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거버넌스 정책 주제:\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-size-regular text-color-text-05"},"text":{"id":"text-e19a7e0fb0","additionalClasses":"related-topics ","text":"\u003Cul\u003E\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/en/data-governance/policy/data-ethics/\"\u003E데이터 윤리\u003C/a\u003E\u003C/li\u003E\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/en/data-governance/policy/audit/\"\u003E데이터 거버넌스 감사\u003C/a\u003E\u003C/li\u003E\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/en/data-governance/policy/templates/\"\u003E데이터 거버넌스 정책 템플릿\u003C/a\u003E\u003C/li\u003E\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/en/data-governance/policy/standards/\"\u003E데이터 거버넌스 표준\u003C/a\u003E\u003C/li\u003E\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/en/data-governance/policy/privacy-vs-governance/\"\u003E데이터 거버넌스와 데이터 개인정보 보호\u003C/a\u003E\u003C/li\u003E\n\u003C/ul\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-size-small"}},":itemsOrder":["text_894059747","text"]},"isBlogPage":false,"isActiveTOC":false,":type":"snowflake-site/components/flexible-column-container"},"flexible_column_cont_549182334":{"id":"flexible-column-container-a23a6a4b33","propertiesId":"hub-body","type":"2-column-60-40","alignColumns":"top","containerMaxWidth":"extra-large","topPadding":"medium","bottomPadding":"large","spaceBetween":"small","reverseOnMobile":false,"carouselOnMobile":false,"propertiesCSSClasses":"page-section","backgroundImageOption":"none","flexible_column_content_container_1":{"additionalClasses":"longform-content","layout":"SIMPLE","id":"hub-body-content",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{"text":{"id":"text-1cf7ffb637","additionalClasses":"callout callout--general","text":"\u003Cp\u003E\u003Cb\u003E데이터 거버넌스 정책의 정의\u003C/b\u003E\u003C/p\u003E\n\u003Cp\u003E데이터 거버넌스 정책은 조직 전반에서 데이터를 관리하기 위한 표준, 책임, 통제를 정의하여 데이터가 비즈니스 및 규제 요건에 맞춰 일관되고 안전하게, 규정 요구 사항을 준수하도록 지원합니다.\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-size-regular text-color-text-05"},"text_policy-overview_0":{"id":"text-38126f6e37","text":"\u003Cp\u003E데이터 자산은 사용 가능하고 적합해 보이더라도 상당한 위험을 내포할 수 있습니다. 맥락이 없으면 다음과 같은 핵심 질문들이 해소되지 않습니다. 해당 데이터에 규제 대상 속성이 포함되어 있는지, 지역 간 공유가 가능한지, 모델 입력으로 승인되었는지, 보존 규칙이나 도메인별 통제 사항이 여전히 유효한지 등입니다.\u003C/p\u003E\n\u003Cp\u003E데이터가 더 많은 시스템을 거치고, 셀프서비스 액세스를 통해 더 많은 사용자에게 제공되며, 각기 다른 처리 요건을 가진 더 다양한 업무를 지원할수록 문제는 더욱 복잡해집니다. 