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Create a new, empty table in the dataset.

Create table

Add or update one or more columns in a table in BigQuery via the API, so you don't have to create them manually. Useful when you're looking to ensure that a table matches a schema before running an "Insert Rows" operation.

Add or update columns in table

Delete the table specified by table_id from the dataset. If the table contains data, all the data will be deleted.

Delete table

Get job

Gets full details about a Google BigQuery table.

Get table

Insert job

Inserts up to 500 rows into a Google BigQuery table.

Insert rows

Uploads a CSV file to BigQuery, saves the rows into a table.

Insert rows from CSV file

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List job query results

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List all the projects you have in your Google BigQuery account.

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AWS CodePipeline and Google BigQuery integrations couldn’t be easier with the Tray Platform’s robust AWS CodePipeline and Google BigQuery connector, which connects any services without the need for separate integration tools.

AWS CodePipeline and Google BigQuery integrations couldn’t be easier with the Tray Platform’s robust AWS CodePipeline and Google BigQuery connectors, which can connect to any service without the need for separate integration tools.

Integrate AWS CodePipeline and Google BigQuery with any SaaS application or service using the Tray Platform’s generic connectivity options, such as the HTTP Client, Webhook Trigger, and our Connector Builder. Configure them to connect to AWS CodePipeline and Google BigQuery and any other API, database, webhook, and more.

AWS CodePipeline and Google BigQuery integration + automation

AWS CodePipeline and Google BigQuery Connector Details

Popular AWS CodePipeline and Google BigQuery integrations

AWS CodePipeline and Google BigQuery templates