Connect Google Bigquery and Keka to Build Intelligent Automations

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Google Bigquery

When this happens...

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Keka

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Actions and Triggers

When this happensTriggers

A trigger is an event that starts a workflow.

New Employee Added

New Employee Added

Triggered when a new employee is added to Keka.

Request a new Trigger for Google Bigquery

Do thisActions

Action is the task that follows automatically within your Google Bigquery integrations.

Delete Rows

Delete Rows

Deletes rows in a Google BigQuery table that match the condition you provide.

Run SQL Query

Run SQL Query

Run a SQL query on Google BigQuery and return the results.

Insert Rows

Insert Rows

Adds one or more rows to a BigQuery table.

Update Rows

Update Rows

Change specific fields for rows in a BigQuery table that match the rules you provide.

Create Table

Create Table

Creates a new, empty table in a BigQuery dataset.

List BigQuery Projects

List BigQuery Projects

Lists the BigQuery projects you have access to.

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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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