n03192296980gbp1050

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

인프런 10주년! 사랑주간 전체 할인

Big Data Pipeline Master; Tools and Techniques for Success

빅데이터

데이터처리

데이터분석

elasticsearch

입문

초급

중급이상

Big Data

일래스틱서치

Elasticsearch

아파치 스파크

Apache Spark

키바나

Kibana

아파치 하둡

Hadoop

Introduction to Big Data

Data Acquisition [Basic]

Data Acquisition [Advanced]

[Session] Git and Github

Data Storage [S3]

Data Storage [HDFS] Theory

Data Storage [HDFS] Practice

Data Analysis [Spark Basic]

Data Analysis [Explore Dataframe]

Data Analysis [Spark Advanced]

Data Visualization [NODE JS] Theory

Data Visualization [NODE JS] Practice

[Session] ELK 1, Elasticsearch

[Session] ELK 2, Kibana and Logstash

Special Lecture

Special Lecture <Docker>