Google BigQuery × Tines

Integrating Tines’ powerful automation with Google BigQuery’s robust data analytics capabilities allows organizations to streamline and enhance their data-driven decision-making processes efficiently.

Pre-built templates

With Tines, you can easily take any action that has a defined API. We've already pre-built some of the most popular ones for you, so you can build quickly.

Update information in an existing table
Update information in an existing routine
Update information in an existing dataset
Update a row access policy
Stream data into BigQuery one record at a time
Start a new asynchronous job
Run a BigQuery SQL query synchronously
RPC to list projects to which the user has been granted
RPC to get the service account for a project
Return the dataset specified by datasetID
Return information about a specific job
Restores a dataset which is within time travel window based on dataset ID
Request the deletion of the metadata of a job
Request that a job be cancelled
MCP Server - BigQuery Jobs
List all tables in the specified dataset
List all row access policies on the specified table
List all routines in the specified dataset
List all models in the specified dataset
List all jobs that you started in the specified project

Build your own connections

With Tines, you can easily take any action that has a defined API using an HTTP request. To build even more quickly, copy a cURL command and paste it into the storyboard.

cURL request

curl -v -X GET --location "https://api.nasa.gov/neo/rest/v1/neo/browse?api_key=DEMO_KEY" -H 'Content-Type: application/json'

Paste in your Tines story

Full workflow examples

Explore pre-built workflows for Google BigQuery. Use them for inspiration or as a starting point to build your custom automation solution.

Make a query in Google BigQuery

Query datasets in Google BigQuery with complex SQL statements and retrieve results as JSON.

Tools

Google

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