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path{transition:300ms ease fill}","jsContent":"const pageURL = window.location.href;\r\n\r\ndocument.addEventListener('click', (e) =\u003E {\r\n\r\nconst targetClassesArr = [...e.target.classList];\r\nconsole.log(targetClassesArr);\r\nif (targetClassesArr.includes('share-icon--linkedin')) {\r\nconst shareURL = `https://www.linkedin.com/sharing/share-offsite/?url=${pageURL}`;\r\nwindow.open(shareURL, '_blank');\r\n}\r\nif (targetClassesArr.includes('share-icon--facebook')) {\r\nconst shareURL = `http://www.facebook.com/sharer/sharer.php?u=${pageURL}`;\r\nwindow.open(shareURL, '_blank');\r\n}\r\nif (targetClassesArr.includes('share-icon--twitter')) {\r\nconst shareURL = `https://twitter.com/intent/tweet?url=${pageURL}`;\r\nwindow.open(shareURL, '_blank');\r\n}\r\nif (targetClassesArr.includes('share-icon--email')) {\r\nconst shareURL = `mailto:?subject=Check out this news from Snowflake&body=${pageURL}`;\r\nwindow.open(shareURL);\r\n}\r\n\r\n\r\n\r\n\r\n\r\n});",":type":"snowflake-site/components/markup-editor","isGSAPEnabled":false}},":itemsOrder":["markup_editor"],"appliedCssClassNames":"snowflake-responsive-container-inner-padding-small"}},":itemsOrder":["container_949147658"]},"cq:LiveSyncConfig":{"cq:isDeep":true,"cq:rolloutConfigs":[],"cq:master":"/content/experience-fragments/snowflake-site/language-masters/ko/site/share-icons/share-icons",":type":"cq:LiveCopy"}},":itemsOrder":["root","cq:LiveSyncConfig"],"classNames":"aem-xf"}},":itemsOrder":["text","experiencefragment"],"appliedCssClassNames":"snowflake-responsive-container-inner-padding-small"},"flexible_column_content_container_2":{"layout":"SIMPLE","id":"fundamentals-main-content",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{"section_0":{"columnClassNames":{"text_0":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","layout":"RESPONSIVE_GRID","columnCount":12,"id":"intro",":type":"snowflake-site/components/container",":items":{"text_0":{"id":"text-0d3cdfdee7","text":"\u003Cp\u003E클라우드 환경은 데이터 관리 방식을 변화시켰습니다. 이제 데이터는 리전 간에 이동하고, ID는 페더레이션되며, 스토리지와 컴퓨팅은 독립적으로 확장됩니다. 또한 액세스 의사 결정은 사후 점검이 아니라 지속적으로 평가해야 하는 API, 정책, 메타데이터에 점점 더 의존하고 있습니다.\u003C/p\u003E\u003Cp\u003ECDMC(클라우드 데이터 관리 역량) 프레임워크는 조직이 클라우드, 멀티 클라우드, 하이브리드 클라우드 환경에서 데이터를 관리하고 제어하는 방식을 평가하고 개선하도록 지원합니다.