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------------------------ -->\n","\u003Ch2\u003E개요\u003C/h2\u003E\n","\u003Cp\u003ESnowSQL은 Snowflake와 상호 작용하기 위해 사용되는 소프트웨어 CLI 도구입니다. SnowSQL을 사용하여 Snowflake Data Cloud의 모든 측면을 제어할 수 있습니다. 여기에는 데이터 업로드, 데이터 쿼리, 데이터 변경 및 데이터 삭제가 포함됩니다.  이 가이드에서는 SnowSQL을 검토하고 이를 사용하여 데이터베이스를 생성하고, 데이터를 로드하고, CLI에서 바로 테이블 및 데이터를 관리하는 데 유용한 명령을 배울 수 있습니다.\u003C/p\u003E\n","\u003Ch3\u003E사전 필요 조건 및 지식\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003E짧은 \u003Ca href=\"https://www.youtube.com/watch?v=fEtoYweBNQ4&ab_channel=SnowflakeInc.\"\u003ESnowflake 소개\u003C/a\u003E 동영상\u003C/li\u003E\u003Cli\u003ESnowflake \u003Ca href=\"https://www.youtube.com/watch?v=us6MChC8T9Y&ab_channel=SnowflakeInc.\"\u003E데이터 로딩 기본 사항\u003C/a\u003E 동영상\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003E학습할 내용\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003ESnowflake 계정 생성 방법\u003C/li\u003E\u003Cli\u003E로컬에서 SnowSQL 설치 방법\u003C/li\u003E\u003Cli\u003E클라우드 데이터베이스 및 테이블 설정 방법\u003C/li\u003E\u003Cli\u003E가상 웨어하우스 생성 방법\u003C/li\u003E\u003Cli\u003E샘플 데이터를 클라우드로 마이그레이션하는 방법\u003C/li\u003E\u003Cli\u003E클라우드 데이터 쿼리 방법\u003C/li\u003E\u003Cli\u003E추가 데이터 삽입 방법\u003C/li\u003E\u003Cli\u003E데이터베이스 오브젝트 삭제 및 SnowSQL 연결 종료 방법\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003E시작하기 전에 필요한 컴퓨팅 요구 사항을 확인하시기 바랍니다. 또한 이 자습서를 완료하기 위해 샘플 파일을 다운로드하고 추후 사용을 위해 폴더 위치를 기록하십시오.\u003C/p\u003E\n","\u003Ch3\u003E필요한 것\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003E로컬 \u003Ca href=\"https://docs.snowflake.com/ko/user-guide/setup.html\"\u003E브라우저 및 운영 체제 요구 사항\u003C/a\u003E\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"https://docs.snowflake.com/ko/user-guide/getting-started-tutorial-prerequisites.html#sample-data-files-for-loading\"\u003E샘플 데이터 파일\u003C/a\u003E 다운로드\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003E구축할 것\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003E클라우드 호스트와 연결 및 SnowSQL로 데이터 관리\u003C/li\u003E\u003C/ul\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003ESnowSQL 설정\u003C/h2\u003E\n","\u003Ch3\u003ESnowflake 계정 생성\u003C/h3\u003E\n","\u003Cp\u003ESnowflake는 무료로 Snowflake 서비스를 이용해 볼 수 있도록 \u003Ca href=\"https://signup.snowflake.com/?utm_cta=quickstarts_\"\u003E평가판 계정\u003C/a\u003E을 제공합니다.\u003C/p\u003E\n","\u003Ch3\u003ESnowflake의 웹 콘솔 액세스\u003C/h3\u003E\n","\u003Cp\u003E\u003Ccode\u003Ehttps://<account-name>.snowflakecomputing.com/console/login\u003C/code\u003E\u003C/p\u003E\n","\u003Cp\u003E브라우저에서 웹 인터페이스에 로그인합니다. URL은 여러분의 \u003Ca href=\"https://docs.snowflake.com/ko/user-guide/connecting.html#your-snowflake-account-name\"\u003E계정 이름\u003C/a\u003E과 잠재적으로 지역을 포함합니다.\u003C/p\u003E\n","\u003Ch3\u003E계정 권한 확장\u003C/h3\u003E\n","\u003Cp\u003ESnowflake의 웹 인터페이스는 다양한 기능을 제공하지만 지금은 계정 역할을 기본값인 \u003Ccode\u003ESYSADMIN\u003C/code\u003E에서 \u003Ccode\u003EACCOUNTADMIN\u003C/code\u003E으로 전환하기만 하겠습니다. 이 권한 확장을 통해 사용자 계정은 오브젝트를 생성할 수 있습니다.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"_shared_assets/Snowflake_SwitchRole.png\" alt=\"account-role-change-image\"\u003E\u003C/p\u003E\n","\u003Ch3\u003ESnowSQL 설치 프로그램 다운로드\u003C/h3\u003E\n","\u003Cp\u003ESnowSQL을 Linux, Windows 또는 Mac에 다운로드하고 설치할 수 있습니다. 이 예에서는 AWS 엔드포인트를 통해 macOS를 위해 설치 프로그램을 다운로드하겠습니다. 다른 운영 체제를 사용하고 있거나 다른 방법을 선호한다면 SnowSQL을 설치하는 모든 방법을 \u003Ca href=\"https://docs.snowflake.com/ko/user-guide/snowsql-install-config.html#\"\u003E여기\u003C/a\u003E에서 확인하십시오.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-console\"\u003Ecurl -O https://sfc-repo.snowflakecomputing.com/snowsql/bootstrap/​<bootstrap-version>/darwin_x86_4/snowsql-<snowsql-version>-darwin_x86_64.pkg\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E\u003Ccode\u003E​<bootstrap-version>\u003C/code\u003E 및 \u003Ccode\u003E<snowsql-version>\u003C/code\u003E​숫자를 cURL 명령 내에서 지정합니다.