Integrations Google Bigquery Custom Views
Google Bigquery + Custom Views

Connect Google Bigquery and Custom Views to Build Intelligent Automations

Choose a Trigger

Google Bigquery

When this happens...

Choose an Action

Custom Views

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Enable Integrations or automations with these events of Google Bigquery and Custom Views

Enable Integrations or automations with these events of Google Bigquery and Custom Views

Actions

Delete Rows

Delete Rows

Deletes rows from a BigQuery table that match the provided WHERE condition.

Run SQL query

Run SQL query

Run a SQL query and return results.

Find Row

Find Row

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

Insert Rows

Insert Rows

Insert one or more rows into a BigQuery table.

Update Rows

Update Rows

Update specified fields in rows of a BigQuery table that match the provided WHERE condition.

Create a Table

Create a Table

Creates a new, empty table in the dataset.

Request a new Action for Google Bigquery

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Frequently Asked Questions

How do I start an integration between Google Bigquery and Custom Views?

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

Can we customize how data from Google Bigquery is recorded in Custom Views?

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

How often does the data sync between Google Bigquery and Custom Views?

The data sync between Google Bigquery and Custom Views 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 Custom Views?

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 Custom Views?

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

About Custom Views

Custom Views allows users to personalize how data, dashboards, and workflows are displayed. It enables filtering, sorting, and creating role-based or task-specific views for improved productivity. By tailoring interfaces to individual or team needs, Custom Views helps organizations boost efficiency, collaboration, and decision-making.

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