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  5. Google BigQuery

Google BigQuery Extension

馃彚 Data Warehouse路by bluebeeweb路v0.1.0
Pay per use8-40 tok/action
Open in panel
0 capabilities0 actions0 installs

About this extension

Connect your own Google BigQuery project to manage datasets, tables, queries/jobs, and scheduled queries, and audit warehouse cost and health -- from Imperal. Uses your own GCP Service Account -- nothing is hosted or proxied by Imperal beyond the request itself.

What you get

Every capability exposed by Google BigQuery, metered per action and guarded by the two-step safety protocol.

  • connect_bigquerywrite

    Connect your own Google Cloud project by pasting a Service Account JSON key, after checking it actually works against BigQuery.

  • list_connectionsread

    List the connected Google Cloud projects (BigQuery).

  • disconnect_bigquerywrite

    Disconnect a Google Cloud project: deletes the saved Service Account key. Nothing in BigQuery itself is changed.

  • list_datasetsread

    List BigQuery datasets in the connected project, with location and default table expiration.

  • get_datasetread

    Read one BigQuery dataset in full by its id.

  • create_datasetwrite

    Create a new BigQuery dataset in the connected project.

  • delete_datasetwrite

    Permanently delete a BigQuery dataset. Cannot be undone.

  • list_tablesread

    List tables inside one BigQuery dataset.

  • get_tableread

    Read one BigQuery table in full -- schema, row count, size, and partitioning.

  • delete_tablewrite

    Permanently delete a BigQuery table. Cannot be undone.

  • execute_sqlwrite

    Run a SQL query against BigQuery. Always dry-runs first to estimate bytes billed, then executes and returns result rows.

  • get_jobread

    Read one BigQuery job in full by its id -- status, timing, and any error info.

  • list_jobsread

    List recent BigQuery jobs (query runs) in the connected project, most recent first.

  • cancel_jobwrite

    Cancel a running BigQuery job.

  • list_scheduled_queriesread

    List scheduled queries (recurring BigQuery jobs via Data Transfer Service) configured for a location in the connected project.

  • create_scheduled_querywrite

    Create a new scheduled query (recurring BigQuery job) via Data Transfer Service.

  • delete_scheduled_querywrite

    Permanently delete a scheduled query. Cannot be undone.

  • run_scheduled_querywrite

    Manually trigger a scheduled query to run right now, regardless of its schedule.

  • audit_projectread

    Build one aggregated health report across the connected BigQuery project: datasets with no default table expiration, non-partitioned large tables, and recent failed jobs.

Related extensions

More extensions in Data Warehouse ready to enable in one click.

  • SnowflakeConnect your own Snowflake account to run SQL, manage warehouses (create/resize/suspend/resume), databases/schemas/tables, roles/users/grants, tasks, resource monitors, and audit account health and...
  • Microsoft FabricConnect your own Microsoft Fabric tenant (Azure AD Service Principal) to manage workspaces, Lakehouses, Warehouses, Notebooks, Data Pipelines, job runs, and capacities, and audit tenant health -- f...
  • DatabricksConnect your own Databricks workspace to manage clusters, jobs, SQL warehouses, Unity Catalog, repos, and secrets scopes, and audit workspace cost and health -- from Imperal. Uses your own Personal...
  • Amazon RedshiftConnect your own AWS account to manage Redshift provisioned clusters, Redshift Serverless workgroups, databases, and run SQL via the Redshift Data API, and audit warehouse cost and health -- from I...

Ready to use Google BigQuery?

Enable Google BigQuery in your Imperal workspace in one click - 10,000 free starter credits included.

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