\u003C/p\u003E\n","\u003Cp\u003E아래 예는 macOS를 위해 부트스트랩 버전 1.2 및 SnowSQL 버전 1.2.9를 다운로드하기 위한 AWS 엔드포인트에 대한 cURL 명령입니다.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-console\"\u003Ecurl -O https://sfc-repo.snowflakecomputing.com/snowsql/bootstrap/1.2/darwin_x86_64/snowsql-1.2.9-darwin_x86_64.pkg​\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-snowsql-kr/Snowflake_Download_Installer.png\" alt=\"Snowflake_Download_Installer_image\"\u003E\u003C/p\u003E\n","\u003Ch3\u003E로컬에서 SnowSQL 설치\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003E설치 프로그램 파일을 두 번 클릭하고 마법사 프롬프트를 따릅니다.\u003C/li\u003E\u003Cli\u003E\u003Ccode\u003E$ snowsql -v\u003C/code\u003E 버전을 확인하여 성공적으로 설치되었는지 확인합니다.\u003C/li\u003E\u003Cli\u003E컴퓨터를 재부팅하고 필요하다면 다시 확인합니다.\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003E이러한 단계를 완료하면 SnowSQL을 사용하여 다음 섹션에서 데이터베이스를 만들 준비가 된 것입니다.\u003C/p\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003E데이터베이스 생성\u003C/h2\u003E\n","\u003Ch3\u003E터미널에서 로그인\u003C/h3\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-console\"\u003Esnowsql -a <account-name> -u <username>\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E\u003Ccode\u003E-a\u003C/code\u003E 플래그는 Snowflake 계정을 나타내며 \u003Ccode\u003E-u\u003C/code\u003E 플래그는 사용자 이름을 나타냅니다.\u003C/p\u003E\n","\u003Ch3\u003E데이터베이스 및 스키마 생성\u003C/h3\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-console\"\u003Ecreate or replace database sf_tuts;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E\u003Ca href=\"https://docs.snowflake.com/ko/sql-reference/sql/create-database.html\"\u003ECREATE TABLE 또는 REPLACE TABLE\u003C/a\u003E 명령은 새로운 데이터베이스를 만들며 ‘public’ 스키마를 자동으로 생성합니다. 이는 또한 여러분의 현재 세션을 위해 새로운 데이터베이스를 활성 상태로 만듭니다.\u003C/p\u003E\n","\u003Cp\u003E데이터베이스가 여러분의 현재 세션에서 사용되고 있는지 확인하려면 다음을 실행합니다.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003Eselect current_database(),\ncurrent_schema();\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Ch3\u003E테이블 생성\u003C/h3\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-console\"\u003Ecreate or replace table emp_basic (\n  first_name string ,\n  last_name string ,\n  email string ,\n  streetaddress string ,\n  city string ,\n  start_date date\n  );\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E\u003Ca href=\"https://docs.snowflake.com/ko/sql-reference/sql/create-table.html\"\u003ECREATE TABLE 또는 REPLACE TABLE\u003C/a\u003E을 실행하면 지정된 매개 변수에 따라 새로운 테이블이 구축될 것입니다. 이 예는 샘플 CSV 직원 데이터 파일에 있는 동일한 열을 반영합니다.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-snowsql-kr/Snowflake_createTable.png\" alt=\"Snowflake_Create_Table_image\"\u003E\u003C/p\u003E\n","\u003Ch3\u003E가상 웨어하우스 생성\u003C/h3\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-console\"\u003Ecreate or replace warehouse sf_tuts_wh with\n  warehouse_size='X-SMALL'\n  auto_suspend = 180\n  auto_resume = true\n  initially_suspended=true;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E생성한 후 이 가상 웨어하우스는 여러분의 현재 세션을 위해 활성 상태가 되며 컴퓨팅 리소스가 필요해지면 실행됩니다.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-snowsql-kr/Snowflake_createWarehouse.png\" alt=\"Snowflake_createWarehouse_image\"\u003E\u003C/p\u003E\n","\u003Cp\u003E데이터베이스 오브젝트가 준비되었다면 SnowSQL을 사용하여 샘플 데이터를 \u003Ccode\u003Eemp_basic\u003C/code\u003E 테이블로 이동하겠습니다.\u003C/p\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003E데이터 업로드\u003C/h2\u003E\n","\u003Cp\u003E아직 샘플 파일을 다운로드하지 않았다면 다음에서 다운로드할 수 있습니다.\u003C/p\u003E\n","\u003Cp\u003E<button>\u003Ca href=\"https://docs.snowflake.com/ko/_downloads/34f4a66f56d00340f8f7a92acaccd977/getting-started.zip\"\u003E샘플 데이터 다운로드\u003C/a\u003E</button>\u003C/p\u003E\n","\u003Ch3\u003EPUT을 통해 파일 스테이징\u003C/h3\u003E\n","\u003Ch4\u003ELinux\u003C/h4\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-console\"\u003Eput file:///tmp/employees0*.csv @<database-name>.