Google BigQuery Tools
Google BigQuery は、大規模なデータ分析のためのフルマネージド データ ウェアハウスであり、膨大なデータセットに対する高速な SQL クエリと機械学習機能を提供します。
AI エージェントで Google BigQuery Tools を使用
Aident Loadout により、Claude Code、Codex、Cursor などの対応エージェントから Google BigQuery Tools を呼び出せます。63 個の対応 Actions から選択できます。 各実行は Audit で確認できます。
Aident Vault で Google BigQuery Tools に一度接続します。エージェントに認証情報を渡さずに、対応 Actions を利用できます。
カテゴリー
Analytics Data料金と支払い
- 料金
- Loadout では無料です。個人接続のアカウントを使用する場合、プロバイダー料金が発生することがあります。
- 統合支払い
- 現在未対応です。必要な場合はプロバイダーアカウントを接続してください。
含まれる Actions
- Googlebigquery Cancel JobTool to cancel a running BigQuery job. This call returns immediately, and you need to poll for the job status to see if the cancel completed successfully. Note that cancelled jobs may still incur costs.
- Googlebigquery Create Capacity CommitmentTool to create a new capacity commitment resource in BigQuery Reservation. Use when you need to purchase compute capacity (slots) with a committed period of usage for BigQuery jobs. Supports various commitment plans (FLEX, MONTHLY, ANNUAL, THREE_YEAR) and editions (STANDARD, ENT…
- Googlebigquery Create ConnectionTool to create a new BigQuery connection to external data sources using the BigQuery Connection API. Use when setting up connections to AWS, Azure, Cloud Spanner, Cloud SQL, Salesforce DataCloud, or Apache Spark.
- Googlebigquery Create Data ExchangeTool to create a new Analytics Hub data exchange for sharing BigQuery datasets. Use when you need to set up a container for data sharing with descriptive information and listings.
- Googlebigquery Create Dataexchanges ListingsTool to create a new listing in a BigQuery Analytics Hub data exchange. Use when you need to share a BigQuery dataset with specific subscribers or make it available for discovery. The dataset must exist and be in the same region as the data exchange.
- Googlebigquery Create DatasetTool to create a new BigQuery dataset with explicit location, labels, and description using the BigQuery Datasets API. Use when the workflow needs to set up a staging/warehouse dataset and correctness of region is critical to avoid downstream job location mismatches. Surfaces 40…
- Googlebigquery Create ListingTool to create a new listing in a data exchange using Analytics Hub API. Use when publishing a BigQuery dataset to make it available for subscription by other users or organizations.
- Googlebigquery Create Locations DatapoliciesTool to create a new data policy under a project with specified location using the v2beta1 BigQuery Data Policy API. Use when you need to set up data masking rules or column-level security for sensitive data. The v2beta1 endpoint uses a nested request structure.
- Googlebigquery Create Query TemplateTool to create a new query template in a BigQuery Analytics Hub Data Clean Room (DCR) data exchange. Use when you need to define predefined and approved queries for data clean room use cases. Query templates must be created in DCR data exchanges only.
- Googlebigquery Create ReservationTool to create a new BigQuery reservation resource to guarantee compute capacity (slots) for query and pipeline jobs. Use when you need to reserve dedicated compute resources for predictable performance and cost management. Reservations can be configured with autoscaling, concur…
- Googlebigquery Create Reservation AssignmentTool to create a BigQuery reservation assignment that allows a project, folder, or organization to submit jobs using slots from a specified reservation. Use when setting up resource allocation for BigQuery workloads. Note: A resource can only have one assignment per (job_type, l…
- Googlebigquery Create RoutineTool to create a new user-defined routine (function or procedure) in a BigQuery dataset. Use when you need to define SQL, JavaScript, Python, Java, or Scala functions/procedures for reusable logic, data transformations, or custom masking. Supports scalar functions, table-valued…
- Googlebigquery Create TableTool to create a new, empty table in a BigQuery dataset. Use when setting up data infrastructure for standard tables, external tables, views, or materialized views. Supports partitioning, clustering, and encryption configuration.
