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Connect BigQuery integrations

Query your enterprise data warehouse to instantly feed machine learning models and extract AI-driven insights with BigQuery. Connecting this platform to over 3,000 integration apps lets you automate real-time data ingestion, run SQL continuous queries, and trigger instant webhook actions. Sign up for a free account today to automate your cloud data lifecycle.

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Build your BigQuery integrations.

Unlock the power of your data by using Make to build automated workflows with BigQuery. Connect BigQuery to your tech stack and automate data pipeline transfers. Try Make today to integrate BigQuery.

BigQuery
Create a Dataset

Creates a new dataset.

Action
BigQuery
Create a Table

Creates a new, empty table in the dataset.

Action
BigQuery
Delete a Dataset

Deletes the dataset specified by ID.

Action
BigQuery
Delete a Table

Deletes the table specified by ID.

Action
BigQuery
Get Query Results by Job ID

Retrieves results of a specified query.

Action
BigQuery
Get a Dataset

Returns the dataset specified by dataset ID.

Action
BigQuery
Get a Table

Gets the specified table resource by table ID.

Action
BigQuery
List Datasets

Lists all datasets in the specified project to which the user has been granted the READER dataset role.

Search
BigQuery
List Jobs

Lists all jobs that user started in the specified project.

Search

Connect any app with BigQuery

Popular BigQuery workflows.

Connect BigQuery to your tech stack using Make. Automate key data tasks and build smarter, faster workflows.

Automate BigQuery Integrations and Streamline Your Data Workflows

Automate your data pipelines by connecting BigQuery with Google Forms, Excel, Google Sheets, and Airtable. Instantly sync information, schedule SQL queries, and share reports with your team automatically.

Effortless data ingestion

Automatically pipe information from Google Forms and Excel directly into your BigQuery tables without writing a single line of code.

Automated reporting and sharing

Keep your team updated by automatically exporting BigQuery data directly to Google Sheets or Airtable on a regular schedule.

Hassle-free query scheduling

Set your SQL queries to run automatically at specific times or intervals to keep your data analysis fresh.

Real-time database updates

Instantly append new records to BigQuery tables the moment someone submits a Google Form or adds an Excel row.

FAQ

Start by registering for Make. As a new Make user, you’ll automatically be assigned a free account. Once your account is set up, you can start creating your first scenarios. We recommend starting with our step-by-step video tutorial.

A scenario represents a workflow or a project of your own creation, and it is made up of a series of modules that automate apps and services. Creating a scenario allows you to transfer and transform data between apps and services via these modules to automate anything and improve the way you work.

Modules are the main building blocks of automation in Make. Modules represent actions that Make performs with an app, like creating, updating, or deleting data.

Mapping links the modules in your scenario. When you map an item, you connect the data retrieved by one module to another module to perform the desired action. For example, you can map email addresses and subject lines to create a spreadsheet using this data.

How it works

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