\u003C/p\u003E","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"}},":itemsOrder":["text_0"],"appliedCssClassNames":"snowflake-responsive-container-inner-padding-extra-small"},"section_1":{"columnClassNames":{"text_0":"aem-GridColumn aem-GridColumn--default--12","title_v2":"aem-GridColumn 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-the-cdmc-framework",":type":"snowflake-site/components/container",":items":{"title_v2":{"id":"title-v2-320f1ed65c","type":"heading2","lines":["CDMC 프레임워크란?"],":type":"snowflake-site/components/title-v2"},"text":{"id":"text-3c8635910d","text":"\u003Cp\u003ECDMC는 모범 사례 기반의 평가 및 인증 프레임워크입니다. 이 프레임워크는 100개 이상의 조직에서 300명 이상이 참여한 CDMC Working Group에 의해 개발되었으며, 최초의 CDMC 통제 항목은 2021년에 발표되었습니다. 이 프레임워크는 \u003Ca rel=\"noopener noreferrer\" target=\"_blank\" href=\"https://edmcouncil.org/\"\u003EEDM Council\u003C/a\u003E이 내부 사용을 위한 무료 라이선스로 제공합니다.\u003C/p\u003E\r\n\u003Cp\u003ECDMC는 \u003Ca href=\"https://www.snowflake.com/ko/data-governance/frameworks/\"\u003E프레임워크\u003C/a\u003E인 \u003Ca href=\"https://www.snowflake.com/ko/data-governance/frameworks/dama-dmbok/\"\u003EDAMA-DMBOK\u003C/a\u003E나 \u003Ca href=\"https://www.snowflake.com/ko/data-governance/frameworks/dcam/\"\u003EDCAM\u003C/a\u003E과는 다릅니다. DAMA-DMBOK는 데이터 관리를 하나의 전문 분야로 다루는 지식 체계인 반면, DCAM은 더 광범위한 엔터프라이즈 데이터 관리 역량을 평가합니다. CDMC는 이러한 기반의 중요성을 인정하면서도, 자동화, 정책 집행 및 지속적인 증거 수집이 사후에 추가되는 선택적 기능이 아니라 설계의 일부인 클라우드 환경에서 민감 데이터를 관리하기 위해 필요한 통제 항목에 초점을 맞춥니다.\u003C/p\u003E\r\n\u003Cp\u003ECDMC는 핵심적으로 6개 영역에 걸쳐 구성된 14개의 주요 통제 및 자동화 항목을 중심으로 구성되어 있습니다.\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"text_0":{"id":"text-d1b36efba7","additionalClasses":"list--blue-bullets","text":"\u003Cul\u003E\n\u003Cli\u003E거버넌스 및 책임성\u003C/li\u003E\n\u003Cli\u003E카탈로그화 및 분류\u003C/li\u003E\n\u003Cli\u003E액세스 가능성 및 사용\u003C/li\u003E\n\u003Cli\u003E보호 및 개인 정보 보호\u003C/li\u003E\n\u003Cli\u003E데이터 수명 주기\u003C/li\u003E\n\u003Cli\u003E데이터 및 기술 아키텍처\u003C/li\u003E\n\u003C/ul\u003E\n\u003Cp\u003E이 프레임워크는 각 통제 항목을 증빙하고 평가할 수 있도록 설계되었습니다. 따라서 CDMC는 \u003Ca href=\"https://snowflake.com/en/data-governance/\"\u003E거버넌스\u003C/a\u003E 참고 프레임워크일 뿐만 아니라, 통제 범위가 확보된 영역과 그렇지 않은 영역을 파악해야 하는 클라우드 프로그램을 위한 실질적인 평가 모델로도 활용됩니다.\u003C/p\u003E\n\u003Cp\u003E또한 이 프레임워크는 특정 벤더에 종속되지 않도록 설계되었기 때문에 다양한 산업 분야와 클라우드, 멀티 클라우드 및 하이브리드 클라우드 환경 전반에서 활용될 수 있습니다. 실제로 주요 클라우드 제공업체와 생태계 벤더들은 CDMC 통제 항목을 기반으로 자체 구현 가이드나 평가 자료를 제공하고 있습니다.