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Di era sistem digital modern, tantangan terbesar bukan lagi sekadar menyimpan data, melainkan mengalirkan data secara cepat, aman, dan terukur. Ketika jumlah pengguna meningkat, layanan bertambah, dan proses berjalan secara paralel, arsitektur tradis...

In today’s fast-paced world, apps like Zomato, Rapido, or Uber handle millions of data events per second — orders, live tracking, user interactions, and more. How do they manage such massive real-time data flow efficiently without losing messages or ...

Kafka isn’t just “a message queue.” It’s a distributed, high-throughput commit log that moves ridiculous amounts of data with remarkable efficiency. When I started digging into its internals, I expected to find some clever Java code.What I found inst...

Introduction Apache Kafka has become the backbone of modern real-time systems — enabling everything from sensor telemetry and financial transactions to personalized customer experiences. But Kafka, by itself, is complex to deploy, scale, and operate ...

Introduction Apache Kafka is the backbone of modern real-time data architectures. It powers everything from user activity tracking to IoT telemetry, fraud detection, and microservices communication. As an open-source distributed log system, it promis...

In a recent Big Data Analytics lab assignment, we were tasked with ingesting (consuming) data into Databricks from an external system. To tackle this challenge, I explored setting up data producers on a cloud server—leveraging the fact that these ser...
