Integrations Google Bigquery Voice Flow
Google Bigquery + Voice Flow

Connect Google Bigquery and Voice Flow to Build Intelligent Automations

Choose a Trigger

Google Bigquery

When this happens...

Choose an Action

Voice Flow

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Enable Integrations or automations with these events of Google Bigquery and Voice Flow

Enable Integrations or automations with these events of Google Bigquery and Voice Flow

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 Voice Flow?

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

Can we customize how data from Google Bigquery is recorded in Voice Flow?

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

How often does the data sync between Google Bigquery and Voice Flow?

The data sync between Google Bigquery and Voice Flow 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 Voice Flow?

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 Voice Flow?

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

About Voice Flow

Voice Flow is a platform that allows users to design, prototype, and build voice applications without needing to write code. It is ideal for creating voice experiences for devices like Amazon Alexa and Google Assistant, enabling users to bring their voice app ideas to life with ease.

Learn More