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pre[class*=language-]{background-color:rgba(var(--ui-12-rgb),.5);color:var(--text-01);text-shadow:none;padding:var(--spacing-00);border-radius:var(--spacing-00);font-size:smaller}","isGSAPEnabled":false,":type":"snowflake-site/components/markup-editor"},"responsivegrid":{"columnClassNames":{"quickstart_hero":"aem-GridColumn aem-GridColumn--default--12","flexible_column_cont":"aem-GridColumn aem-GridColumn--default--12","markup_editor":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnCount":12,":items":{"quickstart_hero":{"id":"quickstart-hero-27f3139624","isDeveloperGuidesPage":false,"quickstartHeroFirstCertifiedTag":{"tagText":"Quickstart","tagColor":"#29B5E8","tagPath":"/content/cq:tags/snowflake-site/taxonomy/solution-center/certification/quickstart","tagIcon":""},"quickstartHeroTitle":{"lines":["Explore Cross-Cloud Sharing of Data and Applications with Private 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Developers","url":"https://www.snowflake.com/content/snowflake-site/global/en/developers","currentPage":false}],"fragmentPath":"/content/dam/snowflake-site/en/content-fragments/quickstarts/horizon-intra-org-sharing",":type":"snowflake-site/components/quickstart/quickstart-hero"},"flexible_column_cont":{"id":"flexible-column-container-aafb9818fa","propertiesId":"quickstart-template-main-flexible-container","type":"2-column-75-25","alignColumns":"top","containerMaxWidth":"extra-large","topPadding":"none","bottomPadding":"none","spaceBetween":"small","reverseOnMobile":false,"carouselOnMobile":false,"backgroundImageOption":"none","flexible_column_content_container_1":{"layout":"SIMPLE","id":"container-9d3f2c8ea1",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{"contentfragment":{"id":"contentfragment-52cd91f052","paragraphs":["<!-- ------------------------ -->\n","\u003Ch2\u003EOverview\u003C/h2\u003E\n","\u003Cp\u003ESharing information between departments, business units and subsidiaries of a company is critical for success, particularly when there are organizational silos in place. A modern data platform must provide decentralized ownership, universal discovery, access control, federated governance, and observability.\u003C/p\u003E\n","\u003Cp\u003E\u003Cstrong\u003ESnowflake Horizon Catalog\u003C/strong\u003E is a connected catalog for your entire data estate. It allows customers to interoperate more easily across table formats, engines & catalogs. Horizon allows you to manage metadata for all your data & AI assets in one place for easy data discovery and collaboration.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/horizon-catalog.jpg\" alt=\"Snowflake Horizon Diagram\"\u003E\u003C/p\u003E\n","\u003Cp\u003EThis Quickstart is focused on the \u003Ccode\u003EHorizon Collaboration\u003C/code\u003E and \u003Ccode\u003EHorizon Discovery\u003C/code\u003E pillars.\u003C/p\u003E\n","\u003Cp\u003EThe objective of the Collaboration and Discovery pillars are to make it simple to share, discover, understand/build trust and access listings across any boundary, internal or external to the organization, and to make loose objects discoverable across account boundaries within an organization, supported by the tools necessary to ensure policy compliance, security, and data quality.\u003C/p\u003E\n","\u003Cp\u003EIn this lab you will experience the latest Snowflake Horizon Collaboration and Discovery features for sharing data and native apps intra-company: private listings, unified search & discovery, data quality monitoring, role-based governance policies and programmatic management of data products. We will cover structured and unstructured data that is stored on-platform or on external storage.\u003C/p\u003E\n","\u003Ch3\u003EWhat You’ll Learn\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003EHow to blend TastyBytes Point-of-Sale and Marketplace Weather data to build analytics data products, then publish Listings targeted at accounts in your company\u003C/li\u003E\u003Cli\u003EHow to configure data privacy polices that are preserved in the consumer accounts that install the listings. Tag-based column masking, row-access, aggregation and projection policies will be created with database roles.