Connect Google Bigquery and RepairShopr to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Google Bigquery
Choose an Action
Automatically do this!
List Appointment Type
List All Custom Assets
List All Contacts
List All Customers
List All Estimates
List All Invoices
List All Items
List All Leads
List All Line Items
List All Ticket Forms
List All Payment method
List All Payments
List All Portal Users
List All Products
List All Purchase Orders
List All RMM Alerts
List All Invoice Schedules
List All Account Settings
Get Tab Settings
Get Printing Settings
List All Ticket Timers
List All Tickets
Get Ticket Settings
List All Timelogs
Get Last Timelog
Get Current User
List All User
List All Vendors
List All Wiki Pages
Enable Integrations or automations with these events of Google Bigquery and RepairShopr
Enable Integrations or automations with these events of Google Bigquery and RepairShopr
Actions
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 RepairShopr accounts to viaSocket. Once connected, you can set up a workflow where an event in Google Bigquery triggers actions in RepairShopr (or vice versa).
Absolutely. You can customize how Google Bigquery data is recorded in RepairShopr. This includes choosing which data fields go into which fields of RepairShopr, setting up custom formats, and filtering out unwanted information.
The data sync between Google Bigquery and RepairShopr 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 RepairShopr. 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 RepairShopr
RepairShopr is a platform to manage a service or repair business with job tracking (ticketing) and an emphasis on great communication.
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