Widyawan, S.T., M.Sc., Ph.D.
As an assistant professor at Universitas Gadjah Mada, I was in search of an alternative platform to replace Ambari, now defunct, which is used for managing our big data server in University. During my exploration, I discovered Ilum, a big data platform that turned out to be a perfect fit for my research needs, particularly in processing mobility data from a National Mobile Operator (NMO).
What makes Ilum especially intriguing is its foundation on Kubernetes, which significantly simplifies deployment and management. This aspect alone ensures scalability and efficiency, essential for handling large-scale datasets.
Beyond research, Ilum has immense potential in the academic realm. As an educator, I see this platform as a valuable tool for teaching data engineering and analytics courses. Its capabilities offer students hands-on experience in dealing with real-world big data challenges, preparing them for industry demands.
Ilum strikes a balance between cutting-edge technology and user-friendliness, making it an excellent choice for both researchers and educators.
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DTETI UGM bekerja sama dengan Ilum, sebuah platform dengan tagline “Free Data Lakehouse for a Cloud Native World” yang mendukung pengelolaan data secara efisien melalui arsitektur cloud-native. Kolaborasi ini memungkinkan mahasiswa DTETI untuk menjalankan penelitian berbasis data menggunakan fitur-fitur canggih seperti manajemen cluster, eksekusi tugas dengan Spark, dan monitoring terpusat. Dengan kerja sama ini, DTETI memfasilitasi mahasiswa untuk memperoleh pengalaman praktis dalam teknologi data terkini, mendukung inovasi di bidang teknologi informasi dan rekayasa data.