\u003C/li\u003E\u003Cli\u003EHow to setup Data Metrics Functions to monitor data quality of the shared data products\u003C/li\u003E\u003Cli\u003EHow to share Iceberg Tables within a cloud region\u003C/li\u003E\u003Cli\u003EHow to share a native application with Streamlit visualization\u003C/li\u003E\u003Cli\u003EHow to share unstructured text files cross-cloud and process with Cortex LLM functions\u003C/li\u003E\u003C/ul\u003E\n<!--\n- How to use Universal Search and Snowflake Copilot to explore data from all sources\n-->\n","\u003Ch3\u003EWhat You’ll Need\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003EBasic knowledge of SQL, Database Concepts, Snowflake \u003Ca href=\"https://other-docs.snowflake.com/en/collaboration/collaboration-listings-about\"\u003EListings\u003C/a\u003E\u003C/li\u003E\u003Cli\u003EFamiliarity with \u003Ca href=\"https://docs.snowflake.com/en/user-guide/ui-snowsight-worksheets-gs\"\u003ESnowsight Worksheets\u003C/a\u003E\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003EWhat You’ll Build\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003EAnalytics data products for TastyBytes, that models a global food truck network with localized menu options in 15 countries, 30 major cities and 15 core brands\u003C/li\u003E\u003Cli\u003EListings comprised of metadata, data and application code, targeted at accounts in the same organization but in different cloud regions\u003C/li\u003E\u003Cli\u003EGovernance policies based on shared role-based-access-controls that are enforced at the target account consuming the listing\u003C/li\u003E\u003Cli\u003EInstall listings containing Iceberg Tables, then blend with local datasets to derive insights\u003C/li\u003E\u003C/ul\u003E\n<!--\n- Exploration of all shared and local data with Universal Search and Copilot\n-->\n","\u003Ch3\u003EPrerequisites\u003C/h3\u003E\n","\u003Ch4\u003ECreate 3 Snowflake Trial Accounts in the same Snowflake Organization\u003C/h4\u003E\n","\u003Cp\u003ESignup for an AWS trial account \u003Ca href=\"https://signup.snowflake.com/?utm_source=snowflake-devrel&utm_medium=developer-guides&utm_cta=developer-guides\"\u003Ehere\u003C/a\u003E\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003EChoose \u003Cstrong\u003EAWS\u003C/strong\u003E as cloud provider, \u003Cstrong\u003EBusiness Critical\u003C/strong\u003E edition, \u003Cstrong\u003EAWS_US_WEST_2 (Oregon)\u003C/strong\u003E region\u003C/li\u003E\u003Cli\u003EActivate trial account with admin user \u003Ccode\u003Ehorizonadmin\u003C/code\u003E\n\u003Cul\u003E\u003Cli\u003Eadmin user has system roles: ACCOUNTADMIN, ORGADMIN, SYSADMIN\u003C/li\u003E\u003C/ul\u003E\n\u003C/li\u003E\u003Cli\u003ELogin and create a SQL Worksheet named \u003Cem\u003E\u003Cstrong\u003EAccount Setup\u003C/strong\u003E\u003C/em\u003E\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003E<ins>Note:</ins> alternatively you \u003Cem\u003Ecan\u003C/em\u003E use an existing account instead of a trial account, provided that account has the \u003Ccode\u003EORGADMIN\u003C/code\u003E system role enabled.\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003ECreate user \u003Ccode\u003Ehorizonadmin\u003C/code\u003E, grant it ACCOUNTADMIN and ORGADMIN roles.\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003EExecute the following SQL commands in the \u003Cem\u003E\u003Cstrong\u003EAccount Setup\u003C/strong\u003E\u003C/em\u003E worksheet to bootstrap:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003EUSE ROLE accountadmin;\nSET my_user_var = CURRENT_USER();\nALTER USER identifier($my_user_var) SET DEFAULT_ROLE = accountadmin;\nCREATE OR REPLACE WAREHOUSE compute_wh WAREHOUSE_SIZE=small INITIALLY_SUSPENDED=TRUE;\nGRANT ALL ON WAREHOUSE compute_wh TO ROLE public;\nCREATE DATABASE IF NOT EXISTS snowflake_sample_data FROM SHARE sfc_samples.sample_data;\nGRANT IMPORTED PRIVILEGES ON DATABASE snowflake_sample_data TO public;\n\n-- Create an AWS Consumer account\nUSE ROLE orgadmin;\nCREATE ACCOUNT horizon_lab_aws_consumer\n  admin_name = horizonadmin\n  admin_password = 'FILL_IN_PASSWORD'\n  email = 'FILL_IN_EMAIL'\n  must_change_password = false\n  edition = business_critical\n  region = AWS_US_WEST_2;\n \n-- Create an Azure Consumer account\nCREATE ACCOUNT horizon_lab_azure_consumer\n  