
When this happens...

Automatically do this!
Enable Integrations or automations with these events of Google Bigquery and MFP in the Cloud
Deletes rows in a Google BigQuery table that match the condition you provide.
Run a SQL query on Google BigQuery and return the results.
Adds one or more rows to a BigQuery table.
Change specific fields for rows in a BigQuery table that match the rules you provide.
Creates a new, empty table in a BigQuery dataset.
Lists the BigQuery projects you have access to.

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To start, connect both your Google Bigquery and MFP in the Cloud accounts to viaSocket. Once connected, you can set up a workflow where an event in Google Bigquery triggers actions in MFP in the Cloud (or vice versa).
Absolutely. You can customize how Google Bigquery data is recorded in MFP in the Cloud. This includes choosing which data fields go into which fields of MFP in the Cloud, setting up custom formats, and filtering out unwanted information.
The data sync between Google Bigquery and MFP in the Cloud typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between Google Bigquery and MFP in the Cloud. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
BigQuery is Google's serverless and highly scalable enterprise data warehouse, designed to make all your data analysts productive.
Learn MoreMFPInTheCloud is a productivity app that allows you to manage all your MFPs with a single and simple application, create and design flows with the ability to use OCR, document conversions, PDF signing, functions and more than 500 processing tools.
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