
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 Dromo and Google Bigquery
Fetch all the uploaded data.
List all the import schemas.
Retrieve a selected import schema
Remove the import schema.
Creates a new schema.
Deletes rows in a Google BigQuery table that match the condition you provide.
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To start, connect both your Dromo and Google Bigquery accounts to viaSocket. Once connected, you can set up a workflow where an event in Dromo triggers actions in Google Bigquery (or vice versa).
Absolutely. You can customize how Dromo 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 Dromo 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 Dromo 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.
Dromo is a powerful data import platform designed to simplify and streamline the process of importing data into applications. It offers a user-friendly interface and robust features to handle complex data import tasks efficiently, making it ideal for businesses looking to enhance their data management capabilities.
Learn MoreBigQuery is Google's serverless and highly scalable enterprise data warehouse, designed to make all your data analysts productive.
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