<schema-name>.%<table-name>;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Ch4\u003EWindows\u003C/h4\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-console\"\u003Eput file://c:tempemployees0*.csv @sf_tuts.public.%emp_basic;\n\u003C/code\u003E\u003C/pre\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Ccode\u003Efile\u003C/code\u003E은 스테이징할 파일의 \u003Cem\u003E로컬\u003C/em\u003E 파일 경로를 지정합니다. 파일 경로는 운영 체제별로 다릅니다.\u003C/li\u003E\u003Cli\u003E\u003Ccode\u003E@<database-name>.<schema-name>.%<table-name>\u003C/code\u003E은 스테이징된 파일이 향하는 특정 데이터베이스, 스키마 및 테이블입니다.\u003C/li\u003E\u003Cli\u003E데이터베이스 전에 있는 \u003Ccode\u003E@\u003C/code\u003E 기호와 \u003Ccode\u003E@sf_tuts.public\u003C/code\u003E 스키마 이름은 파일이 외부 스테이지가 아닌 내부 스테이지에 업로드됨을 나타냅니다. \u003Ccode\u003E%emp_basic\u003C/code\u003E 테이블 이름 전에 있는 \u003Ccode\u003E%\u003C/code\u003E 기호는 사용되고 있는 내부 스테이지가 테이블을 위한 스테이지임을 나타냅니다. 스테이지에 대한 더 자세한 정보는 Local File System에서 Staging Data Files를 확인하십시오.\u003C/li\u003E\u003C/ul\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-console\"\u003Eput file:///tmp/employees0*.csv @sf_tuts.public.%emp_basic;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EmacOS \u003Ccode\u003Efile:///tmp/\u003C/code\u003E 폴더의 샘플 직원 CSV 파일을 \u003Ccode\u003Esf_tuts\u003C/code\u003E 데이터베이스 내에 있는 \u003Ccode\u003Eemp_basic\u003C/code\u003E 테이블로 스테이징하기 위한 PUT 호출입니다.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-snowsql-kr/Snowflake_StagePut.png\" alt=\"Snowflake_StagePut_image\"\u003E\u003C/p\u003E\n","\u003Ch3\u003E스테이징된 파일 LIST\u003C/h3\u003E\n\u003Cpre\u003E\u003Ccode\u003Elist @<database-name>.<schema-name>.%<table-name>;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E스테이징된 파일을 확인하기 위해 \u003Ccode\u003Elist\u003C/code\u003E 명령을 실행합니다.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003Elist @sf_tuts.public.%emp_basic;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E위 예시 명령은 \u003Ccode\u003Eemp_basic\u003C/code\u003E 테이블을 위해 스테이징된 파일을 출력하기 위한 것입니다. 더 많은 LIST 구문은 \u003Ca href=\"https://docs.snowflake.com/ko/sql-reference/sql/list.html\"\u003E여기\u003C/a\u003E에서 자세히 알아보십시오.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-snowsql-kr/Snowflake_ViewStaged.png\" alt=\"Snowflake_ViewStaged_image\"\u003E\u003C/p\u003E\n","\u003Ch3\u003E테이블로 \u003Ca href=\"https://docs.snowflake.com/ko/sql-reference/sql/copy-into-table.html\"\u003ECOPY INTO\u003C/a\u003E\u003C/h3\u003E\n\u003Cpre\u003E\u003Ccode\u003Ecopy into emp_basic\n  from @%emp_basic\n  file_format = (type = csv field_optionally_enclosed_by='"')\n  pattern = '.*employees0[1-5].csv.gz'\n  on_error = 'skip_file';\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E파일을 스테이징한 다음 데이터는 \u003Ccode\u003Eemp_basic\u003C/code\u003E 테이블로 복사됩니다. 이 DML 명령은 또한 이전에 만든 가상 웨어하우스를 자동으로 재개합니다.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-snowsql-kr/Snowflake_CopyStaged.png\" alt=\"Snowflake_CopyStaged_image\"\u003E\u003C/p\u003E\n","\u003Cp\u003E출력은 데이터가 성공적으로 복사되었으며 모든 오류를 기록하는지를 나타냅니다.\u003C/p\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003E데이터 쿼리\u003C/h2\u003E\n","\u003Cp\u003E클라우드에 있는 데이터를 쿼리하는 방법을 알아야 합니다. 여러분의 데이터를 빠르게 호출할 수 있도록 하는 몇몇 호출을 다루겠습니다.\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Ccode\u003E*\u003C/code\u003E 와일드카드 앞에 있는 \u003Ccode\u003Eselect\u003C/code\u003E 명령은 \u003Ccode\u003E<table-name>\u003C/code\u003E의 모든 행과 열을 반환합니다.\u003C/li\u003E\u003C/ul\u003E\n\u003Cpre\u003E\u003Ccode\u003Eselect * from emp_basic;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E다음 예시 명령은 \u003Ccode\u003Eemp_basic\u003C/code\u003E 테이블에 있는 모든 것을 대상으로 \u003Ccode\u003Eselect\u003C/code\u003E 명령을 수행합니다.