July 2023
Beginner to intermediate
496 pages
11h 43m
Korean
Content preview from MLOps 실전 가이드
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47
1
장
MLOps 세상으로 초대
1.4.3 1.4.3
DataOpsDataOps
와 데이터 엔지니어링와 데이터 엔지니어링
지금까지 머신러닝 욕구 단계에서 가장 아래층에 해당하는
DevOps
에 대해 살펴보았다. 다음
단계는 데이터의 흐름을 자동화하는 것이다. 데이터의 흐름을 자동화하는 일이 머신러닝 엔지
니어링을 위해 반드시 필요한 이유가 무엇일지 생각해보자. 예를 들어 거대한 도시의 상수원이
도시 전체에 딱 하나밖에 없다면 어떻게 될까? 물이 필요할 때마다 물을 길어 와야 하는 번거
로움 때문에 일상생활이 순탄치 않을 것이다. 평소 당연하게 누려오던 온수 샤워, 식기세척기
사용 등을 더 이상 편하게 사용할 수 없다. 비슷한 이치로, 필자는 데이터의 흐름이 자동화되지
않은 조직은 안정적인
MLOps
를 수행할 수 없다고 생각한다.
DataOps
를 수행하기 위해 다양한 상용 도구가 많이 출시되기 시작했다. 에어비앤비가 개발
한 데이터 처리 워크플로 예약, 관리, 모니터링 도구 아파치 에어플로
Apache
AirFlow
21
를 오픈 소
스로 공개했다.
AWS
는
AWS
데이터 파이프라인과
AWS
글루
Glue
를 제공하고 있다.
AWS
글루는 데이터 소스의 스키마를 감지한 뒤 데이터 소스의 메타데이터를 저장하고, 서버리스
ETL
Extract
,
Load
,
Transform ...
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and much more.
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.