Connect Tusky and Google Bigquery to Build Intelligent Automations
Enable Integrations or automations with these events of Tusky and Google Bigquery
Enable Integrations or automations with these events of Tusky and Google Bigquery
Actions
Create Vault
Creates a Vault.
Delete Vault
Delete an existing vault.
Create Folder
Creates a Folder.
Update User Account
Update an existing account .
Delete Rows
Deletes rows from a BigQuery table that match the provided WHERE condition.
Run SQL query
Run a SQL query and return results.
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Frequently Asked Questions
To start, connect both your Tusky and Google Bigquery accounts to viaSocket. Once connected, you can set up a workflow where an event in Tusky triggers actions in Google Bigquery (or vice versa).
Absolutely. You can customize how Tusky data is recorded in Google Bigquery. This includes choosing which data fields go into which fields of Google Bigquery, setting up custom formats, and filtering out unwanted information.
The data sync between Tusky and Google Bigquery 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 Tusky and Google Bigquery. 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 Tusky
Tusky is a user-friendly and efficient client for Mastodon, a decentralized social network. It allows users to connect, share, and interact with others in a seamless and privacy-focused environment. With its intuitive interface and robust features, Tusky enhances the social media experience by providing tools for managing posts, following users, and engaging with content across the Mastodon network.
Learn MoreAbout Google Bigquery
BigQuery is Google's serverless and highly scalable enterprise data warehouse, designed to make all your data analysts productive.
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