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-snowsql-kr/Snowflake_SELECT.png\" alt=\"Snowflake_SELECT_image\"\u003E\u003C/p\u003E\n","\u003Cp\u003E테이블에 있는 모든 데이터를 살피는 것은 가장 효율적으로 시간을 사용하는 방법이 아닙니다. 몇몇 함수와 일부 쿼리 구문을 사용하면 특정 결과를 간단히 가져올 수 있습니다.\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Ca href=\"https://docs.snowflake.com/ko/sql-reference/constructs/where.html#where\"\u003EWHERE\u003C/a\u003E는 선택 쿼리에 추가할 수 있는 추가 절입니다.\u003C/li\u003E\u003C/ul\u003E\n\u003Cpre\u003E\u003Ccode\u003Eselect * from emp_basic where first_name = 'Ron';\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E이 쿼리는 \u003Ccode\u003Eemp_basic\u003C/code\u003E 테이블에서 \u003Ccode\u003Efirst_name\u003C/code\u003E이 ‘Ron’인 직원 목록을 반환합니다.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-snowsql-kr/Snowflake_SELECTRon.png\" alt=\"Snowflake_SELECTRon_image\"\u003E\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Ca href=\"https://docs.snowflake.com/ko/sql-reference/functions/like.html\"\u003ELIKE\u003C/a\u003E 함수는 \u003Ccode\u003E%\u003C/code\u003E 및 \u003Ccode\u003E_\u003C/code\u003E 와일드카드를 지원합니다.\u003C/li\u003E\u003C/ul\u003E\n\u003Cpre\u003E\u003Ccode\u003Eselect email from emp_basic where email like '%.au';\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003ELIKE 함수는 \u003Ccode\u003Eau\u003C/code\u003E를 위해 \u003Ccode\u003Eemp_basic\u003C/code\u003E 테이블에 있는 모든 이메일을 확인하며 레코드를 반환합니다.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-snowsql-kr/Snowflake_SELECTEmailAU.png\" alt=\"Snowflake_SELECTEmailAU_image\"\u003E\u003C/p\u003E\n","\u003Cp\u003ESnowflake는 다양한 \u003Ca href=\"https://docs.snowflake.com/ko/sql-reference-functions.html\"\u003E함수\u003C/a\u003E, \u003Ca href=\"https://docs.snowflake.com/ko/sql-reference/operators.html\"\u003E연산자\u003C/a\u003E 및 \u003Ca href=\"https://docs.snowflake.com/ko/sql-reference-commands.html\"\u003E명령\u003C/a\u003E을 지원합니다. 그러나 보다 구체적인 작업을 수행해야 한다면 \u003Ca href=\"https://docs.snowflake.com/ko/sql-reference/external-functions-introduction.html\"\u003E외부 함수\u003C/a\u003E 설정을 고려하십시오.\u003C/p\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003E데이터 관리 및 삭제\u003C/h2\u003E\n","\u003Cp\u003E종종 데이터는 고정적이지 않습니다. 여러분의 클라우드 데이터베이스를 유지하기 위한 몇몇 일반적인 방법을 검토하겠습니다.\u003C/p\u003E\n","\u003Cp\u003EHR에서 또 다른 직원을 고용한 후에 CSV 파일을 업데이트한다면 모든 CSV를 다운로드하고 스테이징하고 복사하는 것은 지루할 것입니다. 대신 단순하게 새로운 직원 정보를 대상 테이블에 삽입합니다.\u003C/p\u003E\n","\u003Ch4\u003E데이터 삽입\u003C/h4\u003E\n","\u003Cp\u003E\u003Ca href=\"https://docs.snowflake.com/ko/sql-reference/sql/insert.html\"\u003EINSERT\u003C/a\u003E는 테이블을 추가 값으로 업데이트할 것입니다.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003Einsert into emp_basic values\n  ('Clementine','Adamou','cadamou@sf_tuts.com','10510 Sachs Road','Klenak','2017-9-22') ,\n  ('Marlowe','De Anesy','madamouc@sf_tuts.co.uk','36768 Northfield Plaza','Fangshan','2017-1-26');\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Ch4\u003E오브젝트 삭제\u003C/h4\u003E\n","\u003Cp\u003E표시된 명령에서 \u003Ccode\u003Einsert\u003C/code\u003E는 2명의 새로운 직원을 \u003Ccode\u003Eemp_basic\u003C/code\u003E 테이블에 추가하기 위해 사용됩니다.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-snowsql-kr/Snowflake_INSERT.png\" alt=\"Snowflake_INSERT_image\"\u003E\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Ca href=\"https://docs.snowflake.com/ko/sql-reference/sql/drop.html\"\u003EDROP\u003C/a\u003E 오브젝트는 더 이상 사용되지 않습니다.\u003C/li\u003E\u003C/ul\u003E\n\u003Cpre\u003E\u003Ccode\u003Edrop database if exists sf_tuts;\n\ndrop warehouse if exists sf_tuts_wh;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E이 자습서에서 기본 사항을 연습한 후에는 \u003Ccode\u003Esf-tuts\u003C/code\u003E 데이터베이스와 웨어하우스가 더 이상 필요하지 않습니다. 