\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"}},":itemsOrder":["title_v2","text","text_0"],"appliedCssClassNames":"snowflake-responsive-container-inner-padding-extra-small"},"section_2":{"columnClassNames":{"text_0":"aem-GridColumn aem-GridColumn--default--12","title_v2":"aem-GridColumn 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":"the-6-capability-areas-of-the-cdmc-data-governance-framework",":type":"snowflake-site/components/container",":items":{"title_v2":{"id":"title-v2-989a3c4e31","type":"heading2","lines":["CDMC 데이터 거버넌스 프레임워크의 6가지 역량 영역"],":type":"snowflake-site/components/title-v2"},"text":{"id":"text-69a30475e9","text":"\u003Cp\u003ECDMC의 14가지 통제 항목은 이를 지원하는 6가지 운영 영역을 기준으로 살펴보면 이해하기가 더 쉽습니다.\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"text_0":{"id":"text-31d8d0bc4f","text":"\u003Col\u003E\n\u003Cli\u003E\u003Cb\u003E거버넌스 및 책임성\u003C/b\u003E은 기본적인 제어 영역을 다룹니다. 여기에는 데이터 통제 규정 준수, 소유권, 권위 있는 데이터 소스 및 프로비저닝 지점, 그리고 데이터 주권과 국경 간 데이터 이동이 포함됩니다. 팀은 민감한 자산의 소유자가 누구인지, 해당 자산의 출처가 어디인지, 규정 준수가 어떻게 모니터링되는지, 그리고 관할권 간 데이터 이동이 적절하게 관리되고 감사 가능한 상태인지 입증할 수 있어야 합니다.\u003C/li\u003E\n\u003Cli\u003E\u003Cb\u003E카탈로그화 및 분류\u003C/b\u003E는 민감 데이터가 생성 또는 수집 시 자동으로 카탈로그화되고 분류되는지, 그리고 이 프로세스가 환경 전반에서 일관되게 유지되는지를 다룹니다. 이것은 CDMC가 얼마나 클라우드 지향적인지 보여주는 가장 명확한 사례 중 하나입니다. 프레임워크가 데이터 카탈로그를 정적인 인벤토리가 아닌, 실시간으로 작동하는 제어 인터페이스로 전제하기 때문입니다.\u003C/li\u003E\n\u003Cli\u003E\u003Cb\u003E액세스 가능성 및 사용\u003C/b\u003E은 권한, 액세스 기본값, 데이터 사용 목적을 다룹니다. 민감 데이터에 대한 접근 권한은 기본적으로 생성자와 소유자에게만 부여되어야 하며, 모든 접근 내역은 추적 가능해야 합니다. 또한 민감 데이터가 포함된 데이터 공유 계약의 경우 데이터 사용 목적도 명시되어야 합니다.\u003C/li\u003E\n\u003Cli\u003E\u003Cb\u003E보호 및 개인정보 보호\u003C/b\u003E는 민감 데이터에 적합한 보안 통제와 관할 지역의 요구 사항에 따라 개인정보에 대한 데이터 보호 영향 평가(DPIA)가 자동으로 수행되도록 하는 체계를 다룹니다. 이 영역에서 CDMC는 거버넌스 요구 사항을 개인정보 보호 운영 및 증거와 가장 명확하게 연결합니다.\u003C/li\u003E\n\u003Cli\u003E\u003Cb\u003E데이터 수명 주기\u003C/b\u003E는 데이터 보존, 아카이빙, 삭제 및 데이터 품질 측정을 다룹니다. EDM Council의 다이어그램은 데이터 품질 측정을 별도의 최상위 품질 영역이 아닌 이 영역에 포함하고 있습니다. 이는 데이터 품질이 단순한 분석 과제가 아니라 지속적인 수명 주기 통제의 일부로 간주된다는 점을 보여주는 의미 있는 신호입니다.\u003C/li\u003E\n\u003Cli\u003E\u003Cb\u003E데이터 및 기술 아키텍처\u003C/b\u003E는 비용 지표와 계보를 다룹니다. CDMC는 조직이 데이터 사용, 스토리지, 이동과 관련된 비용 지표를 카탈로그에서 확인할 수 있게 하고, 민감 데이터의 계보 정보도 제공할 것을 요구합니다.\u003C/li\u003E\n\u003C/ol\u003E\n\u003Cp\u003EEDM Council의 CDMC 벤치마크 자료는 증거 기반 스코어링 모델을 사용하며, 프로세스, 참여도, 증거와 연결된 평가 결과를 통해 성숙도를 설명합니다. 실제로 조직은 이러한 평가 결과를 활용해 통제 항목별 성숙도 현황을 파악하고, 자동화, 메타데이터, 정책 적용 범위 또는 모니터링 측면에서 추가 개선이 필요한 영역을 보여주는 개선 히트맵을 작성합니다.\u003C/p\u003E\n\u003Cp\u003E다음은 6개 영역에서 성숙도가 실제로 어떤 모습으로 나타나는지 이해하는 데 도움이 되는 실용적인 예시입니다.