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aem-GridColumn--default--12","text":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","layout":"RESPONSIVE_GRID","columnCount":12,"id":"what-is-a-data-governance-model",":type":"snowflake-site/components/container",":items":{"text":{"id":"text-3cb6999800","text":"\u003Cp\u003E데이터 거버넌스 프로그램은 대부분 정책으로 시작합니다. 더 어려운 운영 단계는 그 다음에 찾아옵니다. 데이터 자산 환경이 커지고, 더 많은 팀이 데이터를 생산하며, 동일한 자산이 분석, 보고, 머신러닝, 운영 워크플로우에 사용되기 시작할 때입니다.\u003C/p\u003E\r\n\u003Cp\u003E이 시점에서 조직은 데이터 자산 환경 전반에 \u003Ca href=\"https://www.snowflake.com/ko/data-governance/\"\u003E거버넌스\u003C/a\u003E 정책을 실행에 옮길 수 있는 구조가 필요합니다. 문제는 그 방법입니다. 어떤 조직은 의사 결정을 중앙 집중식으로 유지하고, 어떤 조직은 도메인별로 분산하며, 또 다른 조직은 두 방식 사이에서 책임을 나눕니다. 이러한 접근 방식의 차이는 일관성, 속도, 통제 측면에서 실질적인 결과로 이어집니다.\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"title_v2":{"id":"title-v2-baedf77158","type":"heading2","lines":["데이터 거버넌스 모델이란?"],":type":"snowflake-site/components/title-v2"},"text_0":{"id":"text-f0cb5a8e2c","text":"\u003Cp\u003E데이터 거버넌스 모델은 거버넌스 정책을 뒷받침하는 운영 구조를 제공합니다. 이 모델은 의사 결정 권한, \u003Ca href=\"https://www.snowflake.com/en/fundamentals/data-stewardship/\"\u003E스튜어드십 책임\u003C/a\u003E, 집행 경로를 명확히 해 팀이 누가 표준을 정의하고, 액세스를 승인하며, 정책 충돌을 해결하고, 데이터가 도메인과 플랫폼을 넘나드는 동안 공유 정의를 유지할 수 있는지 알 수 있게 합니다.\u003C/p\u003E\r\n\u003Cp\u003E데이터 거버넌스 모델은 \u003Ca href=\"https://www.snowflake.com/ko/data-governance/framework/\"\u003E데이터 거버넌스 프레임워크\u003C/a\u003E와 동일하지 않습니다. 프레임워크는 더 넓은 거버넌스 원칙, 프로세스, 통제 체계를 정의합니다. 모델은 그 프레임워크 안에서 거버넌스가 실제로 어떻게 조직되고 운영되는지를 설명합니다.\u003C/p\u003E\r\n\u003Cp\u003E대부분의 조직은 중앙 집중식, 분산형, 연합형 중 하나의 모델을 선택합니다. 각 모델은 권한, 스튜어드십, 실행을 서로 다르게 다루기 때문에 적합한 선택은 추상적인 모범 사례보다 조직 구조, 규제 압력, 데이터 성숙도에 더 크게 좌우됩니다.\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"}},":itemsOrder":["text","title_v2","text_0"],"appliedCssClassNames":"snowflake-responsive-container-inner-padding-extra-small"},"section_1":{"columnClassNames":{"text_1":"aem-GridColumn aem-GridColumn--default--12","text_0":"aem-GridColumn aem-GridColumn--default--12","text_3":"aem-GridColumn aem-GridColumn--default--12","title_v2":"aem-GridColumn aem-GridColumn--default--12","h3_title_0":"aem-GridColumn aem-GridColumn--default--12","text_2":"aem-GridColumn aem-GridColumn--default--12","h3_title_1":"aem-GridColumn aem-GridColumn--default--12","h3_title_2":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","layout":"RESPONSIVE_GRID","columnCount":12,"id":"types-of-data-governance-models",":type":"snowflake-site/components/container",":items":{"title_v2":{"id":"title-v2-f29725ceb3","type":"heading2","lines":["데이터 거버넌스 모델의 유형"],":type":"snowflake-site/components/title-v2"},"text_0":{"id":"text-e789bc437d","text":"\u003Cp\u003E세 가지 주요 데이터 거버넌스 모델의 차이는 권한이 어디에 있는지, 도메인이 얼마나 많은 자율성을 갖는지, 표준을 비즈니스 전반에 얼마나 일관되게 적용할 수 있는지에 달려 있습니다. 