πŸ•ΈοΈ Jangan Mulai Project Knowledge Graph Kamu dengan “Perfect Ontology”!

Membangun Knowledge Graph (KG) itu terlihat seksi: menghubungkan semua data perusahaan menjadi satu jaringan pintar. Tapi realitanya? Banyak inisiatif KG yang gagal total alias “mati sebelum berkembang”. Artikel dari The Ontologist ini membedah alasan kegagalan tersebut dan cara menghindarinya. Mari kita ringkas! πŸ‘‡ πŸ›‘ 1. The Problem (Masalah Utama)Kesalahan terbesar data engineer atau ontologist pemula … Read moreπŸ•ΈοΈ Jangan Mulai Project Knowledge Graph Kamu dengan “Perfect Ontology”!

🎑 Data Network Flywheel: Saat Database Berubah Menjadi Ekosistem

Kenapa platform seperti Snowflake atau Databricks valuasinya bisa meroket? Jawabannya bukan cuma karena “teknologi mereka cepat”, tapi karena mereka berhasil menciptakan Data Network Flywheel. Artikel ini membahas evolusi produk data dari sekadar “alat simpan” menjadi “jaringan ekonomi”. Mari kita bahas strateginya! πŸ‘‡ πŸ›‘ 1. The Problem (Masalah Utama)Banyak produk data tradisional (SaaS/Database) terjebak dalam pertumbuhan … Read more🎑 Data Network Flywheel: Saat Database Berubah Menjadi Ekosistem

🏎️ Pelajaran Mahal Developer AI: Jangan Bikin AI Pinter Dulu, Bikin Cepat Dulu! πŸ“‰

Sering nemu aplikasi AI yang jawabnya super pinter, tapi loading-nya bikin emosi (bisa 10-20 detik)? Ternyata itu kesalahan fatal dalam desain produk.Artikel dari Kix.dev berjudul “First make it fast, then make it smart” membongkar kenapa obsesi kita sama model tercanggih (GPT-4/Opus) justru membunuh UX.Ini bedahannya: πŸ”— Baca Artikelnya: https://kix.dev/first-make-it-fast-then-make-it-smart/Β  #AIEngineering #UXDesign #ProductManagement #Latency #DevOps #SoftwareArchitecture … Read more🏎️ Pelajaran Mahal Developer AI: Jangan Bikin AI Pinter Dulu, Bikin Cepat Dulu! πŸ“‰

Apache Hadoop: What is that & how to install and use it? (Part 1)

Next: How to install a standalone Hadoop Part 1: Understanding Apache Hadoop as a Big Data Distributed Processing & Storage Cluster In the last post, I discussed on which occasion we prefer distributed approach such as Hadoop and Spark over the monolithic approach. I will discuss more detail about Apache Hadoop in this article. This … Read moreApache Hadoop: What is that & how to install and use it? (Part 1)

Big Data & AI landscape 2018

As described by AgileEngine (https://agileengine.com/megatrends-in-big-data/), there are four megatrends in big data in 2019, i.e.:1) From “big data” to “just data” because most organizations currently already embrace big data. 2) machine learning is the new engine after many organizations suffer creating value from big data. 3) everyone to the cloud because of the following benefits: … Read moreBig Data & AI landscape 2018

Arista, a Linux-based networking devices

For years, the networking industry is dominated by Cisco and its operation system, IOS. IOS, IMHO, is not designed to be customized by the users. Configuration, monitoring, and O&M should be done manually lines by lines on Cisco IOS. Revolution has occurred in the networking operating system. Disruptive switches like Arista and bare-metal switches that … Read moreArista, a Linux-based networking devices

Container on ARM SBSc

Most single-board computers (SBCs) today are powered by ARM. Containerization on SBCs like Raspberry Pi or Orange Pi brings so much flexibility in a Smart Home project, i.e., modular, scalable, decoupled, and interconnectivity.

Spin up Oracle database in minutes using Docker

Oracle database is one of most wanted skill perhaps until today. As far as I know, compared to its rivals such as MySQL and Postgres, its installation requires substantial effort. The application itself also draws huge memory and storage. Today, Oracle is contained in a ready-to-use container. Only in minutes, an Oracle instance could be … Read moreSpin up Oracle database in minutes using Docker

Big Data Application & eTOM

Which department in an enterprise is concerned with a certain big data objective? The most compelling answer is to combine the eTOM framework with big data use cases. To understand how the big data applications are implemented in practices, we need to pinpoint the applications on the business processes in an organization. For such purpose, we … Read moreBig Data Application & eTOM

Blockchain in KLM @Blockchain Expo 2018

Since early 2018, KLM put blockchain technology in their backend for easing data sharing among parties in the operation & maintenance lifecycle.