Connect Google Bigquery and onalu to Build Intelligent Automations

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Google Bigquery

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Choose an Action

onalu

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Enable Integrations or automations with these events of Google Bigquery and onalu

Enable Integrations or automations with these events of Google Bigquery and onalu

Actions

Delete Rows

Delete Rows

Deletes rows from a BigQuery table that match the provided WHERE condition.

Run SQL query

Run SQL query

Run a SQL query and return results.

Find Row

Find Row

Find row(s) by specifying a table, a WHERE clause, an optional ORDER BY, and a LIMIT.

Insert Rows

Insert Rows

Insert one or more rows into a BigQuery table.

Update Rows

Update Rows

Update specified fields in rows of a BigQuery table that match the provided WHERE condition.

Create a Table

Create a Table

Creates a new, empty table in the dataset.

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Frequently Asked Questions

How do I start an integration between Google Bigquery and onalu?

To start, connect both your Google Bigquery and onalu accounts to viaSocket. Once connected, you can set up a workflow where an event in Google Bigquery triggers actions in onalu (or vice versa).

Can we customize how data from Google Bigquery is recorded in onalu?

Absolutely. You can customize how Google Bigquery data is recorded in onalu. This includes choosing which data fields go into which fields of onalu, setting up custom formats, and filtering out unwanted information.

How often does the data sync between Google Bigquery and onalu?

The data sync between Google Bigquery and onalu typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.

Can I filter or transform data before sending it from Google Bigquery to onalu?

Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.

Is it possible to add conditions to the integration between Google Bigquery and onalu?

Yes, you can set conditional logic to control the flow of data between Google Bigquery and onalu. 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.