With BigQuery modules in Boost.space Integrator, you can monitor tables and completed query jobs, and create, retrieve, update, or delete datasets and tables in your BigQuery account.
To use the BigQuery modules, you must have a Google account and a project created. You can create an account at Google Cloud Platform.
Refer to the BigQuery API Documentation for a list of available endpoints.
![[Note]](https://docs.boost.space/wp-content/themes/bsdocs/docs-parser/HTML/css/image/note.png) |
Note |
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| 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. |
To establish the connection in Boost.space Integrator, you can follow one of two guides. The first guide is intended for users who want the integration to be available to users within their organization, while the second guide is for those who want to make it available to any test user with a Google account.
Note: If you choose the second option, you will need to wait for Google approval before it becomes available.
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
- Get Query Results by Job ID
- Run a Query
Other
- Make an API Call