거버넌스 정책은 데이터가 환경을 이동하는 동안 어떻게 처리되어야 하는지 안내하는 데이터 사용, 소유권, 책임성에 대한 명확한 규칙을 수립합니다.\u003C/p\u003E","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"title_what-is-a-data-governance-policy":{"id":"title-v2-ee64d645c0","additionalClasses":"anchor-title anchor-title--what-is-a-data-governance-policy","type":"heading2","lines":["데이터 거버넌스 정책이란?"],":type":"snowflake-site/components/title-v2"},"text_what-is-a-data-governance-policy_0":{"id":"text-a6f70eef30","text":"\u003Cp\u003E데이터 거버넌스 정책은 조직이 데이터를 분류, 액세스, 저장, 공유, 사용하는 방식을 정의하는 공식적인 규칙 체계입니다. 이 정책은 비즈니스 부서, 시스템, 관할권, 워크플로우 전반에서 데이터를 처리하기 위한 문서화된 기준을 팀에 제공하며, 데이터가 생성, 거버넌스 적용, 분석되는 플랫폼 안에서 이러한 규칙이 어떻게 집행되는지도 설명합니다.\u003C/p\u003E\r\n\u003Cp\u003E데이터 거버넌스 정책은 거버넌스를 둘러싼 더 넓은 운영 모델, 역할, 프로세스를 정의하는 \u003Ca href=\"https://snowflake.com/ko/data-governance/frameworks/\"\u003E데이터 거버넌스 프레임워크\u003C/a\u003E와는 다릅니다. 정책은 프레임워크 안에 포함된 구체적인 규칙 집합 중 하나로, 무엇이 허용되고 제한되는지, 예외를 누가 승인하는지, 시간이 지나도 규정 준수를 어떻게 유지하는지와 같은 규칙 자체에 초점을 둡니다.\u003C/p\u003E\r\n\u003Cp\u003E현대적인 환경에서는 정책이 리스크 의사결정부터 통제, 소유권, 증거에 이르기까지 엔드투엔드로 추적 가능해야 합니다. 특히 거버넌스가 적용된 데이터가 분석, 머신러닝, 생성형 AI, 교차 기능 운영 전반에서 재사용되는 경우에는 더욱 중요합니다.\u003C/p\u003E\r\n\u003Cp\u003E\u003Ci\u003E거버넌스의 핵심 원칙과 모범 사례에 대한 자세한 내용은 \u003Ca href=\"https://snowflake.com/ko/data-governance/\"\u003E데이터 거버넌스란?\u003C/a\u003E을 참조하세요.\u003C/i\u003E\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"title_why-a-data-governance-policy-matters":{"id":"title-v2-752d96cb0c","additionalClasses":"anchor-title anchor-title--why-a-data-governance-policy-matters","type":"heading2","lines":["데이터 거버넌스 정책이 중요한 이유"],":type":"snowflake-site/components/title-v2"},"text_why-a-data-governance-policy-matters_0":{"id":"text-b73963b170","text":"\u003Cp\u003E대부분의 조직은 이미 데이터에 관한 규칙을 갖추고 있습니다. 문제는 이러한 규칙이 개인정보 처리방침, 보안 통제, 보존 일정, 액세스 워크플로우, 법무 검토 프로세스, 팀별 관행 등에 분산되어 있다는 점입니다. 데이터가 플랫폼, 비즈니스 도메인, AI 지원 워크플로우를 넘나들수록 어떤 규칙이 적용되는지, 의사결정의 소유자가 누구인지, 동일한 기준이 일관되게 집행되고 있는지 파악하기가 더 어려워집니다.\u003C/p\u003E\r\n\u003Cp\u003E데이터 거버넌스 정책은 명확하게 이해된 규칙에 따라 사람들이 데이터를 찾고, 요청하고, 사용할 수 있도록 해 조직이 애자일하게 움직이도록 지원합니다. 또한 조직이 분류, 개인정보 보호, 보존, 증거를 어떻게 처리할지 정의함으로써 규정 준수의 준비도를 높이는 데 기여합니다. 거버넌스 정책은 팀, 플랫폼, 사용 사례에 따라 승인, 제한, 예외를 정의하는 데 도움을 주므로 액세스 제어와 감사 가능성도 뒷받침합니다.\u003C/p\u003E\r\n\u003Cp\u003E아울러 \u003Ca rel=\"noopener noreferrer\" href=\"https://gdpr.eu/\" target=\"_blank\"\u003EGDPR\u003C/a\u003E, \u003Ca rel=\"noopener noreferrer\" href=\"https://oag.ca.gov/privacy/ccpa\" target=\"_blank\"\u003ECCPA\u003C/a\u003E와 같은 개인정보 보호규정은 조직이 개인 데이터를 수집, 액세스, 보존, 공유하는 방식을 명확히 정의하도록 요구합니다. \u003Ca href=\"https://www.snowflake.com/en/fundamentals/ai-governance/\"\u003EAI 거버넌스\u003C/a\u003E는 또 다른 정책 요건 계층을 추가합니다. 