admin_name = horizonadmin\n  admin_password = 'FILL_IN_PASSWORD'\n  email = 'FILL_IN_EMAIL'\n  must_change_password = false\n  edition = business_critical\n  region = AZURE_WESTEUROPE;\n\n-- Verify that all three accounts are now created. Also, get the URLs\n-- from the column account_url to log in to your consumer accounts later\nSHOW ORGANIZATION ACCOUNTS;\n\n-- Enable the ACCOUNTADMIN role on this account to enable global auto-fulfillment\nUSE ROLE orgadmin;\nSELECT current_account_name();\nSELECT SYSTEM$ENABLE_GLOBAL_DATA_SHARING_FOR_ACCOUNT('!FILL IN CURRENT_ACCOUNT_NAME()!');\n\n-- PLEASE NOTE DOWN: "orgname-accountname" is the account format needed to add a connection to the Snowflake CLI\nSELECT current_organization_name() || '-' || current_account_name();\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003ELogin to the \u003Cstrong\u003EHORIZON_LAB_AWS_CONSUMER\u003C/strong\u003E and \u003Cstrong\u003EHORIZON_LAB_AZURE_CONSUMER\u003C/strong\u003E accounts as \u003Ccode\u003Ehorizonadmin\u003C/code\u003E and run the following in a worksheet in each of the two accounts:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003EUSE ROLE accountadmin;\nSET my_user_var = CURRENT_USER();\nALTER USER identifier($my_user_var) SET DEFAULT_ROLE = accountadmin;\nCREATE OR REPLACE WAREHOUSE compute_wh WAREHOUSE_SIZE=medium INITIALLY_SUSPENDED=TRUE;\nGRANT ALL ON WAREHOUSE compute_wh TO ROLE public;\nCREATE DATABASE IF NOT EXISTS snowflake_sample_data FROM SHARE sfc_samples.sample_data;\nGRANT IMPORTED PRIVILEGES ON DATABASE snowflake_sample_data TO public;\n \nUSE ROLE useradmin;\nCREATE OR REPLACE ROLE sales_emea_role\n      COMMENT = 'EMEA Sales role for Tasty Bytes';\n\nCREATE OR REPLACE ROLE sales_americas_role\n      COMMENT = 'Americas Sales role for Tasty Bytes';\n\nCREATE OR REPLACE ROLE sales_apj_role\n      COMMENT = 'APJ Sales role for Tasty Bytes';\n\nCREATE OR REPLACE ROLE sales_manager_role\n      COMMENT = 'Sales Manager (all-access) role for Tasty Bytes';\n\n-- grant all these roles to the login user\nGRANT ROLE sales_emea_role TO USER identifier($my_user_var);\nGRANT ROLE sales_americas_role TO USER identifier($my_user_var);\nGRANT ROLE sales_apj_role TO USER identifier($my_user_var);\nGRANT ROLE sales_manager_role TO USER identifier($my_user_var);\n\nSHOW ROLES;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Ch4\u003EInstall Snowflake CLI and configure Connections to Snowflake accounts\u003C/h4\u003E\n\u003Cul\u003E\u003Cli\u003E\n","\u003Cp\u003EInstall Python (3.8 or higher): \u003Ccode\u003Epython --version\u003C/code\u003E\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Ca href=\"https://brew.sh/\"\u003EHomebrew\u003C/a\u003E makes it simple to install python\n\u003Cul\u003E\u003Cli\u003E\u003Ccode\u003E% brew install python\u003C/code\u003E\u003C/li\u003E\u003Cli\u003E(optional): \u003Ccode\u003E% sudo ln -s /usr/bin/python3 /usr/local/bin/python\u003C/code\u003E\u003C/li\u003E\u003C/ul\u003E\n\u003C/li\u003E\u003C/ul\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EInstall \u003Ca href=\"https://pipx.pypa.io/stable/installation/\"\u003Epipx\u003C/a\u003E or \u003Ca href=\"https://macpaw.com/how-to/install-pip-mac\"\u003Epip\u003C/a\u003E\n(MacOS)\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Ccode\u003E% brew install pipx\u003C/code\u003E\u003C/li\u003E\u003Cli\u003E\u003Ccode\u003E% pipx ensurepath\u003C/code\u003E\u003C/li\u003E\u003Cli\u003Eexit and open a new Terminal so path takes effect\u003C/li\u003E\u003C/ul\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EInstall \u003Ca href=\"https://docs.snowflake.com/en/developer-guide/snowflake-cli-v2/installation/installation#label-snowcli-install-pipx\"\u003ESnowflake CLI\u003C/a\u003E\u003C/p\u003E\n","\u003Cp\u003ECreate CLI connections to the 3 accounts using \u003Ca href=\"https://docs.snowflake.com/en/developer-guide/snowflake-cli-v2/connecting/specify-credentials#how-to-add-credentials-using-a-sf-cli-connection-command\"\u003Esnow connection add\u003C/a\u003E:\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003Euse connection names: \u003Ccode\u003Ehorizon-aws-provider, horizon-aws-consumer, horizon-azure-consumer\u003C/code\u003E\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003ESnowflake