IntegrationsGoogle BigqueryElastic Path
Google Bigquery + Elastic Path

Connect Google Bigquery and Elastic Path to Build Intelligent Automations

Choose a Trigger

Google Bigquery

When this happens...

Choose an Action

Elastic Path

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Enable Integrations or automations with these events of Google Bigquery and Elastic Path

Enable Integrations or automations with these events of Google Bigquery and Elastic Path

Actions

Run a Query

Run a Query

run a sql query against a table in bigquery.

Get Rows for Job Completed

Get Rows for Job Completed

Gets batch of rows from completed jobs in BigQuery

Find Row

Find Row

Find row(s) by specifying a table, a WHERE clause, an optional ORDER BY, and a LIMIT.

Find One Row

Find One Row

Find a row by specifying a table, a WHERE clause, an optional ORDER BY. Optionally, create a row if none are found.

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Frequently Asked Questions

How do I start an integration between Google Bigquery and Elastic Path?

To start, connect both your Google Bigquery and Elastic Path accounts to viaSocket. Once connected, you can set up a workflow where an event in Google Bigquery triggers actions in Elastic Path (or vice versa).

Can we customize how data from Google Bigquery is recorded in Elastic Path?

Absolutely. You can customize how Google Bigquery data is recorded in Elastic Path. This includes choosing which data fields go into which fields of Elastic Path, setting up custom formats, and filtering out unwanted information.

How often does the data sync between Google Bigquery and Elastic Path?

The data sync between Google Bigquery and Elastic Path typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.

Can I filter or transform data before sending it from Google Bigquery to Elastic Path?

Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.

Is it possible to add conditions to the integration between Google Bigquery and Elastic Path?

Yes, you can set conditional logic to control the flow of data between Google Bigquery and Elastic Path. 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.

Google Bigquery

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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Elastic Path

About Elastic Path

Elasticpath is a leading provider of headless commerce solutions, enabling businesses to create highly customizable and scalable eCommerce experiences. With Elasticpath, companies can seamlessly integrate commerce capabilities into any digital touchpoint, providing a flexible and dynamic shopping experience for their customers.

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