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BigQuery integrations

Centralize data and automate business processes with BigQuery integrations

Streamline your business processes by centralizing your BigQuery data. Boost.space connects to your IT tools and helps aggregate their data into central databases. Data centralization serves as the foundation for easy collaboration across teams, process automation across tools, and data analysis with a complete story.

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BigQuery Triggers / Actions

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Watch Query Jobs Completed

Triggers when a query job has completed processing successfully or unsuccessfully.

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.

Write 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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