이제 팀은 거버넌스가 적용된 데이터를 모델 학습, \u003Ca href=\"https://www.snowflake.com/ko/fundamentals/rag/\"\u003E검색 증강 생성\u003C/a\u003E(RAG), 자동화된 의사결정 지원 또는 기타 LLM 기반 워크플로우에 사용할 수 있는지에 대한 명시적인 규칙이 필요하기 때문입니다.\u003C/p\u003E\r\n\u003Cp\u003E공식 정책 체계가 없다면 특정 팀에서 원래 소유자가 승인하지 않은 방식으로 규제 대상 데이터를 재사용할 수 있습니다. 또는 여러 비즈니스 부서가 동일한 데이터에 서로 다른 규칙을 적용할 수 있습니다. 이는 의사결정을 늦추고, 규정 준수 리스크를 높이며, 거버넌스를 대규모로 집행하기 어렵게 만들 수 있습니다. 시간이 지날수록 조직은 규제 노출, 데이터 오용, 감사 실패, 사일로화된 의사 결정의 위험이 커질 수 있습니다.\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"title_core-components-of-a-data-governance-policy":{"id":"title-v2-9d191bd96a","additionalClasses":"anchor-title anchor-title--core-components-of-a-data-governance-policy","type":"heading2","lines":["데이터 거버넌스 정책의 핵심 구성 요소"],":type":"snowflake-site/components/title-v2"},"text_core-components-of-a-data-governance-policy_0":{"id":"text-5e7b58acdf","text":"\u003Cp\u003E데이터 거버넌스 정책은 소유권과 분류부터 액세스, 보존, 감사에 이르기까지 여러 범주의 정책적 결정을 포괄해야 합니다.\u003C/p\u003E\n\u003Cp\u003E일반적으로 핵심 구성 요소는 다음과 같습니다.\u003C/p\u003E\n\u003Cul\u003E\n\u003Cli\u003E\u003Cstrong\u003E범위 및 적용 대상:\u003C/strong\u003E 정책이 적용되는 데이터, 시스템, 사업부, 관할권 및 사용 사례를 정의합니다.\u003C/li\u003E\n\u003Cli\u003E\u003Cstrong\u003E역할 및 책임:\u003C/strong\u003E 규정, 시스템, 비즈니스 활용 방식이 변화할 때 정책의 소유자, 예외 승인자, 제어 적용 책임자, 정책 유지 관리 책임자를 명확히 합니다. 여기에는 일반적으로 데이터 소유자, \u003Ca href=\"https://www.snowflake.com/en/fundamentals/data-stewardship/\"\u003E데이터 스튜어드\u003C/a\u003E, 관리자, 법무 및 규정 준수 이해관계자, 보안 팀, 거버넌스 위원회가 포함됩니다.\u003C/li\u003E\n\u003Cli\u003E\u003Cstrong\u003E데이터 분류 표준:\u003C/strong\u003E 조직이 공개, 내부, 기밀, 규제 대상 및 기타 민감 데이터를 어떻게 구분할지 정합니다. 이러한 정의는 레이블링, 처리 규칙, 액세스 결정 및 다운스트림 제어의 기준이 됩니다.\u003C/li\u003E\n\u003Cli\u003E\u003Cstrong\u003E액세스 및 사용 규칙:\u003C/strong\u003E 누가 어떤 목적으로, 어떤 조건과 승인 하에 데이터를 사용할 수 있는지 정의합니다. 여기에는 일반적인 분석 액세스, 부서 간 공유, 서드 파티 액세스는 물론 모델 그라운딩, 프롬프트 보강, 자동화된 의사 결정 지원과 같은 AI 사용 사례가 포함됩니다.\u003C/li\u003E\n\u003Cli\u003E\u003Cstrong\u003E규정 준수 및 규제 정렬:\u003C/strong\u003E 정책이 GDPR, CCPA, \u003Ca href=\"https://www.cdc.gov/phlp/php/resources/health-insurance-portability-and-accountability-act-of-1996-hipaa.html\" target=\"_blank\"\u003EHIPAA\u003C/a\u003E, SOX 및 산업별 요건과 같은 의무 사항에 어떻게 매핑되는지 설명합니다. 정책이 규정 전체를 다시 서술할 필요는 없지만, 어떤 의무가 적용되는지, 어떤 제어가 이를 뒷받침하는지, 증거에 대한 책임은 누구에게 있는지 식별해야 합니다.