이를 모두 삭제하려면 \u003Ccode\u003Edrop\u003C/code\u003E 명령을 사용합니다.\u003C/p\u003E\n<!--![Snowflake_DROP_image](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-snowsql-kr/Snowflake_DROP.png)-->\n\u003Cul\u003E\u003Cli\u003E\u003Ccode\u003E!exit\u003C/code\u003E 또는 \u003Ccode\u003E!disconnect\u003C/code\u003E로 연결 종료\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003E보안상의 이유로 여러분의 터미널 연결을 불필요하게 유지하는 않는 것이 좋습니다. SnowSQL 연결을 종료할 준비가 되었다면 단순히 \u003Ccode\u003E!exit\u003C/code\u003E를 입력합니다.\u003C/p\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003E결론\u003C/h2\u003E\n","\u003Ch3\u003E애플리케이션을 위해 SnowSQL 사용\u003C/h3\u003E\n","\u003Cp\u003ESnowflake 계정을 생성했고, 컴퓨팅 리소스로 클라우드 데이터베이스를 설정했고, SnowSQL을 통해 클라우드로 데이터를 마이그레이션했습니다. 잘하셨습니다! 클라우드를 사용하면 많은 이점을 누릴 수 있습니다. 이제 Snowflake를 시작하는 것이 얼마나 쉬운지 알게 되었으니 다음 단계를 고려할 시간입니다.\u003C/p\u003E\n","\u003Cp\u003ESnowSQL을 통한 데이터 로딩에 대해 잘 알고 있으니 이를 사용하여 여러분의 애플리케이션을 실행하십시오. SnowSQL을 통해 \u003Ca href=\"https://docs.snowflake.com/ko/developer-apps.html\"\u003E애플리케이션 개발\u003C/a\u003E을 계속하여 Python 애플리케이션과 여러분의 데이터를 연결하는 방법을 알아보십시오. 애플리케이션 데이터가 이미 있다면 \u003Ccode\u003Eemp_basic\u003C/code\u003E 테이블을 완료하기 위해 사용했던 단계를 통해 이를 클라우드로 마이그레이션하는 것을 고려하십시오. Snowflake의 도구 및 설명서는 광범위하며 클라우드 컴퓨팅의 위력을 여러분에게 선사합니다.\u003C/p\u003E\n","\u003Ch3\u003E다룬 내용\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003ESnowSQL 설정\u003C/li\u003E\u003Cli\u003ESnowSQL을 사용하여 데이터 업로드\u003C/li\u003E\u003Cli\u003ESnowSQL을 사용하여 데이터 쿼리\u003C/li\u003E\u003Cli\u003ESnowSQL을 사용하여 데이터 관리 및 삭제\u003C/li\u003E\u003C/ul\u003E"],"isDeveloperGuidesPage":false,":items":{},":itemsOrder":[],"elements":{"quickstartArticleBody":{"dataType":"string","title":"Quickstart Article Body","value":"\u003C!-- ------------------------ --\u003E\r\n## 개요\r\n\r\n\r\nSnowSQL은 Snowflake와 상호 작용하기 위해 사용되는 소프트웨어 CLI 도구입니다. SnowSQL을 사용하여 Snowflake Data Cloud의 모든 측면을 제어할 수 있습니다. 여기에는 데이터 업로드, 데이터 쿼리, 데이터 변경 및 데이터 삭제가 포함됩니다.  이 가이드에서는 SnowSQL을 검토하고 이를 사용하여 데이터베이스를 생성하고, 데이터를 로드하고, CLI에서 바로 테이블 및 데이터를 관리하는 데 유용한 명령을 배울 수 있습니다.\r\n\r\n### 사전 필요 조건 및 지식\r\n\r\n- 짧은 [Snowflake 소개](https://www.youtube.com/watch?v=fEtoYweBNQ4&ab_channel=SnowflakeInc.) 동영상\r\n- Snowflake [데이터 로딩 기본 사항](https://www.youtube.com/watch?v=us6MChC8T9Y&ab_channel=SnowflakeInc.) 동영상\r\n\r\n### 학습할 내용\r\n\r\n- Snowflake 계정 생성 방법\r\n- 로컬에서 SnowSQL 설치 방법\r\n- 클라우드 데이터베이스 및 테이블 설정 방법\r\n- 가상 웨어하우스 생성 방법\r\n- 샘플 데이터를 클라우드로 마이그레이션하는 방법\r\n- 클라우드 데이터 쿼리 방법\r\n- 추가 데이터 삽입 방법\r\n- 데이터베이스 오브젝트 삭제 및 SnowSQL 연결 종료 방법\r\n\r\n시작하기 전에 필요한 컴퓨팅 요구 사항을 확인하시기 바랍니다. 또한 이 자습서를 완료하기 위해 샘플 파일을 다운로드하고 추후 사용을 위해 폴더 위치를 기록하십시오.\r\n\r\n### 필요한 것\r\n\r\n- 로컬 [브라우저 및 운영 체제 요구 사항](https://docs.snowflake.com/ko/user-guide/setup.html)\r\n- [샘플 데이터 파일](https://docs.snowflake.com/ko/user-guide/getting-started-tutorial-prerequisites.html#sample-data-files-for-loading) 다운로드\r\n\r\n### 구축할 것\r\n\r\n- 클라우드 호스트와 연결 및 SnowSQL로 데이터 관리\r\n\r\n\u003C!-- ------------------------ --\u003E\r\n## SnowSQL 설정\r\n\r\n\r\n### Snowflake 계정 생성\r\n\r\nSnowflake는 무료로 Snowflake 서비스를 이용해 볼 수 있도록 [평가판 계정](https://signup.snowflake.com/?utm_cta=quickstarts_)을 제공합니다.\r\n\r\n### Snowflake의 웹 콘솔 액세스\r\n\r\n`https://\u003Caccount-name\u003E.snowflakecomputing.com/console/login`\r\n\r\n브라우저에서 웹 인터페이스에 로그인합니다. URL은 여러분의 [계정 이름](https://docs.snowflake.com/ko/user-guide/connecting.html#your-snowflake-account-name)과 잠재적으로 지역을 포함합니다.\r\n\r\n### 계정 권한 확장\r\n\r\nSnowflake의 웹 인터페이스는 다양한 기능을 제공하지만 지금은 계정 역할을 기본값인 `SYSADMIN`에서 `ACCOUNTADMIN`으로 전환하기만 하겠습니다. 이 권한 확장을 통해 사용자 계정은 오브젝트를 생성할 수 있습니다.\r\n\r\n![account-role-change-image](_shared_assets/Snowflake_SwitchRole.png)\r\n\r\n### SnowSQL 설치 프로그램 다운로드\r\n\r\nSnowSQL을 Linux, Windows 또는 Mac에 다운로드하고 설치할 수 있습니다. 이 예에서는 AWS 엔드포인트를 통해 macOS를 위해 설치 프로그램을 다운로드하겠습니다. 