CLI expects the account format \u003Cstrong\u003Eorgname-accountname\u003C/strong\u003E\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Ccode\u003ESELECT current_organization_name() || '-' || current_account_name();\u003C/code\u003E\u003C/li\u003E\u003C/ul\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003Eenter password when prompted, just hit \u003Cem\u003E\u003Cstrong\u003Ereturn\u003C/strong\u003E\u003C/em\u003E for the remaining prompts\u003C/p\u003E\n\u003C/li\u003E\u003C/ul\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-bash\"\u003Esnow connection add -n horizon-aws-provider -a [orgname]-[provider_accountname] -u horizonadmin -r accountadmin -w compute_wh\nsnow connection add -n horizon-aws-consumer -a [orgname]-horizon_lab_aws_consumer -u horizonadmin -r accountadmin -w compute_wh\nsnow connection add -n horizon-azure-consumer -a [orgname]-horizon_lab_azure_consumer -u horizonadmin -r accountadmin -w compute_wh\nsnow connection set-default "horizon-aws-provider"\nsnow connection test --connection horizon-aws-provider\nsnow connection test --connection horizon-aws-consumer\nsnow connection test --connection horizon-azure-consumer\n\n# list all connections and check that default is horizon-aws-provider\nsnow connection list\n\n# you can also manually edit the config.toml file to remove or modify connections\nsnow --info\n\u003C/code\u003E\u003C/pre\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003ECitations and Terms of Use\u003C/h2\u003E\n","\u003Cp\u003ERaw text data provided for this lab is an extract from the \u003Ca href=\"https://ai.stanford.edu/~amaas/data/sentiment/\"\u003EIMDB Large Movie Review Dataset\u003C/a\u003E\u003C/p\u003E\n","\u003Cp\u003EUse of this dataset requires that we cite this ACL 2011 paper by Andrew Maas, et al:\n@InProceedings{maas-EtAl:2011:ACL-HLT2011,\nauthor    = {Maas, Andrew L.  and  Daly, Raymond E.  and  Pham, Peter T.  and  Huang, Dan  and  Ng, Andrew Y.  and  Potts, Christopher},\ntitle     = {Learning Word Vectors for Sentiment Analysis},\nbooktitle = {Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies},\nmonth     = {June},\nyear      = {2011},\naddress   = {Portland, Oregon, USA},\npublisher = {Association for Computational Linguistics},\npages     = {142--150},\nurl       = {\u003Ca href=\"http://www.aclweb.org/anthology/P11-1015}\"\u003Ehttp://www.aclweb.org/anthology/P11-1015}\u003C/a\u003E\n}\u003C/p\u003E\n","\u003Cp\u003E\u003Ca href=\"https://app.snowflake.com/marketplace/listing/GZSOZ1LLEL/weather-source-llc-weather-source-llc-frostbyte\"\u003EWeather Source LLC: frostbyte\u003C/a\u003E Marketplace listing requires accepting terms of use by the Provider and Snowflake.\u003C/p\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003EHorizon AWS Provider Account Setup\u003C/h2\u003E\n","\u003Cp\u003EClone our \u003Ca href=\"https://github.com/Snowflake-Labs/sfguide-horizon-intra-organization-sharing\"\u003EHorizon Quickstart Scripts\u003C/a\u003E repository to your local machine with \u003Ccode\u003Egit\u003C/code\u003E:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-bash\"\u003Emkdir ~/snowflakelabs\ncd ~/snowflakelabs\ngit clone git@github.com:Snowflake-Labs/sfguide-horizon-intra-organization-sharing.git horizon-intra-org-scripts\ncd horizon-intra-org-scripts\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EIf you prefer not to use git, \u003Ccode\u003EDownload ZIP\u003C/code\u003E from the Lab Scripts \u003Ca href=\"https://github.com/Snowflake-Labs/sfguide-horizon-intra-organization-sharing\"\u003Egithub site\u003C/a\u003E\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/code-download.jpg\" alt=\"assets/code-download.jpg\"\u003E\u003C/p\u003E\n","\u003Cp\u003ELoad the SQL scripts in the \u003Ccode\u003Ecode/sql\u003C/code\u003E directory into \u003Ca href=\"https://docs.snowflake.com/en/user-guide/ui-snowsight-worksheets-gs#create-worksheets-in-sf-web-interface\"\u003ESnowsight Worksheets\u003C/a\u003E - one script per worksheet\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/002_load_SQL_scripts_to_worksheets.png\" alt=\"Create Worksheet\"\u003E\u003C/p\u003E\n","\u003Ch3\u003EExecute Setup SQL Scripts\u003C/h3\u003E\n\u003Col\u003E\u003Cli\u003E\u003Ccode\u003E100_Setup_Data_Model\u003C/code\u003E: create the TastyBytes foundational data model.