New
Join our webinar! Building a customizable and extensible cloud asset inventory at scale
CloudQuery News

Announcing the BambooHR Source Plugin

Joe Karlsson

Joe Karlsson

At CloudQuery, we're constantly adding new source plugins to streamline your data integration processes and enhance your data analytics capabilities.

What is BambooHR? #

BambooHR is a leading HR software provider, designed to simplify and automate various HR tasks, including time-off tracking, employee records management, and performance reviews. It offers a user-friendly interface and robust features that support HR professionals in managing employee data efficiently.

CloudQuery’s New BambooHR Plugin #

The BambooHR source plugin allows you to seamlessly ELT (Extract, Load, Transform) your data from BambooHR into any supported database destination. This integration enables you to perform advanced analytics and gain deeper insights into your HR data.

Example Queries #

Here are some example queries you can run if you sync your data to Postgres using CloudQuery to gain valuable insights into your company's time-off requests:

Monthly Breakdown of Time-Off Requests #

SELECT DATE_TRUNC('month', TO_DATE(start, 'YYYY-MM-DD')) AS month, COUNT(*) AS count
FROM bamboohr_timeoff_requests
GROUP BY DATE_TRUNC('month', TO_DATE(start, 'YYYY-MM-DD'))
ORDER BY month;

Employees with the Most Approved Time-Off Requests #

SELECT employee_id, COUNT(*) AS approved_count
FROM bamboohr_timeoff_requests
WHERE status->>'status' = 'approved'
GROUP BY employee_id
ORDER BY approved_count DESC;

Average Time-Off Amount per Request #

SELECT AVG((amount->>'amount')::numeric) AS average_days_off
FROM bamboohr_timeoff_requests;

Integrating BambooHR with PagerDuty Data #

One of the key benefits of using the BambooHR source plugin is the ability to join your HR data with other critical business data sources like AWS and PagerDuty. This integration allows you to create comprehensive views and gain insights that would otherwise be difficult to obtain.
For example, combining data from BambooHR and PagerDuty allows you to easily identify which employees were on-call during specific incidents and their corresponding time-off records. This is particularly useful for understanding incident response patterns and improving operational efficiency.

Summary #

Integrating BambooHR with your database via the CloudQuery BambooHR source plugin centralizes your HR data and empowers you to extract meaningful insights effortlessly. By leveraging SQL queries, you can transform raw data into actionable intelligence, driving better decision-making and optimizing your HR processes. Furthermore, joining BambooHR data with AWS and PagerDuty data enhances your ability to manage incidents effectively.

Ready to dive deeper?
Join the CloudQuery Discord community to connect with other users and experts.
Ready to dive deeper? Contact CloudQuery here or join the CloudQuery Community to connect with other users and experts. You can also try out CloudQuery locally with our quick start guide or explore the CloudQuery Platform (currently in beta) for a more scalable solution.
Joe Karlsson

Written by Joe Karlsson

Joe Karlsson (He/They) is an Engineer turned Developer Advocate (and massive nerd). Joe empowers developers to think creatively when building applications, through demos, blogs, videos, or whatever else developers need.

Turn cloud chaos into clarity

Find out how CloudQuery can help you get clarity from a chaotic cloud environment with a personalized conversation and demo.

Join our mailing list

Subscribe to our newsletter to make sure you don't miss any updates.

Legal

© 2024 CloudQuery, Inc. All rights reserved.

We use tracking cookies to understand how you use the product and help us improve it. Please accept cookies to help us improve. You can always opt out later via the link in the footer.