Connect Google Bigquery and EKM to Build Intelligent Automations
Ready to use Google Bigquery and EKM automations
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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Customer
Trigger activates whenever a new customer is added.
New Order
Trigger when new order is created in your account.
New Product
Trigger when new product is created in your account.
Update Order with Status
Trigger when order is updated and matched to given order status.
New Order Status
Trigger when new order status is created in your account.
New Order With Status
Trigger when new order is added that match to the given order status.
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 EKM accounts to viaSocket. Once connected, you can set up a workflow where an event in Google Bigquery triggers actions in EKM (or vice versa).
Absolutely. You can customize how Google Bigquery data is recorded in EKM. This includes choosing which data fields go into which fields of EKM, setting up custom formats, and filtering out unwanted information.
The data sync between Google Bigquery and EKM 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 EKM. 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.
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