\u003C/li\u003E\n\u003Cli\u003E\u003Cstrong\u003E데이터 보존 및 수명 주기 규칙:\u003C/strong\u003E 데이터를 얼마나 오래 보관해야 하는지, 언제 아카이브해야 하는지, 언제 삭제해야 하는지, 그리고 기록이 중복되는 비즈니스, 법무 또는 규제 요건의 적용을 받을 때 충돌을 어떻게 처리할지 정의합니다.\u003C/li\u003E\n\u003Cli\u003E\u003Cstrong\u003E집행 및 감사 요건:\u003C/strong\u003E 기술적 제어, 로깅, 예외 처리, 증명, 검토 주기, 감사 증거를 포함해 조직이 정책 준수 여부를 어떻게 확인할지 정의합니다.\u003C/li\u003E\n\u003C/ul\u003E","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"title_how-legal-privacy-and-usage-requirements-shape-governance-policy":{"id":"title-v2-02a21141a3","additionalClasses":"anchor-title anchor-title--how-legal-privacy-and-usage-requirements-shape-governance-policy","type":"heading2","lines":["법률, 개인정보 보호 및 사용 요건이 거버넌스 정책에 미치는 영향"],":type":"snowflake-site/components/title-v2"},"text_303662111":{"id":"text-ad794efec4","text":"\u003Cp\u003E거버넌스 정책은 외부 의무를 운영 규칙으로 전환하는 지점입니다. 정책은 법률, \u003Ca href=\"https://www.snowflake.com/en/fundamentals/data-governance/policy/regulations/\"\u003E규정\u003C/a\u003E, 조직의 약속을 누가 데이터에 액세스할 수 있는지, 데이터를 어떻게 사용할 수 있는지, 얼마나 오래 보존해야 하는지, 규정 준수를 어떻게 입증할지에 대한 명확한 결정으로 전환합니다.\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"quote_item_407477086":{"id":"quote-item-a69d0c8b1e","alignment":"left","layout":"simple","showQuoteIcon":true,"quote":"Governance policy is where external obligations become operational rules. ","showHangingPunctuation":false,":type":"snowflake-site/components/quote-item"},"text_how-legal-privacy-and-usage-requirements-shape-governance-policy_0":{"id":"text-43aadbca32","text":"\u003Cp\u003E이러한 정책은 다음과 같은 여러 범주의 요건에 의해 형성됩니다.\u003C/p\u003E\r\n\u003Ch3\u003E개인정보 보호와 데이터 보호\u003C/h3\u003E\r\n\u003Cp\u003E일반 데이터 보호 규정(GDPR)과 같은 규정은 개인 데이터의 수집, 사용, 보호 방식에 대해 엄격한 요건을 정합니다. 또한 처리의 적법 근거, 정보주체 권리(액세스, 삭제, 정정 등), 책임성, 개인정보 보호 중심 설계와 같은 개념을 정의합니다.\u003C/p\u003E\r\n\u003Cp\u003E\u003Ci\u003EGDPR이 거버넌스 정책에 미치는 영향에 대한 자세한 내용은 \u003Ca href=\"https://www.snowflake.com/en/fundamentals/data-governance/policy/gdpr/\"\u003EGDPR 데이터 거버넌스\u003C/a\u003E를 참조하십시오.\u003C/i\u003E\u003C/p\u003E\r\n\u003Cp\u003E거버넌스 정책은 데이터 분류, 액세스 제어, 데이터 최소화, 감사 가능성을 포함하여 이러한 법적 요건에 맞춰 조직이 프로세스와 관행을 정렬할 수 있도록 지원합니다.\u003C/p\u003E\r\n\u003Ch3\u003E데이터 공유와 재사용\u003C/h3\u003E\r\n\u003Cp\u003EEU 데이터 거버넌스법(\u003Ca rel=\"noopener noreferrer\" target=\"_blank\" href=\"https://digital-strategy.ec.europa.eu/en/policies/data-governance-act\"\u003EDGA\u003C/a\u003E)은 GDPR을 보완합니다. 이 법은 신뢰할 수 있는 데이터 공유를 가능하게 하는 데 초점을 맞추며, 보호 대상인 특정 공공 부문 데이터의 재사용을 위한 프레임워크를 제시합니다. 