{"templateName":"demand-gen-landing-page-template","cssClassNames":"page basicpage summit-page","canonicalLink":"https://www.snowflake.com/ko/resources/ebook/the-semantic-imperative/","robotsTags":["index","follow"],"allowedRenditionsWidth":["320","480","640","768","960","1200","1440","1920"],"language":"en","description":"범용 시맨틱 계층이 어떻게 서로 어긋나는 지표를 없애고, AI에 신뢰할 수 있는 비즈니스 컨텍스트를 제공하며, 흩어져 있던 비즈니스 로직을 단일 진실 공급원으로 바꾸는지 알아보세요.","title":"시맨틱 계층의 필요성 - 신뢰할 수 있는 BI, 더 빠른 의사 결정, 안정적인 AI의 구현","analyticsPageType":"homepage","analyticsCategory":"general","analyticsSubCategory":"","excludeFromAnalytics":false,":type":"snowflake-site/components/structure/page",":mappedPath":"/ko/resources/ebook/the-semantic-imperative/",":items":{"root":{"columnCount":12,"columnClassNames":{"experiencefragment-banner":"aem-GridColumn aem-GridColumn--default--12","experiencefragment-header":"aem-GridColumn aem-GridColumn--default--12","markup_editor_1105360441":"aem-GridColumn 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Snowflake 제품 관리 부문 디렉터 Josh Klahr의 서문과 함께, 비즈니스 규칙을 한 번만 정의해 두면 모든 시스템이 자동으로, 그리고 대규모로 동일한 진실 공급원을 참조할 수 있도록 만드는 방법을 살펴봅니다. 또한 과거에는 수개월간의 수작업 모델링이 필요했던 작업도 이제는 순식간에 처리할 수 있도록 도와주는 Snowflake Semantic Views와 Semantic View Autopilot 기능도 함께 소개합니다.\u003C/p\u003E\r\n\u003Cp\u003E\u003Cb\u003E이 eBook에서 다루는 내용\u003C/b\u003E\u003Cbr\u003E\r\n\u003C/p\u003E\r\n\u003Cul\u003E\r\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003E시맨틱 계층의 정의와 지금 시맨틱 계층이 중요한 이유: \u003C/b\u003E가공 전 데이터와 이를 사용하는 모든 도구 사이에 자리하는 기반 아키텍처를 살펴보고, 최근의 세 가지 변화가 시맨틱 계층을 선택 사항이 아닌 필수 요소로 만든 배경을 짚어봅니다.\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003E대시보드가 서로 어긋나는 이유와 이를 일치시키는 방법:\u003C/b\u003E 지표 로직이 흩어져 있으면 팀마다 수치가 달라지는 이유, 그리고 시맨틱 계층을 공유하면 모든 도구가 같은 기준을 참조하게 되는 원리를 확인합니다.\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003E비즈니스가 변화해도 지표를 정확하게 유지하는 방법:\u003C/b\u003E 로직을 플랫폼 수준에 고정해 두면 모든 곳의 정의가 자동으로 최신 상태로 유지되는 원리를 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