Introduction to Big Data

이 글은 전공 "빅데이터시스템" 강의 내용을 정리한 글입니다.

데이터의 유형(Types of data)

Structured Data	Unstructured Data
Can be displayed in rows, columns and relational databases	Can not be displayed in rows, columns and relational databases
Numbers, dates, and strings	Images, audio, video, word processing files, e-mails, spreadsheets
Requires less storage	Requires more storage
Estimated 20% of enterprise data	Estimated 80% of enterprise data

빅데이터 성장의 이유(Reason of Big Data Growth)

• Rapid advance in computer hardware
• Rapid advance in social networking

빅데이터의 4가지 V(The FOUR V’s of Big Data)

• Volume - Scale of Data
• Velocity - Analysis of streaming data
• Variety - Different forms of data
• Veracity - Uncertainty of data

빅데이터 분석이란 (What is Big Data Analytics)

• Big Data analytics is a process used to extract meaningful insights, such as hidden patterns, unknown correlation, market trends, customer preferences
• ⇒ 빅데이터 분석은 상관관계, 시장 트렌드, 고객 선호도와 같은 숨겨진 패턴같은 의미있는 insight를 추출하는 과정이다.