Integrations Google Bigquery decision journal
Google Bigquery + decision journal

Connect Google Bigquery and decision journal to Build Intelligent Automations

Choose a Trigger

Google Bigquery

When this happens...

Choose an Action

decision journal

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Enable Integrations or automations with these events of Google Bigquery and decision journal

Enable Integrations or automations with these events of Google Bigquery and decision journal

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 decision journal?

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

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

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

How often does the data sync between Google Bigquery and decision journal?

The data sync between Google Bigquery and decision journal 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 decision journal?

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 decision journal?

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

Google Bigquery

About Google Bigquery

BigQuery is Google's serverless and highly scalable enterprise data warehouse, designed to make all your data analysts productive.

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decision journal

About decision journal

Decision Journal helps you to become a better decision maker by keeping track of your decisions and reviewing how they turn out.

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