\n\u003Ca href=\"/en/developers/guides/tasty-bytes-introduction/\"\u003ETastyBytes\u003C/a\u003E is a fictitious global food truck network that operates in 30 major cities located in 15 countries with localized menu options and brands. The single \u003Ccode\u003EFrostbytes_Tasty_Bytes\u003C/code\u003E is organized in the following schemas:\u003C/li\u003E\u003C/ol\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Ccode\u003ERAW_CUSTOMER\u003C/code\u003E: raw customer loyalty data with personally identifiable information (PII)\u003C/li\u003E\u003Cli\u003E\u003Ccode\u003ERAW_POS\u003C/code\u003E: raw point-of-sale data denormalized by orders, menu, franchise and country\u003C/li\u003E\u003Cli\u003E\u003Ccode\u003EHARMONIZED\u003C/code\u003E: blended metrics for customers and orders\u003C/li\u003E\u003Cli\u003E\u003Ccode\u003EANALYTICS\u003C/code\u003E: analytic data that delivers insights for aggregate trends and drill down\nb\nUse the \u003Cstrong\u003ERun All\u003C/strong\u003E pulldown command to run \u003Ccode\u003E100_Setup_Data_Model\u003C/code\u003E:\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/003_Run_All.png\" alt=\"Run All in Worksheet\"\u003E\u003C/p\u003E\n\u003Col start=\"2\"\u003E\u003Cli\u003E\u003Ccode\u003E200_Setup_Data_Products\u003C/code\u003E: build data assets to share in a Listing.\u003C/li\u003E\u003C/ol\u003E\n","\u003Cp\u003EIn step 1(a) of thescript \u003Ccode\u003E200_Setup_Data_Products\u003C/code\u003E you will acquire the \u003Cstrong\u003EWeather Source LLC\u003C/strong\u003E listing from the Marketplace and install it as a shared database \u003Ccode\u003EFROSTBYTE_WEATHERSOURCE\u003C/code\u003E.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003E-- Step 1(a) - Acquire "Weather Source LLC: frostbyte" Snowflake Marketplace Listing\n\n/*--- \n    1. Click -> Data Products (Cloud Icon in left sidebar)\n    2. Click -> Marketplace\n    3. Search -> frostbyte\n    4. Click -> Weather Source LLC: frostbyte\n    5. Click -> Get\n    6. Click -> Options\n    6. Database Name -> FROSTBYTE_WEATHERSOURCE (all capital letters)\n    7. "Which roles, in addition to ACCOUNTADMIN, can access this database?" -> PUBLIC\n    8. Click -> Get\n---*/\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/006_WeatherSource.png\" alt=\"006_WeatherSource\"\u003E\u003C/p\u003E\n","\u003Cp\u003EThen proceed to execute all remaining steps in this script. This will create secure views, materialized views, functions and dynamic tables in the ANALYTICS schema, and an internal stage for sharing text data.\u003C/p\u003E\n","\u003Cp\u003ECheck out all the new objects created in the ANALYTICS and HARMONIZED schemas in the Snowsight Object Explorer panel. You will later create a Listing to share all of these objects.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/004_Database_Explorer.png\" alt=\"Database-Explorer\"\u003E\u003C/p\u003E\n","\u003Ch3\u003EUpload Unstructured Data into an Internal Stage\u003C/h3\u003E\n","\u003Cp\u003EWe have extracted 100 text files from the IMDB Large Movie Review dataset into the repo, that was cloned to your local machine earlier.\u003C/p\u003E\n","\u003Cp\u003ENow we can copy those text files into the internal stage \u003Ccode\u003Emovie_stage\u003C/code\u003E that was created by the SQL setup scripts.\nRun the snow CLI commands at the root of your repo, where the \u003Ccode\u003Egit clone\u003C/code\u003E was done.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-bash\"\u003Ecd ~/git_repos/sfguide-horizon-intra-org\nsnow stage copy data/imdb_reviews @frostbyte_tasty_bytes.movie_reviews.movie_stage\n\n# verify that there are now 100 files in the stage\nsnow stage list-files @frostbyte_tasty_bytes.movie_reviews.movie_stage\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003ESetup is now complete!\u003C/p\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003EPublish a Data Listing\u003C/h2\u003E\n","\u003Cp\u003EIn this section you will create, publish, consume, alter, and monitor a \u003Ca href=\"https://other-docs.snowflake.com/en/collaboration/collaboration-listings-about\"\u003Elisting\u003C/a\u003E.