IntegrationsChatlayerGoogle Bigquery
Chatlayer + Google Bigquery

Connect Chatlayer and Google Bigquery to Build Intelligent Automations

Choose a Trigger

Chatlayer

When this happens...

Choose an Action

Google Bigquery

Automatically do this!

Ready to use Chatlayer and Google Bigquery automations

Actions and Triggers

When this happensTriggers

A trigger is an event that starts a workflow.

New Bot

New Bot

Triggered when a new bot is created.

Request a new Trigger for Chatlayer

Do thisActions

Action is the task that follows automatically within your Chatlayer integrations.

Send Message

Send Message

Sends a message to a user through Chatlayer.

Create Channel

Create Channel

Creates a Channel.

Delete Channel

Delete Channel

Delete an existing channel.

Extract NLP Result

Extract NLP Result

Extract results from the Chatlayer NLP models of your bots.

Run a Query

Run a Query

run a sql query against a table in bigquery.

Find Row

Find Row

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

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Frequently Asked Questions

How do I start an integration between Chatlayer and Google Bigquery?

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

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

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

How often does the data sync between Chatlayer and Google Bigquery?

The data sync between Chatlayer and Google Bigquery 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 Chatlayer to Google Bigquery?

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 Chatlayer and Google Bigquery?

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

Chatlayer

About Chatlayer

Chatlayer is a powerful AI-driven platform designed to create, manage, and optimize chatbots for various communication needs. It enables businesses to automate customer interactions, enhance user engagement, and improve customer support through intelligent conversational agents.

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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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