많은 조직은 성장 단계와 구체적인 요구에 맞춰 둘 이상의 모델 요소를 조합합니다.\u003C/p\u003E","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"h3_title_0":{"id":"title-v2-8addb65cb7","type":"heading3","lines":["중앙 집중식 데이터 거버넌스 모델"],":type":"snowflake-site/components/title-v2"},"text_1":{"id":"text-b7a58549ec","text":"\u003Cp\u003E중앙 집중식 데이터 거버넌스 모델에서는 핵심 거버넌스 팀이 표준을 수립하고, 정책을 정의하며, 조직 전반의 집행을 감독합니다. 의사 결정 권한은 주로 중앙 조직에 있으며, 대개 거버넌스 위원회, 데이터 오피스 또는 최고 데이터 책임자(CDO) 조직이 이를 지원합니다. 사업부는 참여하지만, 대부분의 거버넌스 의사 결정에서 독립적으로 운영되지는 않습니다.\u003C/p\u003E\u003Cp\u003E이 모델은 일반적으로 로컬 자율성보다 일관성이 더 중요한 경우에 가장 효과적입니다. 정의를 표준화하고, 공통 통제 체계를 적용하며, 엔터프라이즈 전반의 규정 준수를 입증하기가 더 쉽기 때문입니다. 또한 처음부터 소유권이 명확하기 때문에 초기 단계의 프로그램에도 도움이 됩니다.\u003C/p\u003E\u003Cp\u003E단점은 속도입니다. 여러 도메인에서 승인, 정책 예외, 관리 지원이 필요할 때 중앙 팀이 병목 현상이 될 수 있습니다. 또한 거버넌스 의사 결정이 데이터를 생산하고 사용하는 팀과 지나치게 멀리 떨어져 있으면 로컬 운영의 미묘한 맥락을 놓칠 수 있습니다.\u003C/p\u003E\u003Cp\u003E\u003Cstrong\u003E적합 대상:\u003C/strong\u003E 데이터 성숙도가 낮거나, 중앙 운영 구조가 더 엄격하거나, 강도 높은 규제 감독을 받는 조직\u003C/p\u003E","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"h3_title_1":{"id":"title-v2-c520024be0","type":"heading3","lines":["분산형 데이터 거버넌스 모델"],":type":"snowflake-site/components/title-v2"},"text_2":{"id":"text-328f9224f9","text":"\u003Cp\u003E분산형 데이터 거버넌스 모델에서는 개별 사업부 또는 도메인이 제한적인 중앙 통제 아래 자체 데이터를 거버넌스합니다. 데이터를 가장 잘 이해하는 팀 가까이에 소유권을 두기 때문에, 사업부가 이미 높은 독립성을 가지고 운영되는 환경에서는 대응력, 도메인 적합성, 도입률을 높일 수 있습니다.\u003C/p\u003E\r\n\u003Cp\u003E이 모델은 도메인 전문성이 높고 분산 데이터 팀이 성숙한 조직의 거버넌스 작업에 적합합니다. 데이터 민주화에도 유리합니다. 의사결정이 데이터 사용 지점에 더 가까운 곳에서 이루어지고, 팀은 중앙 조직의 승인을 기다리지 않고도 표준을 로컬 워크플로우에 맞게 조정할 수 있기 때문입니다.\u003C/p\u003E\r\n\u003Cp\u003E다만 이 모델의 단점은 단편화 가능성입니다. 각 도메인이 자체 기준에 따라 거버넌스를 운영하면 정의가 달라지고, 정책 해석이 제각각이 되며, 부서 간 리포팅도 더 어려워질 수 있습니다. 조직 전반에서 규정 준수를 일관되게 적용하기도 더 까다로울 수 있습니다.\u003C/p\u003E\r\n\u003Cp\u003E\u003Ca href=\"https://www.snowflake.com/ko/fundamentals/data-mesh-for-self-service-data/\"\u003E데이터 메시\u003C/a\u003E는 도메인 소유권 원칙을 통해 분산형 모델과 철학적 기반을 공유하지만, 그 자체가 거버넌스 모델은 아닙니다. 네 가지 고유 원칙을 갖춘 더 넓은 아키텍처 패러다임입니다. 그중 네 번째 원칙인 연합 컴퓨팅 거버넌스는 아래에서 설명하는 연합형 모델에 더 가깝습니다.\u003C/p\u003E\r\n\u003Cp\u003E\u003Cb\u003E적합 대상:\u003C/b\u003E 자율적인 사업부, 강력한 로컬 관리팀, 팀 전반의 높은 데이터 활용력을 갖춘 대규모 조직\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"h3_title_2":{"id":"title-v2-fa2dc5cddd","type":"heading3","lines":["연합형 데이터 거버넌스 모델"],":type":"snowflake-site/components/title-v2"},"text_3":{"id":"text-7edfaabf02","text":"\u003Cp\u003E연합형 데이터 거버넌스 모델에서는 중앙 팀이 공통 표준, 정책, 거버넌스 가드레일을 정의하고, 각 도메인은 그 가드레일 안에서 실행을 담당합니다. 