
When this happens...

Automatically do this!
Delete Rows
Run SQL Query
Insert Rows
Update Rows
Create Table
List BigQuery Projects
List Datasets in Project
List Tables In Dataset
Enable Integrations or automations with these events of pdf4me and Google Bigquery
Rotate all the pages of a PDF document.
Reduce the file size of a PDF document.
Analyze a PDF from a URL to determine its document class using PDF4me and return classification results, the stored file URL, file name, and base64 content.
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.

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To start, connect both your pdf4me and Google Bigquery accounts to viaSocket. Once connected, you can set up a workflow where an event in pdf4me triggers actions in Google Bigquery (or vice versa).
Absolutely. You can customize how pdf4me data is recorded in Google Bigquery. This includes choosing which data fields go into which fields of Google Bigquery, setting up custom formats, and filtering out unwanted information.
The data sync between pdf4me and Google Bigquery 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 pdf4me and Google Bigquery. 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.
PDF4me is a tool for pdf conversion, splitting, merging, make them PDF/A compliant, protect documents etc.
Learn MoreBigQuery is Google's serverless and highly scalable enterprise data warehouse, designed to make all your data analysts productive.
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