IntegrationsGoogle BigqueryKeka
Google Bigquery + Keka

Connect Google Bigquery and Keka to Build Intelligent Automations

Choose a Trigger

Google Bigquery

When this happens...

Choose an Action

Keka

Automatically do this!

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

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

Actions

Run a Query

Run a Query

run a sql query against a table in bigquery.

Get Rows for Job Completed

Get Rows for Job Completed

Gets batch of rows from completed jobs in BigQuery

Find Row

Find Row

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

Find One Row

Find One Row

Find a row by specifying a table, a WHERE clause, an optional ORDER BY. Optionally, create a row if none are found.

Add New Employee

Add New Employee

Adds a new employee to the Keka HR system.

Search Employee by Email

Search Employee by Email

Search for an employee using their email address to retrieve their details.

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Frequently Asked Questions

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

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

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

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

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

The data sync between Google Bigquery and Keka 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 Keka?

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 Keka?

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

About Keka

Keka is a comprehensive HR and payroll management platform designed to streamline and automate various human resource processes. It offers features such as employee management, attendance tracking, leave management, payroll processing, and performance evaluation, making it an essential tool for businesses looking to enhance their HR operations.

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