\u003C/p\u003E\n\u003Ctable\u003E\n\u003Cthead\u003E\u003Ctr\u003E\u003Cth\u003E역량 영역\u003C/th\u003E\n\u003Cth\u003E측정 가능한 성숙도의 모습\u003C/th\u003E\n\u003C/tr\u003E\u003C/thead\u003E\u003Ctbody\u003E\u003Ctr\u003E\u003Ctd\u003E\u003Cb\u003E카탈로그화 및 분류\u003C/b\u003E\u003C/td\u003E\n\u003Ctd\u003E새로운 데이터 자산이 자동으로 카탈로그화되고, 소유자 정보가 자동으로 등록되며, 민감한 열은 수집 시점에 분류되고, 태그는 다운스트림 정책 적용을 위해 조회할 수 있습니다.\u003C/td\u003E\n\u003C/tr\u003E\u003Ctr\u003E\u003Ctd\u003E\u003Cb\u003E데이터 보호 및 개인정보 보호\u003C/b\u003E\u003C/td\u003E\n\u003Ctd\u003E마스킹, 암호화 및 개인정보 보호 통제가 정책을 통해 적용되며, 통제 적용에 대한 증빙을 수작업으로 재구성하지 않고도 확인할 수 있습니다.\u003C/td\u003E\n\u003C/tr\u003E\u003Ctr\u003E\u003Ctd\u003E\u003Cb\u003E데이터 품질\u003C/b\u003E\u003C/td\u003E\n\u003Ctd\u003E데이터 품질 검사가 정기적으로 수행되고, 예외 사항은 중앙에서 확인할 수 있으며, 소유자는 어떤 검사가 실패했는지와 문제가 발생한 위치를 추적할 수 있습니다.\u003C/td\u003E\n\u003C/tr\u003E\u003Ctr\u003E\u003Ctd\u003E\u003Cb\u003E데이터 수명 주기\u003C/b\u003E\u003C/td\u003E\n\u003Ctd\u003E보존 정책이 일관되게 적용되고, 복구 기간이 정의되어 있으며, 복원 또는 삭제 작업에 대한 감사가 가능합니다.\u003C/td\u003E\n\u003C/tr\u003E\u003Ctr\u003E\u003Ctd\u003E\u003Cb\u003E데이터 액세스 및 사용\u003C/b\u003E\u003C/td\u003E\n\u003Ctd\u003E접근은 역할 기반 또는 정책 기반 규칙에 따라 관리되고, 기본 소유권이 명확하게 정의되며, 데이터 사용 내역은 사용자, 역할 및 승인된 목적까지 추적할 수 있습니다.\u003C/td\u003E\n\u003C/tr\u003E\u003Ctr\u003E\u003Ctd\u003E\u003Cb\u003E데이터 주권\u003C/b\u003E\u003C/td\u003E\n\u003Ctd\u003E리전 및 데이터 이동 관련 제약 조건이 문서화되어 있으며, 국경 간 데이터 처리는 감사가 가능하고, 예외 사항은 정책에 따라 검토할 수 있습니다.\u003C/td\u003E\n\u003C/tr\u003E\u003C/tbody\u003E\u003C/table\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"}},":itemsOrder":["title_v2","text","text_0"],"appliedCssClassNames":"snowflake-responsive-container-inner-padding-extra-small"},"section_3":{"columnClassNames":{"h3_title_3":"aem-GridColumn aem-GridColumn--default--12","h3_title_4":"aem-GridColumn aem-GridColumn--default--12","text_1":"aem-GridColumn aem-GridColumn--default--12","h3_title_5":"aem-GridColumn aem-GridColumn--default--12","text_0":"aem-GridColumn aem-GridColumn--default--12","h3_title_6":"aem-GridColumn aem-GridColumn--default--12","title_v2":"aem-GridColumn aem-GridColumn--default--12","h3_title_0":"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_3":"aem-GridColumn aem-GridColumn--default--12","text_2":"aem-GridColumn aem-GridColumn--default--12","text_5":"aem-GridColumn aem-GridColumn--default--12","text_4":"aem-GridColumn aem-GridColumn--default--12","text_7":"aem-GridColumn aem-GridColumn--default--12","text_6":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","layout":"RESPONSIVE_GRID","columnCount":12,"id":"implementing-cdmc-with-snowflake",":type":"snowflake-site/components/container",":items":{"title_v2":{"id":"title-v2-2009dabe10","type":"heading2","lines":["Snowflake로 CDMC 구현하기"],":type":"snowflake-site/components/title-v2"},"text_0":{"id":"text-acf180c558","text":"\u003Cp\u003ECDMC는 벤더 중립적인 프레임워크이며 구현 방식은 조직마다 다를 수 있지만, Snowflake는 이러한 통제 항목의 여러 측면을 지원하는 기능을 제공합니다.