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.

Google BigQuery

Pre-built templates

With Tines Stories, 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.

Create a new empty dataset
Create a row access policy
Delete a row access policy
Delete provided row access policies
Delete the dataset specified by the datasetId value
Delete the model specified
Delete the routine specified by routine ID from the dataset
Delete the table specified by tableId from the dataset
Get the specified model resource by model ID
Get the specified routine resource by routine ID
Get the specified row access policy by policy ID
Get the specified table resource by table ID
List all datasets in the specified project
List all jobs that you started in the specified project
List all models in the specified dataset
List all routines in the specified dataset
List all row access policies on the specified table
List all tables in the specified dataset
List the content of a table in rows
MCP Server - BigQuery Jobs

Build your own connections

With Tines Stories, 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 story

HTTP requestRequest toapi.nasa.gov

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.

Connect quickly

It takes minutes, not months, to connect to tools in Tines Stories.

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Tines × Google BigQuery | Templates | Tines Stories | Tines