At first I was like, "Do I really need to know this?? Is it right for my career to study this??" But wow, this is really so beneficial. It's not just a simple lecture - you learn about the service called Flink, but it seems like a lecture that lets you see beyond that.

I really enjoyed the lecture.

bosterbucheon2980

Most developers are still stuck on Batch and CronJobs when it comes to data processing. However, in real-world production environments, data is generated continuously, and failing to process that flow immediately leads to latency, bottlenecks, and consistency issues. Having personally dealt with real-time recommendations, state synchronization, and event delay problems in high-traffic environments, I’ve often asked myself, "Is batch processing really the right approach for this?" This course begins with that very question. It explores how to use Apache Flink to perform computations the moment data flows, manage state securely, and produce accurate results based on Event Time—all from a practical perspective. Beyond simple theoretical explanations, you will experience how real-time stream processing systems are designed and operated through actual source code and architectures. For those who found real-time processing vague or were curious about the world beyond messaging, this course will provide a clear sense of direction.

jhong

지식공유자의 깜짝할인

Apache Flink, the real-time ultra-low latency platform used by Naver interviewers

Hello Boosta!! It's a difficult platform, but I tried my best to explain and share things as simply as possible. Thank you for your encouraging review!!

실습 중심

backend basics

백엔드이해하기

실시간

toy to portfolio

토이프로젝트

백엔드

Hong

입문

초급

중급이상

자바

Java

도커

Docker

docker-compose

flink

Course Introduction and Materials

Introduction to Apache Flink and Its Architecture

From Basics to Core Concepts for Stream Processing

Data Stream API and Window for Practical Application

State Management

An Example to Write and Run Together