의사결정 흐름은 공유됩니다. 엔터프라이즈 거버넌스는 일관성을 유지해야 하는 기준을 정하고, 비즈니스 도메인은 데이터 제품, 스튜어드십 관행, 일상적인 구현을 관리합니다.\u003C/p\u003E\n\u003Cp\u003E이 허브 앤 스포크 접근 방식은 일관성과 민첩성의 균형을 맞출 수 있어 대기업에 가장 현실적인 모델로 평가됩니다. 조직은 모든 결정을 단일 팀을 거치게 하지 않고도 액세스, 분류, 보존, 규정 준수에 대한 공통 요구사항을 적용할 수 있습니다. 동시에 각 도메인이 멀리 떨어진 중앙 조직보다 자체 데이터, 사용 패턴, 운영 제약을 더 잘 이해한다는 현실도 반영합니다.\u003C/p\u003E\n\u003Cp\u003E다만 이 모델은 의도적인 조율이 필요합니다. 역할이 모호하거나 에스컬레이션 경로가 약하면 연합형 거버넌스에서 책임성이 흐려질 수 있습니다.\u003C/p\u003E\n\u003Cp\u003E\u003Cb\u003E적합 대상:\u003C/b\u003E 공통 거버넌스 표준이 필요하지만 완전한 중앙 집중식 통제를 적용하기 어려운 대기업.\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"}},":itemsOrder":["title_v2","text_0","h3_title_0","text_1","h3_title_1","text_2","h3_title_2","text_3"],"appliedCssClassNames":"snowflake-responsive-container-inner-padding-extra-small"},"section_2":{"columnClassNames":{"youtube":"aem-GridColumn aem-GridColumn--default--12","text_0":"aem-GridColumn aem-GridColumn--default--12","title_v2":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","layout":"RESPONSIVE_GRID","columnCount":12,"id":"comparing-data-governance-models",":type":"snowflake-site/components/container",":items":{"title_v2":{"id":"title-v2-d7887936a0","type":"heading2","lines":["데이터 거버넌스 모델 비교"],":type":"snowflake-site/components/title-v2"},"text_0":{"id":"text-ed19b55342","text":"\u003Cp\u003E거버넌스 모델을 평가할 때는 정의 자체보다 실제 운영 방식과 일관성, 속도, 확장성, 통제 간의 트레이드오프를 비교하는 것이 가장 명확합니다.\u003C/p\u003E\n\u003Ctable\u003E\n\u003Cthead\u003E\u003Ctr\u003E\u003Cth\u003E모델\u003C/th\u003E\n\u003Cth\u003E의사결정 권한\u003C/th\u003E\n\u003Cth\u003E확장성\u003C/th\u003E\n\u003Cth\u003E규정 준수 강도\u003C/th\u003E\n\u003Cth\u003E민첩성 및 속도\u003C/th\u003E\n\u003Cth\u003E구현 복잡성\u003C/th\u003E\n\u003Cth\u003E표준의 일관성\u003C/th\u003E\n\u003Cth\u003E가장 적합한 조직\u003C/th\u003E\n\u003C/tr\u003E\u003C/thead\u003E\u003Ctbody\u003E\u003Ctr\u003E\u003Ctd\u003E\u003Cb\u003E중앙 집중식\u003C/b\u003E\u003C/td\u003E\n\u003Ctd\u003E중앙 거버넌스 팀\u003C/td\u003E\n\u003Ctd\u003E중간\u003C/td\u003E\n\u003Ctd\u003E높음\u003C/td\u003E\n\u003Ctd\u003E낮음~중간\u003C/td\u003E\n\u003Ctd\u003E낮음~중간\u003C/td\u003E\n\u003Ctd\u003E높음\u003C/td\u003E\n\u003Ctd\u003E엄격한 관리형 조직, 초기 스테이지의 거버넌스 프로그램, 규제가 강한 환경\u003C/td\u003E\n\u003C/tr\u003E\u003Ctr\u003E\u003Ctd\u003E\u003Cb\u003E분산형\u003C/b\u003E\u003C/td\u003E\n\u003Ctd\u003E개별 도메인 또는 사업부\u003C/td\u003E\n\u003Ctd\u003E높음\u003C/td\u003E\n\u003Ctd\u003E낮음~중간\u003C/td\u003E\n\u003Ctd\u003E높음\u003C/td\u003E\n\u003Ctd\u003E중간\u003C/td\u003E\n\u003Ctd\u003E낮음\u003C/td\u003E\n\u003Ctd\u003E사업부의 자율성이 높고 도메인 소유권이 성숙한 