- Googlebigquery Delete DatasetTool to delete a BigQuery dataset specified by datasetId via the datasets.delete API. Before deletion, you must delete all tables unless deleteContents=True is specified. Use when cleaning up test datasets or removing unused data warehouses. Immediately after deletion, you can c…
- Googlebigquery Delete Job MetadataTool to delete the metadata of a BigQuery job. Use when you need to remove job metadata from the system. If this is a parent job with child jobs, metadata from all child jobs will be deleted as well.
- Googlebigquery Delete ModelTool to delete a BigQuery ML model from a dataset. Use when you need to remove a trained machine learning model permanently. The operation deletes the model and cannot be undone.
- Googlebigquery Delete RoutineTool to delete a BigQuery routine by its ID. Use when you need to remove a stored procedure, user-defined function, or table function from a dataset. This operation is irreversible.
- Googlebigquery Delete TableTool to delete a BigQuery table from a dataset. Use when you need to remove a table and all its data permanently. The operation deletes all data in the table and cannot be undone.
- Googlebigquery Get Bigquery ModelTool to retrieve a specific BigQuery ML model resource by model ID. Use when you need detailed information about a trained machine learning model including its configuration, training runs, hyperparameters, and evaluation metrics.
- Googlebigquery Get Connection Iam PolicyTool to get the IAM access control policy for a BigQuery connection resource. Returns an empty policy if the resource exists but has no policy set. Use this to check who has access to a specific connection before modifying permissions.
- Googlebigquery Get DatasetTool to retrieve BigQuery dataset metadata including location via the datasets.get API. Use this before creating jobs/queries if the workflow has been failing with location mismatch to confirm the dataset's region and correct the job location accordingly.
- Googlebigquery Get JobTool to retrieve information about a specific BigQuery job. Returns job configuration, status, and statistics. Use this to check job status after running queries or to get details about job execution.
- Googlebigquery Get Query ResultsTool to get the results of a BigQuery query job via RPC. Use this to retrieve results after running a query, or to check job completion status and fetch paginated results.
- Googlebigquery Get RoutineTool to retrieve a BigQuery routine (user-defined function or stored procedure) by its ID. Use to inspect routine definitions, arguments, return types, and metadata.
- Googlebigquery Get Routine Iam PolicyTool to retrieve the IAM access control policy for a BigQuery routine resource. Returns an empty policy if the routine exists but has no policy set. Use this to check current access permissions before modifying them.
- Googlebigquery Get Service AccountTool to get the service account for a project used for interactions with Google Cloud KMS. Use when you need to retrieve the BigQuery service account email for KMS encryption configuration or key access permissions.
- Googlebigquery Get Table Iam PolicyTool to retrieve the IAM access control policy for a BigQuery table resource. Returns an empty policy if the resource exists but has no policy set. Use this to check current access permissions before modifying them.
- Googlebigquery Get Table SchemaTool to fetch a BigQuery table's schema and metadata without querying row data. Use before generating SQL queries to avoid column name typos and confirm field types and nullable modes. This is especially useful when INFORMATION_SCHEMA access is restricted.
- Googlebigquery Insert AllTool to stream data into BigQuery one record at a time without running a load job. Use when you need immediate data availability or inserting small batches. Supports row-level deduplication via insertId and error handling via skipInvalidRows.
- +34 Actions
プロバイダーのソース
Google BigQuery Tools を使用する Skills
- BigQuery Ethereum データ取得履歴 Ethereum データのために範囲限定された非同期 BigQuery ジョブを実行し、結果を取得します。
- BigQuery での GCP 監査ログ分析エクスポートされた GCP 監査ログテーブルを検証し、限定されたコンプライアンス上の質問に対してアクティビティを照会します。
- BigQuery の ADK エージェント分析ADK 分析テーブルを調査し、範囲を限定した本番エージェントの動作をクエリします。
- BigQuery パーティション分割テーブルの作成BigQuery データセットを調査し、承認済みのパーティション分割テーブルまたはクラスタ化テーブルを 1 つ作成します。
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