Analyze data effectively with Google BigQuery and Boost.space integration.
Google BigQuery is a cloud-based data warehouse that enables fast and scalable data analytics. By connecting Google BigQuery with Boost.space, businesses can centralize analytical workflows, automate data integration, and enhance collaboration. This integration ensures efficient processing of large datasets, providing valuable insights for decision-making.
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BigQuery Modules (20)
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Watch Query Jobs Completed
Triggers when a query job has completed processing successfully or unsuccessfully.
Watch Rows
Triggers when a new row is inserted in a table.
Watch Tables
Triggers when a new table is created in a dataset.
Upload a File
Uploads a new file.
Create a Dataset
Creates a new dataset.
Upload Data (Streaming)
Creates a new row of data in a table.
Create a Table
Creates a new, empty table in the dataset.
Delete a Dataset
Deletes the dataset specified by ID.
Delete a Table
Deletes the table specified by ID.
Get a Dataset
Returns the dataset specified by dataset ID.
Get a Table
Gets the specified table resource by table ID.
Make an API Call
Performs an arbitrary authorized API call.
Update a Dataset
Updates information in an existing dataset.
Update a Table
Updates information in an existing table.
Run a Query
Runs a BigQuery SQL query synchronously and returns query results if the query completes within a specified timeout.
List Datasets
Lists all datasets in the specified project to which the user has been granted the READER dataset role.
List Jobs
Lists all jobs that user started in the specified project.
List Table Data
Lists the content of a table in rows.
List Table Data (Deprecated)
Lists the content of a table in rows.
List Tables
Lists all tables in the specified dataset.
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