\u003C/p\u003E\n","\u003Ch3\u003EBuild and Publish a Listing in the Provider Studio UI\u003C/h3\u003E\n\u003Col\u003E\u003Cli\u003E\n","\u003Cp\u003ENavigate to the Provider Studio and click the +Listing button in the top right:\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/101_ProviderStudio+Listing.png\" alt=\"ProviderStudio\"\u003E\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EGive your listing a meaningful title. Let's use TASTY_BYTES_ANALYTICS in this lab. Then select the option that "Only Specified Consumers" can discover the listing, and click "Next".\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/102_CreateListing.png\" alt=\"102_CreateListing\"\u003E\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EClick "+ Select" and add the secure functions, the dynamic table, and all the secure views in the ANALYTICS and HARMONIZED schemas to this listing.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/103_CreateListing_SelectObjects.png\" alt=\"103_CreateListing_SelectObjects\"\u003E\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EContinue the listing specification:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003E\n","\u003Cp\u003EAdd a description to document your listing.\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003EFor example: "This listing shares the Tasty Bytes Analytics and Harmonized data objects, including views, functions, and a dynamic table that provide a wealth of useful information."\u003C/li\u003E\u003C/ul\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EAdd your two secondary accounts for this lab (one on AWS and one on Azure) as consumer accounts for this listing. Specify each consumer account as \u003Ccode\u003Eorg-name.account-name\u003C/code\u003E, which you can obtain as follows:\u003C/p\u003E\n\u003C/li\u003E\u003C/ul\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003Eselect current_organization_name() ||'.'||  current_account_name();\n\u003C/code\u003E\u003C/pre\u003E\n\u003Cul\u003E\u003Cli\u003EFurther down in the same dialog, enter your email address to receive notifications about this listing.\u003C/li\u003E\u003Cli\u003EClick "SAVE & ADD MORE INFORMATION" to add even more metdata to your listing.\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/104_CreateListing_AddConsumers.png\" alt=\"104_CreateListing_AddConsumers\"\u003E\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EYou are now looking at your draft listing. Scroll down and add all optional information items to your listing.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/105_CreateListing_OptionalInformation.png\" alt=\"105_CreateListing_OptionalInformation\"\u003E\u003C/p\u003E\n","\u003Cp\u003EThis will add additional sections to your listing.\u003C/p\u003E\n","\u003Cp\u003EClick the ADD button in each of these sections to configure the data dictionary and to add business needs, sample queries, and attributes:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003EConfiguring the data dictionary allows you to select "featured" objects that consumers will see first in the dictionary.\u003C/li\u003E\u003Cli\u003ESelect the views CUSTOMER_LOYALTY_METRICS_V and ORDERS_BY_POSTAL_CODE_V as well as the function FAHRENHEIT_TO_CELSIUS as featured objects.\u003C/li\u003E\u003Cli\u003EYou can grab some sample queries from the script 1000_Consumer_Queries.sql\u003C/li\u003E\u003Cli\u003EAttributes allow you to specify service level objectives such as how often you intend to update the data product or other properties.\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/106_CreateListing_OptionalInfo_Part2.png\" alt=\"106_CreateListing_OptionalInfo_Part2\"\u003E\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EIn your draft listing, navigate to the section "Consumer Accounts". Click the three dots on the right to update the refresh frequency of the replica that Snowflake will automatiucally create to share the data product with your Azure account.\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003EFor the purpose of this lab, set the replication frequency to 1 minute.\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/107_CreateListing_ReplicationFrequency.png\" alt=\"107_CreateListing_ReplicationFrequency\"\u003E\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EPublish your listing.