또한 EU 내 데이터 중개자와 데이터 공유 서비스에 대한 규정도 포함합니다.\u003C/p\u003E\r\n\u003Cp\u003E이러한 요건은 조직이 데이터를 언제, 어떻게 공유할 수 있는지, 어떤 조건에서 재사용할 수 있는지, 조직 또는 지역 경계를 넘어 신뢰를 어떻게 유지할지에 대한 명확한 규칙을 정의하도록 요구함으로써 거버넌스 정책을 구체화합니다.\u003C/p\u003E\r\n\u003Ch3\u003E데이터 주권과 데이터 레지던시\u003C/h3\u003E\r\n\u003Cp\u003E\u003Ca href=\"https://www.snowflake.com/en/fundamentals/what-is-data-sovereignty/\"\u003E데이터 주권\u003C/a\u003E은 데이터가 수집된 관할권의 법률 적용을 받는다는 의미이며, 데이터 레지던시는 데이터가 물리적으로 저장되는 위치를 의미합니다. 두 개념 모두 조직이 데이터 환경을 설계하는 방식에 직접적인 영향을 미칩니다.\u003C/p\u003E\r\n\u003Cp\u003E거버넌스 정책은 특히 크로스 리전 분석, 파트너십, AI 사용 사례에서 이러한 제약을 고려해야 합니다. 즉, 데이터가 어디로 이동할 수 있는지, 누가 액세스할 수 있는지, 각 스테이지에서 어떤 법률이 적용되는지를 정의해야 합니다.\u003C/p\u003E\r\n\u003Ch3\u003E데이터 윤리와 책임 있는 AI 사용\u003C/h3\u003E\r\n\u003Cp\u003E\u003Ca href=\"https://snowflake.com/en/data-governance/policy/data-ethics/\"\u003E데이터 윤리\u003C/a\u003E는 법적 지침이 불완전하거나 계속 변화하는 상황에서 데이터를 어떻게 사용해야 하는지 정의합니다. 여기에는 공정성, 편향 완화, 투명성, 책임 있는 AI 사용 등이 포함됩니다. 거버넌스 정책은 특히 데이터 기반 결과물이 의사 결정, 고객 또는 다운스트림 조치에 영향을 미치는 영역에서 이러한 기대 사항을 공식화하는 경우가 많습니다.\u003C/p\u003E\r\n\u003Cp\u003E\u003Ci\u003E거버넌스 정책이 규정 준수를 지원하는 방식에 대한 자세한 내용은 \u003Ca href=\"https://www.snowflake.com/en/fundamentals/data-governance/policy/compliance/\"\u003E데이터 거버넌스와 규정 준수\u003C/a\u003E를 참조하십시오.\u003C/i\u003E\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"title_operational-policy-areas":{"id":"title-v2-5bb4d0ec59","additionalClasses":"anchor-title anchor-title--operational-policy-areas","type":"heading2","lines":["운영 정책 영역"],":type":"snowflake-site/components/title-v2"},"text_operational-policy-areas_0":{"id":"text-6a17832392","text":"\u003Cp\u003E모든 거버넌스 결정이 규제에서 비롯되는 것은 아닙니다. 상당수는 운영상의 결정입니다. 데이터가 일상적인 워크플로우를 거치면서 어떻게 액세스되고 관리형 방식으로 관리 및 유지되는지를 정의합니다. 이러한 정책은 팀과 시스템 전반에서 일관성, 확장성, 통제력을 높이기 위한 것입니다.\u003C/p\u003E\r\n\u003Ch3\u003E데이터 액세스와 액세스 제어\u003C/h3\u003E\r\n\u003Cp\u003E액세스 정책은 누가 어떤 데이터에 어떤 조건과 목적에 따라 액세스할 수 있는지를 정의합니다. 여기에는 역할 설계, 승인 워크플로우, 적절한 사용에 관한 결정이 포함됩니다.\u003C/p\u003E\r\n\u003Cp\u003E액세스 제어는 역할 기반 액세스 제어(\u003Ca href=\"https://www.snowflake.com/en/fundamentals/rbac/\"\u003ERBAC\u003C/a\u003E), 속성 기반 액세스 제어(ABAC), 최소 권한 원칙 같은 메커니즘을 통해 이러한 정책을 기술적으로 집행하는 방식입니다. 이 두 요소는 적절한 사용자가 필요한 시점에만 데이터에 액세스할 수 있도록 설계됩니다.\u003C/p\u003E\r\n\u003Ch3\u003E데이터 보존\u003C/h3\u003E\r\n\u003Cp\u003E보존 정책은 데이터를 얼마나 오래 보관하고, 언제 아카이빙하며, 언제 삭제해야 하는지를 정의합니다. 이러한 결정에는 비용, 성능, 규정 준수, 분석 가치 사이의 균형이 따르는 경우가 많습니다. 