Google BigQuery integrations and automations

Popular Google BigQuery Use Cases

Do everything in one place

Customize your Google BigQuery integration with the following triggers and actions.

Triggers

When this happens…

Google BigQuery
  • New job completed
    New job completed in BigQuery
  • New row
    New row in a table in BigQuery
  • New rows Batch
    New batch of rows in a table in BigQuery
  • Scheduled query Batch
    New scheduled query using custom SQL in BigQuery

    • Any other trigger you can think up

Actions

Do this…

Google BigQuery
  • Custom action
    Custom action in Google BigQuery (Custom)
  • Get batch of rows by Job ID
    Get batch of rows from query result in BigQuery
  • Insert row
    Insert a row in table in BigQuery
  • Insert rows Bulk
    Insert rows in table in BigQuery
  • Insert rows Batch
    Insert rows in table in BigQuery
  • Load data into BigQuery
    Load data into table on BigQuery
  • Run custom SQL in BigQuery
    Run custom SQL in BigQuery
  • Select rows
    Select rows in a table in BigQuery
  • Select rows using custom SQL
    Select rows using custom SQL in BigQuery

    • Any other action you can think up

  • Show all 9

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Pre-built Google BigQuery Automations

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About Google BigQuery Integrations

To make agile business decisions, you need access to good data. A cloud database lets you secure and organize your data, so you have the insights you need to make fast decisions.

Google BigQuery is an analytic data warehouse that lets you house all your critical data on one streamlined platform. It includes features, like a proprietary SQL database engine, to help you find your files in the cloud.

Google BigQuery can also do much more. With Workato, you can integrate it with all your applications to automate file storage, database management, SQL queries, and data insights.

How you can integrate Google BigQuery

  • Immediately access cloud data.
  • Use a single platform for all your cloud data.
  • Guide your decisions with data.
  • Gain more time to manage data while spending less time on infrastructure management.