다른 운영 체제를 사용하고 있거나 다른 방법을 선호한다면 SnowSQL을 설치하는 모든 방법을 [여기](https://docs.snowflake.com/ko/user-guide/snowsql-install-config.html#)에서 확인하십시오.\r\n\r\n```console\r\ncurl -O https://sfc-repo.snowflakecomputing.com/snowsql/bootstrap/​\u003Cbootstrap-version\u003E/darwin_x86_4/snowsql-\u003Csnowsql-version\u003E-darwin_x86_64.pkg\r\n```\r\n\r\n`​\u003Cbootstrap-version\u003E` 및 `\u003Csnowsql-version\u003E`​숫자를 cURL 명령 내에서 지정합니다.\r\n\r\n아래 예는 macOS를 위해 부트스트랩 버전 1.2 및 SnowSQL 버전 1.2.9를 다운로드하기 위한 AWS 엔드포인트에 대한 cURL 명령입니다.\r\n\r\n```console\r\ncurl -O https://sfc-repo.snowflakecomputing.com/snowsql/bootstrap/1.2/darwin_x86_64/snowsql-1.2.9-darwin_x86_64.pkg​\r\n```\r\n\r\n![Snowflake_Download_Installer_image](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-snowsql-kr/Snowflake_Download_Installer.png)\r\n\r\n### 로컬에서 SnowSQL 설치\r\n\r\n- 설치 프로그램 파일을 두 번 클릭하고 마법사 프롬프트를 따릅니다.\r\n- `$ snowsql -v` 버전을 확인하여 성공적으로 설치되었는지 확인합니다.\r\n- 컴퓨터를 재부팅하고 필요하다면 다시 확인합니다.\r\n\r\n이러한 단계를 완료하면 SnowSQL을 사용하여 다음 섹션에서 데이터베이스를 만들 준비가 된 것입니다.\r\n\r\n\u003C!-- ------------------------ --\u003E\r\n## 데이터베이스 생성\r\n\r\n\r\n### 터미널에서 로그인\r\n\r\n```console\r\nsnowsql -a \u003Caccount-name\u003E -u \u003Cusername\u003E\r\n```\r\n\r\n`-a` 플래그는 Snowflake 계정을 나타내며 `-u` 플래그는 사용자 이름을 나타냅니다.\r\n\r\n### 데이터베이스 및 스키마 생성\r\n\r\n```console\r\ncreate or replace database sf_tuts;\r\n```\r\n\r\n[CREATE TABLE 또는 REPLACE TABLE](https://docs.snowflake.com/ko/sql-reference/sql/create-database.html) 명령은 새로운 데이터베이스를 만들며 ‘public’ 스키마를 자동으로 생성합니다. 이는 또한 여러분의 현재 세션을 위해 새로운 데이터베이스를 활성 상태로 만듭니다.\r\n\r\n데이터베이스가 여러분의 현재 세션에서 사용되고 있는지 확인하려면 다음을 실행합니다.\r\n\r\n```\r\nselect current_database(),\r\ncurrent_schema();\r\n```\r\n\r\n### 테이블 생성\r\n\r\n```console\r\ncreate or replace table emp_basic (\r\n  first_name string ,\r\n  last_name string ,\r\n  email string ,\r\n  streetaddress string ,\r\n  city string ,\r\n  start_date date\r\n  );\r\n```\r\n\r\n[CREATE TABLE 또는 REPLACE TABLE](https://docs.snowflake.com/ko/sql-reference/sql/create-table.html)을 실행하면 지정된 매개 변수에 따라 새로운 테이블이 구축될 것입니다. 이 예는 샘플 CSV 직원 데이터 파일에 있는 동일한 열을 반영합니다.\r\n\r\n![Snowflake_Create_Table_image](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-snowsql-kr/Snowflake_createTable.png)\r\n\r\n### 가상 웨어하우스 생성\r\n\r\n```console\r\ncreate or replace warehouse sf_tuts_wh with\r\n  warehouse_size='X-SMALL'\r\n  auto_suspend = 180\r\n  auto_resume = true\r\n  initially_suspended=true;\r\n```\r\n\r\n생성한 후 이 가상 웨어하우스는 여러분의 현재 세션을 위해 활성 상태가 되며 컴퓨팅 리소스가 필요해지면 실행됩니다.\r\n\r\n![Snowflake_createWarehouse_image](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-snowsql-kr/Snowflake_createWarehouse.png)\r\n\r\n데이터베이스 오브젝트가 준비되었다면 SnowSQL을 사용하여 샘플 데이터를 `emp_basic` 테이블로 이동하겠습니다.\r\n\r\n\u003C!-- ------------------------ --\u003E\r\n## 데이터 업로드\r\n\r\n\r\n아직 샘플 파일을 다운로드하지 않았다면 다음에서 다운로드할 수 있습니다.\r\n\r\n\u003Cbutton\u003E[샘플 데이터 다운로드](https://docs.snowflake.com/ko/_downloads/34f4a66f56d00340f8f7a92acaccd977/getting-started.zip)\u003C/button\u003E\r\n\r\n### PUT을 통해 파일 스테이징\r\n\r\n#### Linux\r\n\r\n```console\r\nput file:///tmp/employees0*.csv @\u003Cdatabase-name\u003E.\u003Cschema-name\u003E.%\u003Ctable-name\u003E;\r\n```\r\n\r\n#### Windows\r\n\r\n````console\r\nput file://c:tempemployees0*.csv @sf_tuts.public.%emp_basic;\r\n````\r\n\r\n- `file`은 스테이징할 파일의 *로컬* 파일 경로를 지정합니다. 파일 경로는 운영 체제별로 다릅니다.\r\n- `@\u003Cdatabase-name\u003E.\u003Cschema-name\u003E.%\u003Ctable-name\u003E`은 스테이징된 파일이 향하는 특정 데이터베이스, 스키마 및 테이블입니다.\r\n- 데이터베이스 전에 있는 `@` 기호와 `@sf_tuts.public` 스키마 이름은 파일이 외부 스테이지가 아닌 내부 스테이지에 업로드됨을 나타냅니다. `%emp_basic` 테이블 이름 전에 있는 `%` 기호는 사용되고 있는 내부 스테이지가 테이블을 위한 스테이지임을 나타냅니다. 스테이지에 대한 더 자세한 정보는 Local File System에서 Staging Data Files를 확인하십시오.\r\n\r\n```console\r\nput file:///tmp/employees0*.csv @sf_tuts.public.