동일한 데이터가 보고, 운영, 감사 증거, AI 사용 사례를 동시에 지원할 수 있기 때문에 보존 규칙은 명확해야 하며, 일관되게 적용되고 정기적으로 검토되어야 합니다.\u003C/p\u003E\r\n\u003Ch3\u003E거버넌스 표준\u003C/h3\u003E\r\n\u003Cp\u003E\u003Ca href=\"https://snowflake.com/en/data-governance/policy/standards/\"\u003E거버넌스 표준\u003C/a\u003E은 거버넌스 정책을 반복 가능하고 확장 가능하게 만드는 구조를 제공합니다. 명명 규칙, 메타데이터, 데이터 분류, 스튜어드십 역할, 품질 임계값, 제어 패턴에 대한 기대치를 정의합니다.\u003C/p\u003E\r\n\u003Cp\u003E이러한 요소를 표준화하면 조직은 도메인마다 거버넌스 접근 방식을 새로 만들 필요 없이, 플랫폼과 팀 전반에서 일관된 구현을 보장할 수 있습니다.\u003C/p\u003E\r\n\u003Cp\u003E\u003Ci\u003ESnowflake가 거버넌스 통제를 어떻게 구현하는지 알아보려면 \u003Ca href=\"https://docs.snowflake.com/en/guides-overview-govern\"\u003ESnowflake의 데이터 거버넌스\u003C/a\u003E를 참조하세요.\u003C/i\u003E\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"title_building-deploying-and-maintaining-your-policy":{"id":"title-v2-6b3a0c66c9","additionalClasses":"anchor-title anchor-title--building-deploying-and-maintaining-your-policy","type":"heading2","lines":["정책 구축, 배포 및 유지 관리"],":type":"snowflake-site/components/title-v2"},"text_building-deploying-and-maintaining-your-policy_0":{"id":"text-8d32630a66","text":"\u003Cp\u003E데이터 사용, 위험, 요건이 변화함에 따라 데이터 거버넌스 정책도 함께 진화해야 합니다. 평가, 초안 작성, 배포, 감사의 4개 스테이지로 구성된 수명 주기는 지속적인 프로세스를 이끄는 실용적인 방법을 제공합니다.\u003C/p\u003E\n\u003Ch3\u003E평가\u003C/h3\u003E\n\u003Cp\u003E평가 스테이지에서 팀은 적용 대상 데이터 도메인, 규제 의무, 위험 패턴, 현재의 제어 공백을 식별합니다. 여기에는 법무, 규정 준수, 보안 팀의 입력은 물론, 데이터가 실제로 어떻게 사용되는지를 이해하는 데이터 소유자 및 스튜어드의 의견도 포함됩니다. 목표는 범위를 정의하고, 정책이 필요한 영역과 위험이 존재하는 지점, 반드시 해결해야 할 요건을 파악하는 것입니다.\u003C/p\u003E\n\u003Ch3\u003E초안 작성\u003C/h3\u003E\n\u003Cp\u003E초안 작성 스테이지에서는 규칙, 역할과 책임, 액세스 기대 사항, 보존 요건, 예외 및 검토 프로세스를 정의합니다. 거버넌스 협의체나 유사 조직이 이러한 정책을 검토하고 승인하는 경우가 많으며, 템플릿은 도메인 전반에서 정책 구조의 일관성을 유지하는 데 도움이 됩니다.\u003C/p\u003E\n\u003Cp\u003E많은 팀은 \u003Ca href=\"https://snowflake.com/en/data-governance/policy/templates/\"\u003E데이터 거버넌스 템플릿\u003C/a\u003E이 시작 단계에서 유용하고, 도메인 전반의 정책 개발 일관성을 유지하는 데 도움이 된다고 봅니다. 템플릿은 검토를 간소화하는 공통 구조를 제공하고, 정책이 진화하는 과정에서도 서로 정렬된 상태를 유지하도록 돕습니다.\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"text_1679185601":{"id":"text-2a9098c5f3","additionalClasses":"callout callout--general","text":"\u003Cp\u003E\u003Cb\u003E자주 하는 실수\u003C/b\u003E\u003C/p\u003E\n\u003Cp\u003E데이터 거버넌스 정책을 정적인 규정 준수 문서로 취급해서는 안 됩니다. 수명 주기 차원의 관리 체계로 다루지 않는 정책은 빠르게 낡고, 일관되게 집행되지 않으며, 팀이 따르기 어려워집니다.\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-size-regular text-color-text-05"},"text_542037381":{"id":"text-5c693be3cd","text":"\u003Ch3\u003E배포\u003C/h3\u003E\r\n\u003Cp\u003E배포 스테이지에서는 워크플로우와 기술적 제어를 통해 정책을 구현합니다. 