조직\u003C/td\u003E\n\u003C/tr\u003E\u003Ctr\u003E\u003Ctd\u003E\u003Cb\u003E연합형\u003C/b\u003E\u003C/td\u003E\n\u003Ctd\u003E공유: 중앙 표준, 도메인 실행\u003C/td\u003E\n\u003Ctd\u003E높음\u003C/td\u003E\n\u003Ctd\u003E높음\u003C/td\u003E\n\u003Ctd\u003E중간~높음\u003C/td\u003E\n\u003Ctd\u003E높음\u003C/td\u003E\n\u003Ctd\u003E높음\u003C/td\u003E\n\u003Ctd\u003E규제 요건과 비즈니스 민첩성의 균형을 맞춰야 하는 대기업\u003C/td\u003E\n\u003C/tr\u003E\u003C/tbody\u003E\u003C/table\u003E\n\u003Cp\u003E많은 조직은 시간이 지나면서 여러 모델을 혼합해 활용합니다. 예를 들어, 처음에는 소유권과 표준을 정립하기 위해 중앙 집중식 거버넌스로 시작한 뒤, 데이터 팀이 성숙하고 도메인 책임성이 더 안정적으로 자리 잡으면 페더레이션 구조로 전환할 수 있습니다.\u003C/p\u003E\n\u003Cp\u003E\u003Ci\u003ESnowflake Horizon에서 데이터, 앱 등을 거버넌스하고 검색하는 방법 알아보기:\u003C/i\u003E\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"youtube":{"id":"embed-1d2bad7175","youtubeVideoId":"bF6FAMeGEZc","layout":"responsive","youtubeAspectRatio":"56.25","youtubeAutoPlay":false,"youtubeLoop":false,"youtubeMute":false,"youtubePlaysInline":false,"youtubeRel":false,"embeddableResourceType":"core/wcm/components/embed/v1/embed/embeddable/youtube","type":"EMBEDDABLE",":type":"snowflake-site/components/youtube"}},":itemsOrder":["title_v2","text_0","youtube"],"appliedCssClassNames":"snowflake-responsive-container-inner-padding-extra-small"},"section_3":{"columnClassNames":{"h3_title_3":"aem-GridColumn aem-GridColumn--default--12","text_1":"aem-GridColumn aem-GridColumn--default--12","text_0":"aem-GridColumn aem-GridColumn--default--12","text_3":"aem-GridColumn aem-GridColumn--default--12","title_v2":"aem-GridColumn aem-GridColumn--default--12","h3_title_0":"aem-GridColumn aem-GridColumn--default--12","text_2":"aem-GridColumn aem-GridColumn--default--12","h3_title_1":"aem-GridColumn aem-GridColumn--default--12","h3_title_2":"aem-GridColumn aem-GridColumn--default--12","text_4":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","layout":"RESPONSIVE_GRID","columnCount":12,"id":"how-to-choose-the-right-data-governance-model",":type":"snowflake-site/components/container",":items":{"title_v2":{"id":"title-v2-e7fd38d507","type":"heading2","lines":["적합한 데이터 거버넌스 모델을 선택하는 방법"],":type":"snowflake-site/components/title-v2"},"text_0":{"id":"text-cdf992fc6e","text":"\u003Cp\u003E거버넌스 모델 선택의 핵심은 이상적인 구조를 고르는 데 있지 않습니다. 조직이 실제로 일하는 방식에 거버넌스를 맞추는 데 있습니다. 적합한 모델은 대개 운영 구조, 규제 압력, 데이터 성숙도, 거버넌스를 적용하는 플랫폼의 역량 등 몇 가지 요인에 따라 달라집니다.\u003C/p\u003E","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"h3_title_0":{"id":"title-v2-7166ee896f","type":"heading3","lines":["조직 구조"],":type":"snowflake-site/components/title-v2"},"text_1":{"id":"text-614b1783de","text":"\u003Cp\u003E엄격한 중앙 집중식 조직은 적어도 초기에는 중앙 집중식 거버넌스가 더 효과적인 경우가 많습니다. 