud Bigtable is a fully managed, scalable NoSQL database service designed for large analytical and operational workloads. It is ideal for applications that require high throughput and low latency, such as IoT, user analytics, and financial data analysis.
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