Data processing migration optimizes costs and efficiency in HR with Apache Beam and Dataflow

Category

Project

Area

Human resources

Industry

Motors and automation

Company size

Large enterprise

Project Duration

5 months

Challenge

The Human Resources department faced high operational and renewal costs associated with using the Dataprep platform for data transformation. A solution was needed to reduce expenses without compromising quality, efficiency, or flexibility in data processing.

Proposed solution

Dojo led the migration of data transformations from Dataprep to a custom solution based on Apache Beam, executed on Dataflow. This approach provided greater control and process optimization, eliminating the need for costly licenses.

01

Data pipeline restructuring

All transformations were rewritten in Apache Beam/Python, maintaining business rules and requirements.

02

Scalable execution on Dataflow

Implementation of a robust and flexible infrastructure to process HR data continuously and efficiently.

Results achieved

01

Cost reduction

Eliminated Dataprep licensing costs, generating significant savings.

02

Automation and efficiency

Optimized data transformation processes, ensuring higher quality and reliability.

03

Scalability

A solution designed to meet future and growing demands.

04

Technological autonomy

Adoption of open-source technologies, reducing dependency on proprietary solutions.