%emp_basic;\r\n```\r\n\r\nmacOS `file:///tmp/` 폴더의 샘플 직원 CSV 파일을 `sf_tuts` 데이터베이스 내에 있는 `emp_basic` 테이블로 스테이징하기 위한 PUT 호출입니다.\r\n\r\n![Snowflake_StagePut_image](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-snowsql-kr/Snowflake_StagePut.png)\r\n\r\n### 스테이징된 파일 LIST\r\n\r\n```\r\nlist @\u003Cdatabase-name\u003E.\u003Cschema-name\u003E.%\u003Ctable-name\u003E;\r\n```\r\n\r\n스테이징된 파일을 확인하기 위해 `list` 명령을 실행합니다.\r\n\r\n```\r\nlist @sf_tuts.public.%emp_basic;\r\n```\r\n\r\n위 예시 명령은 `emp_basic` 테이블을 위해 스테이징된 파일을 출력하기 위한 것입니다. 더 많은 LIST 구문은 [여기](https://docs.snowflake.com/ko/sql-reference/sql/list.html)에서 자세히 알아보십시오.\r\n\r\n![Snowflake_ViewStaged_image](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-snowsql-kr/Snowflake_ViewStaged.png)\r\n\r\n### 테이블로 [COPY INTO](https://docs.snowflake.com/ko/sql-reference/sql/copy-into-table.html)\r\n\r\n```\r\ncopy into emp_basic\r\n  from @%emp_basic\r\n  file_format = (type = csv field_optionally_enclosed_by='\"')\r\n  pattern = '.*employees0[1-5].csv.gz'\r\n  on_error = 'skip_file';\r\n```\r\n\r\n파일을 스테이징한 다음 데이터는 `emp_basic` 테이블로 복사됩니다. 이 DML 명령은 또한 이전에 만든 가상 웨어하우스를 자동으로 재개합니다.\r\n\r\n![Snowflake_CopyStaged_image](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-snowsql-kr/Snowflake_CopyStaged.png)\r\n\r\n출력은 데이터가 성공적으로 복사되었으며 모든 오류를 기록하는지를 나타냅니다.\r\n\r\n\u003C!-- ------------------------ --\u003E\r\n## 데이터 쿼리\r\n\r\n\r\n클라우드에 있는 데이터를 쿼리하는 방법을 알아야 합니다. 여러분의 데이터를 빠르게 호출할 수 있도록 하는 몇몇 호출을 다루겠습니다.\r\n\r\n- `*` 와일드카드 앞에 있는 `select` 명령은 `\u003Ctable-name\u003E`의 모든 행과 열을 반환합니다.\r\n\r\n```\r\nselect * from emp_basic;\r\n```\r\n\r\n다음 예시 명령은 `emp_basic` 테이블에 있는 모든 것을 대상으로 `select` 명령을 수행합니다.\r\n\r\n![Snowflake_SELECT_image](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-snowsql-kr/Snowflake_SELECT.png)\r\n\r\n테이블에 있는 모든 데이터를 살피는 것은 가장 효율적으로 시간을 사용하는 방법이 아닙니다. 몇몇 함수와 일부 쿼리 구문을 사용하면 특정 결과를 간단히 가져올 수 있습니다.\r\n\r\n- [WHERE](https://docs.snowflake.com/ko/sql-reference/constructs/where.html#where)는 선택 쿼리에 추가할 수 있는 추가 절입니다.\r\n\r\n```\r\nselect * from emp_basic where first_name = 'Ron';\r\n```\r\n\r\n이 쿼리는 `emp_basic` 테이블에서 `first_name`이 ‘Ron’인 직원 목록을 반환합니다.\r\n\r\n![Snowflake_SELECTRon_image](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-snowsql-kr/Snowflake_SELECTRon.png)\r\n\r\n- [LIKE](https://docs.snowflake.com/ko/sql-reference/functions/like.html) 함수는 `%` 및 `_` 와일드카드를 지원합니다.\r\n\r\n```\r\nselect email from emp_basic where email like '%.au';\r\n```\r\n\r\nLIKE 함수는 `au`를 위해 `emp_basic` 테이블에 있는 모든 이메일을 확인하며 레코드를 반환합니다.\r\n\r\n![Snowflake_SELECTEmailAU_image](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-snowsql-kr/Snowflake_SELECTEmailAU.png)\r\n\r\nSnowflake는 다양한 [함수](https://docs.snowflake.com/ko/sql-reference-functions.html), [연산자](https://docs.snowflake.com/ko/sql-reference/operators.html) 및 [명령](https://docs.snowflake.com/ko/sql-reference-commands.html)을 지원합니다. 그러나 보다 구체적인 작업을 수행해야 한다면 [외부 함수](https://docs.snowflake.com/ko/sql-reference/external-functions-introduction.html) 설정을 고려하십시오.\r\n\r\n\u003C!-- ------------------------ --\u003E\r\n## 데이터 관리 및 삭제\r\n\r\n\r\n종종 데이터는 고정적이지 않습니다. 여러분의 클라우드 데이터베이스를 유지하기 위한 몇몇 일반적인 방법을 검토하겠습니다.\r\n\r\nHR에서 또 다른 직원을 고용한 후에 CSV 파일을 업데이트한다면 모든 CSV를 다운로드하고 스테이징하고 복사하는 것은 지루할 것입니다. 대신 단순하게 새로운 직원 정보를 대상 테이블에 삽입합니다.\r\n\r\n#### 데이터 삽입\r\n\r\n[INSERT](https://docs.snowflake.com/ko/sql-reference/sql/insert.html)는 테이블을 추가 값으로 업데이트할 것입니다.\r\n\r\n```\r\ninsert into emp_basic values\r\n  ('Clementine','Adamou','cadamou@sf_tuts.com','10510 Sachs Road','Klenak','2017-9-22') ,\r\n  ('Marlowe','De Anesy','madamouc@sf_tuts.co.uk','36768 Northfield Plaza','Fangshan','2017-1-26');\r\n```\r\n\r\n#### 오브젝트 삭제\r\n\r\n표시된 명령에서 `insert`는 2명의 새로운 직원을 `emp_basic` 테이블에 추가하기 위해 사용됩니다.