Digital competencies, such as big data processing, have become a key challenge for industries in the digital era.
To prepare human resources with digital expertise, the Department of Electrical Engineering and Information Engineering (DTETI) at the Faculty of Engineering, Universitas Gadjah Mada (FT UGM), has partnered with ILUM, a United State-based big data company, to support student and faculty research and learning.
This collaborative partnership aims to enhance the quality of education, research, and innovation to drive both national and international research efforts.
ILUM provides a computational data processing platform powered by Kubernetes orchestration.
Its open-source platform allows users to integrate multiple big data tools within a single ecosystem.
As a university committed to leveraging digital technology to improve educational quality, students and faculty have warmly welcomed this partnership.
Dr. Widyawan, a faculty member at DTETI, explained that the collaboration aims to bridge the academic sector with national and global industries.
“Students will gain hands-on experience with the latest digital technologies, while companies benefit from product innovation and exposure to the academic world,” he said during an interview on Wednesday, Dec. 4, 2024.
According to him, ILUM’s platform simplifies deployment and management processes.
Its Kubernetes-based technology offers scalability and efficiency, which are crucial for handling large-scale data.
Dr. Widyawan sees ILUM as having significant potential in academia, particularly in teaching students data analytics techniques.
The platform provides practical experience in managing big data, addressing one of the key challenges of the digital age.
“This partnership offers students free and unlimited access to the platform, which will also undergo annual evaluations,” he added.
He hopes the collaboration will successfully merge cutting-edge technology with user-friendliness, making it a practical learning tool.
A similar sentiment was shared by DTETI student Dinda Sabela, who uses ILUM to process her thesis data.
Her research involves comparing three computational environments: local Python, local Spark, and Spark clusters.
She integrated six High-Performance Computing (HPC) systems within ILUM’s ecosystem, enabling her to process data on a single platform with consistent resource capacity.
“With ILUM’s compatibility, I don’t have to worry about managing storage for data processing, logs, or where the processes run. It simplifies managing large datasets and tracking logs significantly,” Sabela explained.
ILUM is also equipped with a tracker feature, allowing users to monitor progress on the platform. Additionally, several features streamline computational processes, eliminating the need for manual coding.
The DTETI UGM and ILUM collaboration has unlocked the potential for big data applications across various fields.
Guntur Cahyono, another DTETI student, expressed keen interest in ILUM’s use of big data in industry.
“ILUM opens up many potential use cases to explore with big data. I’m eager to explore its analytics and practical applications,” he concluded.
Author: Tasya
Editor: Gusti Grehenson
Photo: Freepik
Post-editor: Lintang