Connect Google Bigquery and Float to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Google Bigquery
Choose an Action
Automatically do this!
Create Client
List All Clients
List All Department
List All Milestones
List All Person
List all Phases
List All Project Task
List All Project
Create Logged Time
Create Department
Create Milestone
Create Person
Create Phase
Create Project Task
Create Time Off
Create Allocation
Update Phase
Update Milestone
Update Person
Find Person
Update Project Task
Update Allocation
Update Logged Time
Find Project
Find Allocation
Create Project
Update Project
Update Client
Update Department
Ready to use Google Bigquery and Float automations
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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Milestone
Triggers when a new milestone is created.
New Person
Triggers when a new milestone is person.
New Phase
Triggers when a new phase is created.
New Project
Triggers when a new project is created.
New Project Task
Triggers when a new project task is created.
Updated Project Task
Triggers when a project task is modified.
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 Float accounts to viaSocket. Once connected, you can set up a workflow where an event in Google Bigquery triggers actions in Float (or vice versa).
Absolutely. You can customize how Google Bigquery data is recorded in Float. This includes choosing which data fields go into which fields of Float, setting up custom formats, and filtering out unwanted information.
The data sync between Google Bigquery and Float 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 Float. 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 Float
Float is the fast and friendly resource scheduling app. Keep track of who's working on what and when.
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