\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003EYou can preview your draft listing at any time.\u003C/li\u003E\u003Cli\u003EWhen done, click the blue "Publish Listing" button in the top right corner.\u003C/li\u003E\u003C/ul\u003E\n\u003C/li\u003E\u003C/ol\u003E\n","\u003Ch3\u003EInstall the Listing in your Consumer Accounts\u003C/h3\u003E\n\u003Col\u003E\u003Cli\u003E\n","\u003Cp\u003ESwitch to Consumer Account: Horizon_Lab_Azure_Consumer\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003EIn a different tab of your web browser login to your account "horizon_lab_azure_consumer" that you created in the Azure West Europe Region.\u003C/li\u003E\u003Cli\u003EUse the menu in the bottom left of the UI to switch to the ACCOUNTADMIN role.\u003C/li\u003E\u003Cli\u003ENavigate to "Data Products" and then "Private Sharing" in the left hand menu panel.\u003C/li\u003E\u003Cli\u003EYou will now see the listing that has been shared with this account.\u003C/li\u003E\u003Cli\u003EClick the listing name (not the Get button) to open and examine the listing details. For example, explore the data dictionary for the views and functions.\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/201_Consumer_DiscoverListing.png\" alt=\"201_Consumer_DiscoverListing\"\u003E\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EAfter reviewing the listing, click the GET button.\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003EYou may be asked for your name & email address if this is the first time a listing is being consumed in this Snowflake  account. Do provide this information, then go to your Email Inbox and validate the email that was sent.\u003C/li\u003E\u003Cli\u003EAfter you click the GET button Snowflake performs a one-time setup of the replication process (\u003Ca href=\"https://other-docs.snowflake.com/en/collaboration/provider-listings-auto-fulfillment\"\u003Eauto-fulfillment\u003C/a\u003E) to the local region.\u003C/li\u003E\u003Cli\u003EYou may have to wait for several minutes for this one-time setup to complete. Click OK. We will check back later.\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/202_Consumer_WaitForReplica.png\" alt=\"202_Consumer_WaitForReplica\"\u003E\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003ESwitch to Consumer Account: Horizon_Lab_AWS_Consumer\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003EIn yet another tab of your web browser login to your account "horizon_lab_aws_consumer".\u003C/li\u003E\u003Cli\u003EUse the menu in the bottom left to switch to the ACCOUNTADMIN role.\u003C/li\u003E\u003Cli\u003ENavigate to "Data Products" and then "Private Sharing".\u003C/li\u003E\u003Cli\u003EClick the listing name (not the Get button) to open and examine the listing details.\u003C/li\u003E\u003C/ul\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EAfter reviewing the listing, click the GET button.\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003EAgain, you may be asked to provide and validate your email address.\u003C/li\u003E\u003Cli\u003EAfter you click the GET button you can immediately mount the shared data product. There is no replication setup in this case since the provider account is in the same cloud region as this consumer account.\u003C/li\u003E\u003Cli\u003EUnder "Options" leave the local database name as is (it should be TASTY_BYTES_ANALYTICS), and select SALES_MANAGER_ROLE as an additional role to have immediate access to the data product.\u003C/li\u003E\u003Cli\u003EClick GET to confirm\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/203_Consumer_GET.png\" alt=\"203_Consumer_GET\"\u003E\u003C/p\u003E\n","\u003Cp\u003EYou can now use a worksheet or the database explorer to examine the shared data as a consumer.\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EObserve live data sharing in action\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003ESwitch to the \u003Cstrong\u003EAWS Provider\u003C/strong\u003E account where you published the listing\u003C/li\u003E\u003Cli\u003EInsert or update some of the source data. You can use the following statement which uses \u003Ca href=\"https://docs.snowflake.com/en/sql-reference/sql/select#label-select-cmd-examples-select-all-in-table-replace\"\u003Ea very cool SQL feature\u003C/a\u003E to modify the columns produced by \u003Ccode\u003ESELECT *\u003C/code\u003E.