Connect Google Bigquery and EARLY to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Google Bigquery
Choose an Action
Automatically do this!
List all Folders
Create a Folder
Update a folder
Delete a Folder
Create Tag
Create Activity
List all Activities
Update Activity
Delete Activity
Get All Tags and Mentions
Update Tag
Delete Tag
Create Mention
Update Mention
Delete Mention
Ready to use Google Bigquery and EARLY automations
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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
Activity Created
Triggers when an activity is created.
Activity Deleted
Triggers when an activity is deleted.
Activity Updated
Triggers when an activity is updated.
Folder Created
Triggers when a folder is created.
Folder Updated
Triggers when a folder is updated.
Folder Deleted
Triggers when a folder is deleted.
Do thisActions
Action is the task that follows automatically within your Google Bigquery integrations.
Delete Rows
Deletes rows from a BigQuery table that match the provided WHERE condition.
Run SQL query
Run a SQL query and return results.
Find Row
Find row(s) by specifying a table, a WHERE clause, an optional ORDER BY, and a LIMIT.
Insert Rows
Insert one or more rows into a BigQuery table.
Update Rows
Update specified fields in rows of a BigQuery table that match the provided WHERE condition.
Create a Table
Creates a new, empty table in the dataset.
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Frequently Asked Questions
To start, connect both your Google Bigquery and EARLY accounts to viaSocket. Once connected, you can set up a workflow where an event in Google Bigquery triggers actions in EARLY (or vice versa).
Absolutely. You can customize how Google Bigquery data is recorded in EARLY. This includes choosing which data fields go into which fields of EARLY, setting up custom formats, and filtering out unwanted information.
The data sync between Google Bigquery and EARLY 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 EARLY. 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 Bigquery
BigQuery is Google's serverless and highly scalable enterprise data warehouse, designed to make all your data analysts productive.
Learn MoreAbout EARLY
EARLY is a cutting-edge platform designed to enhance productivity and streamline project management for teams and individuals. With its intuitive interface and robust features, EARLY helps users efficiently manage tasks, collaborate with team members, and track project progress in real-time. Ideal for businesses and freelancers looking to optimize their workflow and achieve their goals more effectively.
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