Connect Google Bigquery and pike13 to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Google Bigquery
Choose an Action
Automatically do this!
List Account
List Businesses
List Account People
List Custom Fields
List Event
List Event Occurrence
List Form of Payment
List Franchisees
List Pack product
List Payment Configuration
List Person
List Plans
List Plan Products
List Services
List Staff Member
Update Person
Create Person
Ready to use Google Bigquery and pike13 automations
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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
Person Created
Triggers when a new person is added to your business.
Person Updated
Triggers when a person is updated in your business.
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 pike13 accounts to viaSocket. Once connected, you can set up a workflow where an event in Google Bigquery triggers actions in pike13 (or vice versa).
Absolutely. You can customize how Google Bigquery data is recorded in pike13. This includes choosing which data fields go into which fields of pike13, setting up custom formats, and filtering out unwanted information.
The data sync between Google Bigquery and pike13 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 pike13. 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 pike13
The mobile-friendly Pike13 platform allows class-based businesses like strength and conditioning gyms, yoga studios, and pilates studios to manage everything from clients and schedules to billing and payroll.
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