Active with remarks
This application needs additional settings. Please follow the documentation below to create your own connection.

BigQuery

The BigQuery modules enable you to monitor tables and completed query jobs, and create, retrieve, update, or delete datasets and tables in your BigQuery account.

In order to use BigQuery with Boost.space Integrator, it is necessary to have a Google account and a Google Cloud Platform project created.

For the list of available endpoints, refer to the BigQuery API Documentation.

[Note] Note

Boost.space Integrator‘s use and transfer of information received from Google APIs to any other app will adhere to Google API Services User Data Policy.

Connect BigQuery to Boost.space Integrator

  1. Log in to your Boost.space Integrator account, add a BigQuery module to your scenario, and click Create a connection.

  2. Optional: In the Connection name field, enter a name for the connection.

  3. Click the Sign in with Google button and select your Google account.

  4. Review the access information and click Allow.

You have successfully established the connection. You can now edit your scenario and add more BigQuery modules. If your connection requires reauthorization at any point, follow the connection renewal steps here.

Build BigQuery Scenarios

After connecting the app, you can perform the following actions:

Dataset

  • List Datasets

  • Get a Dataset

  • Create a Dataset

  • Update a Dataset

  • Delete a Dataset

Table

  • Watch Tables

  • List Tables

  • Get a Table

  • Create a Table

  • Update a Table

  • Delete a Table

Table Data

  • Watch Rows

  • List Table Data

  • Upload Data (Streaming)

  • Update a File

Query Job

  • Watch Query Jobs Completed

  • List Jobs

  • Write Query

Other

  • Make an API Call