Query, list, and insert data in Google BigQuery
Google BigQuery is a AACFlow integration in the Databases category. AACFlow is the AI workspace where teams build and deploy AI agents. AACFlow's Google BigQuery integration provides 11 tools that AI agents can use inside AACFlow's visual workflow builder. Google BigQuery connects with one-click OAuth. Get started at aacflow.io.
Последнее обновление
Connect to Google BigQuery to run SQL queries, list datasets and tables, get table metadata, and insert rows.
Зарегистрируйтесь на aacflow.io за считаные секунды. Рабочее пространство готово сразу.
Откройте рабочее пространство, перетащите блок Google BigQuery в конструктор воркфлоу и подключите аккаунт в один клик через OAuth.
Выберите нужный инструмент, подключите ИИ-агента для рассуждений или преобразования данных и запустите. Ваша автоматизация Google BigQuery работает.
Готовые шаблоны с Google BigQuery. Нажмите на любой, чтобы сразу создать его.
Инструментов Google BigQuery, доступных агентам AACFlow: 11.
Run a SQL query against Google BigQuery and return the results
Fetch results for a previously submitted BigQuery job, or the next page of a Run Query result
List all datasets in a Google BigQuery project
Create a new dataset in a Google BigQuery project
Delete a dataset from a Google BigQuery project
List all tables in a Google BigQuery dataset
Get metadata and schema for a Google BigQuery table
Create a new table in a Google BigQuery dataset
Delete a table from a Google BigQuery dataset
Preview rows from a Google BigQuery table without running a query. Pair with Get Table to know the column order.
Insert rows into a Google BigQuery table using streaming insert
AACFlow's Google BigQuery integration adds 11 tools to the AI agents you build in AACFlow's visual workflow builder. Query, list, and insert data in Google BigQuery.