강력한 사업부, 지역 팀 또는 제품 중심 도메인을 갖춘 기업은 병목을 피하기 위해 대개 페더레이션 또는 분산형 구조가 필요합니다.\u003C/p\u003E","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"h3_title_1":{"id":"title-v2-e7c119e419","type":"heading3","lines":["규제 요건"],":type":"snowflake-site/components/title-v2"},"text_2":{"id":"text-3c5a699cab","text":"\u003Cp\u003E헬스케어, 금융 서비스 등 규제 산업의 조직은 일반적으로 더 강력한 정책 일관성과 입증 가능한 제어가 필요하므로, 중앙 집중식 또는 페더레이션 거버넌스가 더 적합한 경우가 많습니다.\u003C/p\u003E","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"h3_title_2":{"id":"title-v2-3107add430","type":"heading3","lines":["데이터 성숙도"],":type":"snowflake-site/components/title-v2"},"text_3":{"id":"text-31cdca27de","text":"\u003Cp\u003E거버넌스 성숙도가 낮은 팀은 초기 단계에서 중앙 소유권을 더 명확히 하는 방식이 효과적인 경우가 많습니다. 스튜어드십 관행, 메타데이터 규율, 도메인 책임성이 개선될수록 분산형 모델도 더 현실적인 선택지가 됩니다.\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"h3_title_3":{"id":"title-v2-b2329e0a31","type":"heading3","lines":["기술 스택"],":type":"snowflake-site/components/title-v2"},"text_4":{"id":"text-37bf841b48","text":"\u003Cp\u003E최신 \u003Ca href=\"https://www.snowflake.com/ko/product/platform/\"\u003E클라우드 데이터 플랫폼\u003C/a\u003E은 중앙 집중식 정책 적용을 포기하지 않고도 팀이 소유권을 분산할 수 있게 하므로 페더레이션 거버넌스를 더 효과적으로 지원합니다. 예를 들어 \u003Ca href=\"https://www.snowflake.com/ko/product/features/horizon/\"\u003ESnowflake Horizon Catalog\u003C/a\u003E에서는 조직이 Snowflake 네이티브 객체, Iceberg 테이블, 외부 데이터 소스 전반에 내장형 \u003Ca href=\"https://www.snowflake.com/ko/fundamentals/rbac/\"\u003ERBAC\u003C/a\u003E 및 \u003Ca rel=\"noopener noreferrer\" href=\"https://csrc.nist.gov/projects/attribute-based-access-control\" target=\"_blank\"\u003EABAC\u003C/a\u003E, 민감 데이터 분류, 동적 데이터 마스킹, 행 액세스 정책, 계보를 적용할 수 있습니다.\u003C/p\u003E\r\n\u003Cp\u003E기술 스택은 플랫폼 선택에 큰 영향을 미칩니다. 각 도메인이 \u003Ca href=\"https://docs.snowflake.com/en/guides-overview-govern\"\u003E거버넌스 제어 기능\u003C/a\u003E을 자체적으로 다시 만들어야 한다면 페더레이션 운영 모델을 지속하기가 훨씬 어렵기 때문입니다. 플랫폼이 태그를 연결하고, 계보를 표시하며, 민감 필드를 분류하고, 마스킹 또는 액세스 규칙을 일관되게 적용할 수 있을수록 공동 책임형 거버넌스는 더 현실적인 운영 방식이 됩니다.\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"}},":itemsOrder":["title_v2","text_0","h3_title_0","text_1","h3_title_1","text_2","h3_title_2","text_3","h3_title_3","text_4"],"appliedCssClassNames":"snowflake-responsive-container-inner-padding-extra-small"},"section_4":{"columnClassNames":{"text_0":"aem-GridColumn aem-GridColumn--default--12","title_v2":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","layout":"RESPONSIVE_GRID","columnCount":12,"id":"the-best-governance-model-balances-control-with-execution",":type":"snowflake-site/components/container",":items":{"title_v2":{"id":"title-v2-e6158dbeba","type":"heading2","lines":["최적의 거버넌스 모델은 통제와 실행의 균형을 맞춥니다"],":type":"snowflake-site/components/title-v2"},"text_0":{"id":"text-33427859ef","text":"\u003Cp\u003E데이터 거버넌스 모델을 선택한다는 것은 결국 지금은 물론 데이터 자산 환경이 확장되고 더 분산되는 미래에도 거버넌스가 실제 작업 방식 속에서 어떻게 작동해야 하는지를 결정하는 문제입니다. 