여기에는 액세스 제어 구성, 데이터 분류 적용, 마스킹 또는 행 수준 정책 정의, 데이터 파이프라인과 사용자 워크플로우에 거버넌스 내재화가 포함됩니다.\u003C/p\u003E\r\n\u003Cp\u003E현대적인 플랫폼은 정책을 실제로 집행 가능한 형태로 만듭니다. 예를 들어 Snowflake는 거버넌스가 적용된 데이터를 보호하고 감사하기 위한 메커니즘으로 마스킹 정책, Row Access Policy, 객체 태그, 민감 데이터 분류, Access History를 제공합니다. \u003Ca href=\"https://www.snowflake.com/ko/product/features/horizon/\"\u003EHorizon Catalog\u003C/a\u003E는 공유 메타데이터와 정책 동작을 통해 이러한 통제를 더욱 광범위한 데이터 자산 환경 전반으로 확장합니다.\u003C/p\u003E\r\n\u003Ch3\u003E감사\u003C/h3\u003E\r\n\u003Cp\u003E감사 스테이지에서 조직은 정책이 준수되고 있는지, 제어가 의도대로 작동하는지 검증합니다. \u003Ca href=\"https://snowflake.com/en/data-governance/policy/audit/\"\u003E감사 프로그램\u003C/a\u003E에는 액세스 패턴 모니터링, 예외 검토, 정의된 규칙에 대한 규정 준수 검증이 포함됩니다. 감사 결과는 개선 조치와 업데이트로 이어지며, 데이터 사용, 위험, 규제 요건의 변화에 맞춰 거버넌스를 지속적으로 정렬하는 개선 사이클을 만듭니다.\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"title_the-practical-value-of-a-data-governance-policy":{"id":"title-v2-2740781f3b","additionalClasses":"anchor-title anchor-title--the-practical-value-of-a-data-governance-policy","type":"heading2","lines":["데이터 거버넌스 정책의 실질적 가치"],":type":"snowflake-site/components/title-v2"},"text_the-practical-value-of-a-data-governance-policy_0":{"id":"text-be1b5fcf6c","text":"\u003Cp\u003E이 가이드의 시작 부분에서 살펴본 시나리오로 돌아가 보겠습니다. 사용 가능한 데이터 자산이 있고, 적합해 보이며, 누군가는 이를 안전하게 사용할 수 있는지 판단해야 합니다.\u003C/p\u003E\n\u003Cp\u003E명확한 거버넌스 정책이 없으면 해당 사용자는 적절한 이해관계자를 찾아다니며 핵심 결정을 다시 확인해야 합니다. 최초 분류를 찾고, 보존 규칙이 변경되었는지 확인하고, 크로스 리전 전송이 허용되는지 판단하며, 의도한 사용이 승인된 적 있는지까지 검토해야 합니다. 응답은 대체로 늦거나 불완전하며, 결국 가정에 기반해 의사결정이 내려지는 경우가 많습니다.\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"quote_item":{"id":"quote-item-7e381b9858","alignment":"left","layout":"simple","showQuoteIcon":true,"quote":"Without clear governance policy, the individual is left to track down the right stakeholders and reconstruct key decisions.","showHangingPunctuation":false,":type":"snowflake-site/components/quote-item"},"text_1943728336":{"id":"text-ec2fa4faa0","text":"\u003Cp\u003E기능하는 거버넌스 정책이 있다면 따라야 할 프로세스가 훨씬 명확해집니다. 분류가 문서화되어 있고, 소유권이 정의되어 있으며, 승인된 사용 사례가 명확하다면 필요한 정보를 확보했거나 어디에서 찾을 수 있는지 정확히 알 수 있습니다.\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"text_762674868":{"id":"text-28ee35f5d3","additionalClasses":"callout callout--general","text":"\u003Cp\u003E\u003Cb\u003E핵심 요약\u003C/b\u003E\u003C/p\u003E\n\u003Cp\u003E데이터 거버넌스 정책은 데이터가 조직 전반에서 어떻게 분류, 액세스, 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