Download - MS BI for BigData
![Page 1: MS BI for BigData](https://reader034.vdocuments.pub/reader034/viewer/2022052307/55850866d8b42aae2f8b5204/html5/thumbnails/1.jpg)
Big Data 와 DQ를 통한 게임 분석
Big Data ?? DQ ??
데이터분석 !!
Level 200
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소개
강성욱 김상수
SQL Server 운영과 튜닝
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PLAY?
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불편한 진실.
• 비가오면 동접이 높다?
- 큰 차이가 없더라.
• 시험기간에는 동접이 떨어진다?
- 오히려 늘었다.
• 동접이 가장 높을 때는
• - 크리스마스 이브! (싱글들이 많나?)
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로그 된다.
![Page 6: MS BI for BigData](https://reader034.vdocuments.pub/reader034/viewer/2022052307/55850866d8b42aae2f8b5204/html5/thumbnails/6.jpg)
SIZE?
psx001tg010268 tds005tg2936
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빅데이터?
Game Log = Big Data
다양하고
속도가 빠르면
크고
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ACID? 분산처리
확장성 분석 비즈니스
Game Log = Big Data
빅데이터?
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가치가 있는가?
tds028tg0053
게임로그
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걸림돌?
품질 저하로
인한 통계의
부정확성
데이터
폭발로 인한
저장 문제
대용량
분석에서
속도 문제
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Big Data 분석의 핵심 키워드 3가지
품질향상
분석
주제
통찰력
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손실.
![Page 13: MS BI for BigData](https://reader034.vdocuments.pub/reader034/viewer/2022052307/55850866d8b42aae2f8b5204/html5/thumbnails/13.jpg)
오류?
• 남/여, M/F,
1/0 , 1/2
표준화
• 주소의 30%
오류
완전성
• 3년전 10살이
던 사용자는
지금도 10살
명확성
• 10레벨 이상
황금도끼 소
유 가능
유효성
• 김상수 라는
유저는 오직
한명이다
유일성
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SELECT 성별, COUNT(*) FROM DW_회원 GROUP BY 성별
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멘붕
비율은?
좋아할까?
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클렌징
M, F
1, 2 남, 여
남:1, 여:0
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IQ? EQ? DQ!
OLAP Data
Legacy Data
Cloud DataMarket
기술관리
수집
일치 기술자료
검색
프로파일링
![Page 18: MS BI for BigData](https://reader034.vdocuments.pub/reader034/viewer/2022052307/55850866d8b42aae2f8b5204/html5/thumbnails/18.jpg)
SQL 2012 DQS 설치
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SQL 2012 DQS 설치
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SQL 2012 DQS(Data Quality Service)
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DQS의 기능
기술검색 도메인관리
데이터 일치 데이터 정리
기술자료
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DQS with SSIS DEMO
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Big Data 분석의 핵심 키워드 3가지
품질향상
분석
주제
통찰력
![Page 24: MS BI for BigData](https://reader034.vdocuments.pub/reader034/viewer/2022052307/55850866d8b42aae2f8b5204/html5/thumbnails/24.jpg)
분석 주제 설정
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접속 패턴 분석
신규/ 재가입자
유지자
탈퇴 징후자
탈퇴자
![Page 26: MS BI for BigData](https://reader034.vdocuments.pub/reader034/viewer/2022052307/55850866d8b42aae2f8b5204/html5/thumbnails/26.jpg)
BI SEMANTIC MODEL
Client Tools
Data Sources
BI Semantic Model
Data model
Business logic
and queries
Data access
Team BI Created by user or IT Team context Managed on server
Personal BI Created by user Individual context Exists as document
Corporate BI Created by IT Organizational context Actively managed on server
Single model
for BI … … multiple ways to
build it
![Page 27: MS BI for BigData](https://reader034.vdocuments.pub/reader034/viewer/2022052307/55850866d8b42aae2f8b5204/html5/thumbnails/27.jpg)
BI Semantics
BI SEMANTIC MODEL Power View
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접속 패턴 분석
DEMO
다차원 모델링
SSIS
BI Semantic Model (Multidimensional Model)
![Page 29: MS BI for BigData](https://reader034.vdocuments.pub/reader034/viewer/2022052307/55850866d8b42aae2f8b5204/html5/thumbnails/29.jpg)
가입 단계별 분석
계정생성
캐릭터생성
게임플레이
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가입 단계별 분석
DEMO
다차원 모델링
SSIS
BI Semantic Model(Tabular Model, Power Pivot)
![Page 31: MS BI for BigData](https://reader034.vdocuments.pub/reader034/viewer/2022052307/55850866d8b42aae2f8b5204/html5/thumbnails/31.jpg)
Big Data 분석의 핵심 키워드 3가지
품질향상
분석
주제
통찰력
![Page 32: MS BI for BigData](https://reader034.vdocuments.pub/reader034/viewer/2022052307/55850866d8b42aae2f8b5204/html5/thumbnails/32.jpg)
통찰력!
tds028tg0049
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Accel? Excel!
DEMO
![Page 34: MS BI for BigData](https://reader034.vdocuments.pub/reader034/viewer/2022052307/55850866d8b42aae2f8b5204/html5/thumbnails/34.jpg)
Analysis with Azure
DEMO
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요리 만들기..
데이터 품질 향상
분석 주제 설정
분석을 통한 통찰력 확보
![Page 36: MS BI for BigData](https://reader034.vdocuments.pub/reader034/viewer/2022052307/55850866d8b42aae2f8b5204/html5/thumbnails/36.jpg)