이 구조는 명확한 의사결정 권한, 지속 가능한 스튜어드십, 도메인 전반의 일관된 적용을 지원해야 합니다. 동시에 거버넌스를 지나치게 중앙 집중식으로 만들어 비즈니스 속도를 늦춰서는 안 됩니다.\u003C/p\u003E\u003Cp\u003E클라우드 데이터 플랫폼이 분산된 팀 전반에 공유 제어를 더 쉽게 적용하도록 지원하면서, 더 많은 조직이 엔터프라이즈 표준과 도메인 수준 실행을 결합한 거버넌스 모델을 채택할 수 있게 되었습니다.\u003C/p\u003E","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"}},":itemsOrder":["title_v2","text_0"],"appliedCssClassNames":"snowflake-responsive-container-inner-padding-extra-small"},"section_5":{"columnClassNames":{"flexible_column_cont":"aem-GridColumn aem-GridColumn--default--12","title_v2_1347800817":"aem-GridColumn aem-GridColumn--default--12","title_v2":"aem-GridColumn aem-GridColumn--default--12","simple_snowflake_acc":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","layout":"RESPONSIVE_GRID","columnCount":12,"id":"data-governance-model-faqs",":type":"snowflake-site/components/container",":items":{"title_v2":{"id":"title-v2-0a4297906f","type":"heading2","lines":["데이터 거버넌스 모델 자주 묻는 질문"],":type":"snowflake-site/components/title-v2"},"simple_snowflake_acc":{"id":"simple-snowflake-accordion-9484308670","showDivider":false,"accordionItemsList":[{"title":"데이터 거버넌스 모델이란?","richText":"\u003Cp\u003E데이터 거버넌스 모델은 조직 내에서 거버넌스 의사결정이 어떻게 이루어지는지를 정의하는 운영 구조입니다. 누가 데이터 소유권을 갖는지, 누가 표준을 정하는지, 정책을 어떻게 적용하는지, 스튜어드십 책임을 팀 전반에 어떻게 나누는지를 명확히 합니다.\u003C/p\u003E"},{"title":"데이터 거버넌스의 세 가지 주요 모델은 무엇인가요?","richText":"\u003Cp\u003E가장 일반적인 세 가지 모델은 중앙 집중식, 분산형, 연합형입니다. 중앙 집중식 거버넌스는 핵심 팀에 권한을 두고, 분산형 거버넌스는 권한을 도메인에 분배하며, 페더레이션 거버넌스는 중앙 표준과 도메인 수준 실행을 결합합니다.\u003C/p\u003E"},{"title":"데이터 거버넌스 모델과 데이터 거버넌스 프레임워크의 차이는 무엇인가요?","richText":"\u003Cp\u003E프레임워크는 거버넌스를 형성하는 정책, 프로세스, 제어를 포괄하는 더 넓은 체계입니다. 모델은 해당 프레임워크를 일상적으로 실행하는 데 사용하는 조직 구조입니다. 간단히 말해, 프레임워크는 거버넌스에 무엇이 포함되는지를 정의하고, 모델은 거버넌스가 어떻게 운영되는지를 정의합니다.\u003C/p\u003E"},{"title":"어떤 데이터 거버넌스 모델이 가장 적합한가요?","richText":"\u003Cp\u003E모든 조직에 가장 적합한 단일 모델은 없습니다. 중앙 집중식 모델은 성숙도가 낮은 프로그램과 규제 환경의 작업 방식에 잘 맞을 수 있고, 분산형 모델은 자율성이 높은 조직에 적합할 수 있으며, 페더레이션 모델은 일관성과 도메인 유연성을 모두 필요로 하는 대기업에 가장 실용적인 선택인 경우가 많습니다.\u003C/p\u003E"},{"title":"많은 기업이 페더레이션 거버넌스 모델을 선택하는 이유는 무엇인가요?","richText":"\u003Cp\u003E페더레이션 거버넌스는 적용 가능한 표준과 로컬 실행이라는, 종종 상충되는 두 요구를 균형 있게 다루기 때문에 성숙한 기업에 적합한 경우가 많습니다. 중앙 팀은 정책과 가드레일을 정의하고, 도메인 팀은 그 경계 안에서 자체 데이터를 관리할 수 있습니다.\u003C/p\u003E"},{"title":"한 조직에서 둘 이상의 거버넌스 모델을 사용할 수 있나요?","richText":"\u003Cp\u003E네. 