I think this is a great course with a lot of content and is a good place to start. Thank you for preparing this course.

귤껍데기

This is a code lab-based class where you will directly build a big data system or distributed processing system cluster (HDFS, Zookeeper, Spark, Zeppelin) that guarantees high availability.

jphil

Big Data Cluster Build Package; Roadmap to Success

cluster

클러스터

빅데이터

실습 중심

High Availability가 보장되는 빅데이터 시스템 또는 분산처리 시스템 클러스터 (HDFS, Zookeeper, Spark, Zeppelin) 를 직접 구축해보는 코드랩 위주의 수업입니다.

J.PHIL

입문

초급

중급이상

Big Data

아파치 스파크

Apache Spark

아파치 하둡

Hadoop

Data Engineering

데이터 엔지니어링

빅데이터 클러스터 구축 패키지; 성공을 향한 로드맵

Introduction to Course

이론] Distributed File System

이론] Intro to Big Data Frameworks

이론] About SPOF and High Availability (고가용성)

이론] About HDFS Federation

이론] Final Wrap Up

이론] Background before CODELAB :)

코드랩-1] Introduction to Codelab

코드랩-2] Launch Base Node and Install Essential Settings

코드랩-4] Create 5 Nodes by My AMI

코드랩-5] All About Hadoop Setup

코드랩-6] All About Zookeeper Setup

코드랩-7] Clone Frameworks to Other Nodes

코드랩-8] Start and Demo Hadoop and Zookeeper Daemons

코드랩-9] All About WEB UI Setup

코드랩-10] All About Spark Setup and Demo Spark Job

코드랩-11] Demo Automatic Failover on HDFS High Availability

코드랩-12] Zeppelin Setup and Demo on Big Data Cluster

코드랩] Final Wrapup 😊

Closing & Promotion 👩🏼‍💻