\r\n\r\n![Snowflake_INSERT_image](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-snowsql-kr/Snowflake_INSERT.png)\r\n\r\n- [DROP](https://docs.snowflake.com/ko/sql-reference/sql/drop.html) 오브젝트는 더 이상 사용되지 않습니다.\r\n\r\n```\r\ndrop database if exists sf_tuts;\r\n\r\ndrop warehouse if exists sf_tuts_wh;\r\n```\r\n\r\n이 자습서에서 기본 사항을 연습한 후에는 `sf-tuts` 데이터베이스와 웨어하우스가 더 이상 필요하지 않습니다. 이를 모두 삭제하려면 `drop` 명령을 사용합니다.\r\n\r\n\u003C!--![Snowflake_DROP_image](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-snowsql-kr/Snowflake_DROP.png)--\u003E\r\n- `!exit` 또는 `!disconnect`로 연결 종료\r\n\r\n보안상의 이유로 여러분의 터미널 연결을 불필요하게 유지하는 않는 것이 좋습니다. SnowSQL 연결을 종료할 준비가 되었다면 단순히 `!exit`를 입력합니다.\r\n\r\n\u003C!-- ------------------------ --\u003E\r\n## 결론\r\n\r\n\r\n### 애플리케이션을 위해 SnowSQL 사용\r\n\r\nSnowflake 계정을 생성했고, 컴퓨팅 리소스로 클라우드 데이터베이스를 설정했고, SnowSQL을 통해 클라우드로 데이터를 마이그레이션했습니다. 잘하셨습니다! 클라우드를 사용하면 많은 이점을 누릴 수 있습니다. 이제 Snowflake를 시작하는 것이 얼마나 쉬운지 알게 되었으니 다음 단계를 고려할 시간입니다.\r\n\r\nSnowSQL을 통한 데이터 로딩에 대해 잘 알고 있으니 이를 사용하여 여러분의 애플리케이션을 실행하십시오. SnowSQL을 통해 [애플리케이션 개발](https://docs.snowflake.com/ko/developer-apps.html)을 계속하여 Python 애플리케이션과 여러분의 데이터를 연결하는 방법을 알아보십시오. 애플리케이션 데이터가 이미 있다면 `emp_basic` 테이블을 완료하기 위해 사용했던 단계를 통해 이를 클라우드로 마이그레이션하는 것을 고려하십시오. Snowflake의 도구 및 설명서는 광범위하며 클라우드 컴퓨팅의 위력을 여러분에게 선사합니다.\r\n\r\n### 다룬 내용\r\n\r\n- SnowSQL 설정\r\n- SnowSQL을 사용하여 데이터 업로드\r\n- SnowSQL을 사용하여 데이터 쿼리\r\n- SnowSQL을 사용하여 데이터 관리 및 삭제","multiValue":false,":type":"text/x-markdown"},"quickstartArticleLogoImage":{"dataType":"string","title":"Quickstart Article Logo Image","multiValue":false,":type":"text/plain"}},"elementsOrder":["quickstartArticleBody","quickstartArticleLogoImage"],":type":"snowflake-site/components/contentfragment","model":"snowflake-site/models/quickstart-article"},"flexible_column_cont":{"id":"flexible-column-container-f27e6f8cbf","type":"2-column-75-25","alignColumns":"top","containerMaxWidth":"extra-large","topPadding":"none","bottomPadding":"none","spaceBetween":"none","reverseOnMobile":false,"carouselOnMobile":false,"backgroundImageOption":"none","flexible_column_content_container_1":{"layout":"SIMPLE","id":"container-697551e995",":items":{"quickstart_last_modi":{"id":"quickstart-last-modified-a29ab45ad3","icon":{"id":"icon","icon":"calendar",":type":"snowflake-site/components/icon","appliedCssClassNames":"snowflake-icon-blue"},"lastModifiedDatePrefix":"Updated","lastModifiedDate":"2024-07-08",":type":"snowflake-site/components/quickstart/quickstart-last-modified","appliedCssClassNames":"snowflake-responsive-component-top-padding-small"},"text":{"id":"text-23502bde48","additionalClasses":"qs-disclaimer-text","text":"\u003Cp\u003E\u003Cspan style=\"color: #666;\"\u003EThis content is provided as is, and is not maintained on an ongoing basis. 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받아보세요.\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-size-regular text-color-text-04"},"marketo_v2":{"id":"marketo-v2-7687aa7837","marketoForm":{"edit":false,"successUrl":null,"formId":"45871","script":null,"values":null,"hidden":null},"munchkinId":"252-RFO-227","serverInstance":"252-RFO-227.mktoweb.com","formConfigured":true,"marketoConfigured":true,":type":"snowflake-site/components/form/marketo-v2"}},":itemsOrder":["text","marketo_v2"],":type":"snowflake-site/components/container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-small"}},":itemsOrder":["container"],":type":"snowflake-site/components/container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-small"},"container":{"columnClassNames":{"text_copy":"aem-GridColumn aem-GridColumn--default--12","text":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 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