Iterable and Google BigQuery integration

Save yourself the work of writing custom integrations for Iterable and Google BigQuery and use n8n instead. Build adaptable and scalable Communication, Marketing, workflows that work with your technology stack. All within a building experience you will love.

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How to connect Iterable and Google BigQuery

Create a new workflow and add the first step

In n8n, click the "Add workflow" button in the Workflows tab to create a new workflow. Add the starting point – a trigger on when your workflow should run: an app event, a schedule, a webhook call, another workflow, an AI chat, or a manual trigger. Sometimes, the HTTP Request node might already serve as your starting point.

Build your own Iterable and Google BigQuery integration

Create custom Iterable and Google BigQuery workflows by choosing triggers and actions. Nodes come with global operations and settings, as well as app-specific parameters that can be configured. You can also use the HTTP Request node to query data from any app or service with a REST API.

Iterable supported actions

Google BigQuery supported actions

Iterable and Google BigQuery integration details

Iterable

Iterable enables marketers to design, improve, and track each interaction throughout the customer journey. It is a cross-channel platform that has more than 1000 customers who benefit from its modern technology and innovative tools.

Iterable node docs + examples

Iterable credential docs

See Iterable integrations

Related categories

Communication Marketing

Google BigQuery

Many businesses use the Google Cloud service BigQuery for data reporting. BigQuery is categorized as an Advanced Data Connector. The amount of data that needs to be processed could be quite large (up to 10,000 columns and tens of millions of rows).

Google BigQuery node docs + examples

Google BigQuery credential docs

See Google BigQuery integrations

Related categories

Data & Storage Development

Other integrations with Iterable

Other integrations with Google BigQuery

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