
When this happens...

Automatically do this!
Enable Integrations or automations with these events of Google Bigquery and Planly
Deletes rows in a Google BigQuery table that match the condition you provide.
Run a SQL query on Google BigQuery and return the results.
Adds one or more rows to a BigQuery table.
Change specific fields for rows in a BigQuery table that match the rules you provide.
Creates a new, empty table in a BigQuery dataset.
Lists the BigQuery projects you have access to.

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To start, connect both your Google Bigquery and Planly accounts to viaSocket. Once connected, you can set up a workflow where an event in Google Bigquery triggers actions in Planly (or vice versa).
Absolutely. You can customize how Google Bigquery data is recorded in Planly. This includes choosing which data fields go into which fields of Planly, setting up custom formats, and filtering out unwanted information.
The data sync between Google Bigquery and Planly 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 Bigquery and Planly. 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.
BigQuery is Google's serverless and highly scalable enterprise data warehouse, designed to make all your data analysts productive.
Learn MorePlanly is a comprehensive scheduling and booking platform designed to streamline appointment management for businesses and individuals. It offers features such as calendar integration, automated reminders, and customizable booking pages to enhance productivity and ensure seamless scheduling experiences.
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