많은 조직은 특히 전환기에 혼합 접근 방식을 사용합니다. 조직은 정책 설계와 규정 준수 통제를 중앙 집중화하면서 도메인이 관리하는 데이터, 메타데이터 및 운영 실행을 연합 방식으로 허용할 수 있습니다.\u003C/p\u003E"},{"title":"클라우드 기술은 거버넌스 모델 선택에 어떤 영향을 미칠까요?","richText":"\u003Cp\u003E클라우드 데이터 플랫폼은 적용 기능을 중앙 집중화하면서 소유권은 분산함으로써 연합 거버넌스를 훨씬 더 실용적으로 만듭니다. 이상적으로 플랫폼 거버넌스 기능은 관리 대상 데이터 리소스 전반의 액세스 제어, 데이터 분류, 동적 데이터 마스킹, 행 액세스 정책, 계보를 포함해야 합니다.\u003C/p\u003E"},{"title":"조직은 언제 중앙 집중식 모델에서 벗어나야 할까요?","richText":"\u003Cp\u003E중앙 집중식 모델은 데이터 볼륨, 도메인의 다양성, 승인 요청이 중앙 팀의 처리 역량을 넘어설 때 부담이 커지는 경우가 많습니다. 거버넌스가 제공 속도를 늦추고, 예외 처리 대기열을 길게 만들거나, 도메인별 맥락을 충분히 반영하지 못한다면 연합형 구조로 전환할 시점일 수 있습니다.\u003C/p\u003E"}],":type":"snowflake-site/components/simple-snowflake-accordion","appliedCssClassNames":"snowflake-responsive-component-bottom-padding-small"},"title_v2_1347800817":{"id":"title-v2-fd8e9061f9","type":"heading2","lines":["데이터 거버넌스에 Snowflake를 활용하는 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Merkle"],":type":"snowflake-site/components/title-v2"},"button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"https://www.snowflake.com/en/customers/all-customers/case-study/merkle/"},"linkTargetContentType":"GENERIC","linkType":"SNOWFLAKE_EXTERNAL",":type":"snowflake-site/components/button","text":"사례 읽기"},"image":{"id":"image","alt":"merkle logo","src":"https://www.snowflake.com/adobe/dynamicmedia/deliver/dm-aid--eaeaceff-bbea-4758-9c80-983c74943b9b/merkle-customer-card%25402x.jpg?quality=85&preferwebp=true","lazyEnabled":true,"height":"720","width":"1680",":type":"snowflake-site/components/image"},"type":"content-card","text":{"id":"text","text":"\u003Cp\u003EDentsu 계열사인 Merkle은 Snowflake에서 민감 데이터를 통합하고 고객과 협업하여 데이터 액세스를 가속화하고 리스크를 최소화하는 효율적이고 신뢰할 수 있는 데이터 환경을 구축하고 있습니다.\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/text"},"layoutStyle":"vertical",":type":"snowflake-site/components/card-v2"}},":itemsOrder":["card_v2"]},"flexible_column_content_container_2":{"layout":"SIMPLE","id":"container-c10dc65fdb",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{"card_v2":{"id":"card-v2-7d05f3c040","configurationStatus":{"configured":true,"message":""},"title":{"id":"title","type":"heading4","lines":["데이터 거버넌스를 강화하여 공공 서비스를 개선한 미국 애리조나 길버트 시"],":type":"snowflake-site/components/title-v2"},"button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"https://www.snowflake.com/en/customers/all-customers/case-study/town-of-gilbert/"},"linkTargetContentType":"GENERIC","linkType":"SNOWFLAKE_EXTERNAL",":type":"snowflake-site/components/button","text":"사례 읽기"},"image":{"id":"image","alt":"gilbert 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