Integrations Namely Google Bigquery
Namely + Google Bigquery

Connect Namely and Google Bigquery to Build Intelligent Automations

Choose a Trigger

Namely

When this happens...

Choose an Action

Google Bigquery

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

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

Actions

Delete Rows

Delete Rows

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

Run a Query

Run a Query

run a sql query against a table in bigquery.

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 Namely and Google Bigquery?

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

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

Absolutely. You can customize how Namely 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.

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

The data sync between Namely and Google Bigquery 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 Namely to Google Bigquery?

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 Namely and Google Bigquery?

Yes, you can set conditional logic to control the flow of data between Namely 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.

Namely

About Namely

Namely is an easy-to-use Human Resources software platform that integrates personnel info, payroll and benefits administration, and goal-setting/performance management into an intuitive user interface.

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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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