\u003C/p\u003E","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"h3_title_0":{"id":"title-v2-220bb412d9","type":"heading3","lines":["카탈로그화 및 분류"],":type":"snowflake-site/components/title-v2"},"text_1":{"id":"text-26f481b7f5","text":"\u003Cp\u003E\u003Ca href=\"https://www.snowflake.com/ko/product/features/horizon/\"\u003ESnowflake Horizon Catalog\u003C/a\u003E는 메타데이터, 계보, 정책 컨텍스트를 통합하며, Snowflake의 민감 데이터 분류는 민감한 것으로 식별된 컬럼에 시스템 정의 태그를 적용합니다. Horizon은 여러 환경 전반에 보존 및 액세스 정책을 적용하도록 지원하며, 이를 통해 카탈로그화 및 분류가 능동적인 통제 계층으로 작동해야 한다는 CDMC의 요구 사항을 지원할 수 있습니다.\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"h3_title_1":{"id":"title-v2-4f1a5176f9","type":"heading3","lines":["보호 및 개인정보 보호"],":type":"snowflake-site/components/title-v2"},"text_2":{"id":"text-44e60c06a5","text":"\u003Cp\u003ESnowflake는 동적 데이터 마스킹 및 행 액세스 정책을 지원합니다. \u003Ca href=\"https://docs.snowflake.com/ko/user-guide/security-column-ddm-intro\"\u003E동적 데이터 마스킹\u003C/a\u003E 기능은 마스킹 정책을 사용해 쿼리 시간에 테이블 및 뷰 컬럼의 일반 텍스트 데이터를 선택적으로 마스킹하고, \u003Ca href=\"https://docs.snowflake.com/en/user-guide/security-row-intro\"\u003E행 액세스 정책\u003C/a\u003E은 테이블 또는 뷰에서 표시되는 행을 제어합니다. 이러한 기능을 함께 활용하면 보안 통제 및 개인정보 보호 중심의 액세스 관리와 관련된 CDMC 요구 사항을 지원할 수 있습니다.\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"h3_title_2":{"id":"title-v2-7cc588b7a5","type":"heading3","lines":["데이터 수명 주기"],":type":"snowflake-site/components/title-v2"},"text_3":{"id":"text-6e1f7edb19","text":"\u003Cp\u003ESnowflake는 최대 90일의 Time Travel과, Time Travel 보존 기간이 종료된 후 7일 동안 유지되는 Fail-safe 기능을 제공합니다. 이러한 기능은 플랫폼 내 보존 및 복구 제어 요구사항을 지원할 수 있는 내장형 기능을 제공합니다.\u003C/p\u003E","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"h3_title_3":{"id":"title-v2-cdaddb3cd5","type":"heading3","lines":["데이터 품질 관리 및 측정"],":type":"snowflake-site/components/title-v2"},"text_4":{"id":"text-7f3ea0b3cb","text":"\u003Cp\u003E데이터 수명 주기 내 데이터 품질 측정 컨트롤과 관련해, Snowflake의 데이터 품질 모니터링과 데이터 메트릭 함수는 일반적인 데이터 품질 속성을 측정할 수 있는 내장형 및 사용자 지정 방식을 제공합니다. 시스템 데이터 메트릭 함수는 테이블 또는 뷰에 할당할 수 있으며, 거버넌스 및 컴플라이언스 목적에 활용할 수 있어 CDMC Control 11의 요구 사항을 충족하는 실용적인 방법이 될 수 있습니다.