I am currently running an interior startup! In the past, I didn't need to know about server operation and data analysis, but recently, I thought I needed to know about the perspective and direction of data operation, so I happened to listen to it on the recommendation of an acquaintance. It is very helpful because the lecturer considers the other person's perspective. HDFS may be a big hurdle for me, so I am taking other lectures first. I should recommend it to my acquaintances. I hope you continue to launch good lectures and your business goes well!!!!!

You will learn about the four stages of big data processing [data collection ▶ data storage ▶ data analysis ▶ expression] in a more fun and systematic way through a code lab method consisting of 30% theory + 70% practice 🧑🏻‍🏫

jphil

Big Data Pipeline Master; Tools and Techniques for Success

Hello, Mr. Commania CEO, 

Thank you for coming all this way to listen to my lecture. I know that you must have a lot to worry about while running a company, but it is not easy to take an interest in designing pipelines and get into practice. I hope we can get through this difficult time together. If there is anything I can help you with, please feel free to contact me or post a question here. Fighting!

빅데이터

데이터처리

데이터분석

elasticsearch

여러분들은 빅데이터 프로세싱의 4단계에 해당하는 [데이터 수집 ▶ 데이터 저장 ▶ 데이터 분석 ▶ 표현] 에 대한 내용을 이론 30% + 실습 70%으로 이루어진 코드랩 방식으로 보다 재밌고 체계적으로 학습합니다 🧑🏻‍🏫

J.PHIL

입문

초급

중급이상

Big Data

일래스틱서치

Elasticsearch

아파치 스파크

Apache Spark

키바나

Kibana

아파치 하둡

Hadoop

빅데이터 파이프라인 마스터; 성공을 위한 도구와 기술

Introduction to Big Data

Data Acquisition [Basic]

Data Acquisition [Advanced]

[Session] Git and Github

Data Storage [S3]

Data Storage [HDFS] 이론

Data Storage [HDFS] 실습

Data Analysis [Spark Basic]

Data Analysis [Explore Dataframe]

Data Analysis [Spark Advanced]

Data Visualization [NODE JS] 이론

Data Visualization [NODE JS] 실습

[Session] ELK 1, Elasticsearch

[Session] ELK 2, Kibana and Logstash

Special Lecture

Special Lecture <Docker>