Connect BigQuery integrations
Structure your enterprise analytics by integrating BigQuery with Make to easily run queries and manage datasets. Linking this cloud warehouse to Make lets you instantly stream fresh database rows, monitor completed query jobs, and distribute reports across 3,000 integration apps. Sign up for free today to build your first serverless analytics sync.
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Creates a new dataset.
Creates a new, empty table in the dataset.
Deletes the dataset specified by ID.
Deletes the table specified by ID.
Retrieves results of a specified query.
Returns the dataset specified by dataset ID.
Gets the specified table resource by table ID.
Lists all datasets in the specified project to which the user has been granted the READER dataset role.
Lists all jobs that user started in the specified project.
Connect any app with BigQuery
Popular BigQuery workflows.
Connect BigQuery with Make to automate your data. Sync reports, update databases, and simplify your daily workflows.
Supercharge Your BigQuery Data Pipelines with Make Automation
Use Make to connect BigQuery with Google Forms, Excel, Google Sheets, and Airtable. Schedule SQL queries, update tables, and build data pipelines without writing code.
Automatically stream new data from Google Forms or Excel spreadsheets directly into BigQuery without manual file uploads.
Export your BigQuery analysis directly to Google Sheets or Airtable on a schedule so your team always has the latest insights.
Set up and run your SQL queries automatically at regular intervals without writing custom scripts or cron jobs.
Keep your data warehouse current by triggering instant table updates as soon as new information is submitted.
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
Traditional no-code iPaaS platforms are linear and non-intuitive. Make allows you to visually create, build, and automate without limits.
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