Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

셀프서비스 Stream Designer로 시스템 강화하기

SK AI SUMMIT 2024 via YouTube

Overview

Learn how SK Hynix implemented a self-service Stream Designer platform to enhance semiconductor manufacturing processes in this 23-minute technical presentation from SK TECH SUMMIT 2022. Discover how the platform, built on Kafka Broker, Connector, and ksqlDB, enables real-time data manipulation and verification in semiconductor manufacturing's 24/7 non-stop operations. Explore use cases demonstrating how users can easily clone real-time data to sandboxes for manipulation, validate new real-time data streams, and deploy them to production environments. Understand how this DevOps solution reduced data processing turnaround time and computing resource costs while handling massive real-time data streams from equipment and systems. Presented by Jaeseung Park, a Big Data Engineer at SK Hynix, who specializes in real-time data platform architecture and data catalog services.

Syllabus

[SK TECH SUMMIT 2022] 셀프서비스 Stream Designer로 나의 시스템을 더욱 강력하게

Taught by

SK AI SUMMIT 2024

Reviews

Start your review of 셀프서비스 Stream Designer로 시스템 강화하기

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.