\u003C/p\u003E","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"h3_title_4":{"id":"title-v2-67bf7a3233","type":"heading3","lines":["접근성 및 사용"],":type":"snowflake-site/components/title-v2"},"text_5":{"id":"text-021a70a84f","text":"\u003Cp\u003ESnowflake의 액세스 모델은 역할 기반 액세스 제어(\u003Ca href=\"https://www.snowflake.com/ko/fundamentals/rbac/\"\u003ERBAC\u003C/a\u003E), 소유권 및 권한을 중심으로 구성되며, 그 위에 다양한 정책 기반 통제가 적용됩니다. 이는 해당 프레임워크의 권한 부여와 액세스 측면을 지원하며, 태그와 메타데이터는 액세스 결정을 민감도 및 사용 컨텍스트와 연결하는 데 도움이 됩니다.\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"h3_title_5":{"id":"title-v2-9fa217eb98","type":"heading3","lines":["데이터 및 기술 아키텍처"],":type":"snowflake-site/components/title-v2"},"text_6":{"id":"text-1177017528","text":"\u003Cp\u003EHorizon Catalog의 메타데이터 및 계보 모델은 CDMC를 단순한 통제 항목 모음이 아니라 조직이 실제로 평가 가능한 프레임워크로 만들어 줍니다. 이 프레임워크는 조직이 민감한 자산을 식별하고, 해당 자산에 거버넌스 컨텍스트를 연결하며, 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역량과 기능의 관계를 간단히 정리한 것입니다.\u003C/p\u003E\n\u003Ctable\u003E\n\u003Cthead\u003E\u003Ctr\u003E\u003Cth\u003ECDMC 역량\u003C/th\u003E\n\u003Cth\u003ESnowflake 기능 지원\u003C/th\u003E\n\u003C/tr\u003E\u003C/thead\u003E\u003Ctbody\u003E\u003Ctr\u003E\u003Ctd\u003E\u003Cb\u003E거버넌스 및 책임성\u003C/b\u003E\u003C/td\u003E\n\u003Ctd\u003ESnowflake Horizon Catalog, 소유자 메타데이터, 태그, 액세스 이력, 정책 제어\u003C/td\u003E\n\u003C/tr\u003E\u003Ctr\u003E\u003Ctd\u003E\u003Cb\u003E카탈로그화 및 분류\u003C/b\u003E\u003C/td\u003E\n\u003Ctd\u003ESnowflake Horizon Catalog, 민감 데이터 분류, 오브젝트 태깅\u003C/td\u003E\n\u003C/tr\u003E\u003Ctr\u003E\u003Ctd\u003E\u003Cb\u003E액세스 가능성 및 사용\u003C/b\u003E\u003C/td\u003E\n\u003Ctd\u003ERBAC, 행 액세스 정책, 소유권 및 권한 모델\u003C/td\u003E\n\u003C/tr\u003E\u003Ctr\u003E\u003Ctd\u003E\u003Cb\u003E보호 및 개인 정보 보호\u003C/b\u003E\u003C/td\u003E\n\u003Ctd\u003E동적 데이터 마스킹, 행 액세스 정책, 분류 태그 및 정책 적용\u003C/td\u003E\n\u003C/tr\u003E\u003Ctr\u003E\u003Ctd\u003E\u003Cb\u003E데이터 수명 주기\u003C/b\u003E\u003C/td\u003E\n\u003Ctd\u003ETime Travel, Fail-Safe, Horizon Catalog의 보존 관련 정책 컨텍스트\u003C/td\u003E\n\u003C/tr\u003E\u003Ctr\u003E\u003Ctd\u003E\u003Cb\u003E데이터 및 기술 아키텍처\u003C/b\u003E\u003C/td\u003E\n\u003Ctd\u003ESnowflake Horizon Catalog의 계보 및 메타데이터, 사용량 및 비용 데이터와 연계된 거버넌스 보고\u003C/td\u003E\n\u003C/tr\u003E\u003C/tbody\u003E\u003C/table\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","h3_title_3","text_4","h3_title_4","text_5","h3_title_5","text_6","h3_title_6","text_7"],"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 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