\n\u003Cul\u003E\u003Cli\u003EThe syntax \u003Ccode\u003ESELECT * REPLACE (<expression> AS <column_name>)\u003C/code\u003E returns all columns but replaces the column \u003Ccode\u003E<column_name>\u003C/code\u003E with the \u003Ccode\u003E<expression>\u003C/code\u003E.\u003C/li\u003E\u003C/ul\u003E\n\u003C/li\u003E\u003C/ul\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003E-- re-insert existing data for Berlin but give it today's date as the valid date \nINSERT INTO FROSTBYTE_TASTY_BYTES.WEATHER.HISTORY_DAY\n  SELECT * REPLACE  (current_date AS DATE_VALID_STD) \n  FROM FROSTBYTE_TASTY_BYTES.WEATHER.HISTORY_DAY\n  WHERE city_name = 'Berlin'\n  ORDER BY date_valid_std DESC;\n\u003C/code\u003E\u003C/pre\u003E\n\u003Cul\u003E\u003Cli\u003ESwitch back to your \u003Cstrong\u003EHorizon_Lab_AWS_Consumer\u003C/strong\u003E account to see that the data changes are instantly visible. For example:\u003C/li\u003E\u003C/ul\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003ESELECT *\nFROM tasty_bytes_analytics.HARMONIZED.DAILY_WEATHER_V\nWHERE city_name = 'Berlin'\nORDER BY date_valid_std DESC;\n\u003C/code\u003E\u003C/pre\u003E\n\u003C/li\u003E\u003C/ol\u003E\n","\u003Ch2\u003EListing Management and Monitoring\u003C/h2\u003E\n","\u003Ch3\u003EUse the Listing API to modify listing properties programmatically\u003C/h3\u003E\n\u003Col\u003E\u003Cli\u003E\n","\u003Cp\u003E\u003Ca href=\"https://other-docs.snowflake.com/en/sql-reference/sql/show-listings\"\u003ESHOW LISTINGS\u003C/a\u003E in the AWS Provider account where you published the listing.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/301_Provider_API_Show.png\" alt=\"301_Provider_API_Show\"\u003E\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003ECopy the Snowflake object name of your listing and use it in the subsequent \u003Ca href=\"https://other-docs.snowflake.com/en/sql-reference/sql/desc-listing\"\u003EDESCRIBE LISTING\u003C/a\u003E command.\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003ENote: If that listing name contains special characters other than the underscore, then the name must be in double quotes and is case-sensitive.\u003C/li\u003E\u003C/ul\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EIn the result of DESCRIBE LISTING, scroll to the right to the column \u003Ca href=\"https://other-docs.snowflake.com/en/progaccess/listing-manifest-reference\"\u003EMANIFEST_YAML\u003C/a\u003E and copy its column value. This YAML file is a complete representation of the listing and enables programmatic management of listings.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/302_Provider_API_Describe.png\" alt=\"302_Provider_API_Describe\"\u003E\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EPaste the copied YAML into an \u003Ca href=\"https://other-docs.snowflake.com/en/sql-reference/sql/alter-listing\"\u003EALTER LISTING\u003C/a\u003E statement using the listing name obtained in step 2 above (Show Listing).\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003EMake some changes in the YAML that you can easily verify in the UI and on the consumer side. For example, update the title and the first line of the description.\u003C/li\u003E\u003Cli\u003EExecute the ALTER LISTING statement.\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/303_Provider_API_AlterListing.png\" alt=\"303_Provider_API_AlterListing\"\u003E\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EVerify the immediate effect of the ALTER LISTING statement\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003EIn the provider account, navigate to the Provider Studio, select "Listings" from the horizontal menu at the top, and open your listing.\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/304_Provider_Studio.png\" alt=\"304_Provider_Studio\"\u003E\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003ESwitch to your consumer account Horizon_Lab_AWS_Consumer.\u003C/li\u003E\u003Cli\u003ENavigate to "Data Products", then "Private Sharing", and open the listing page again. Refresh if needed to see the changes from the ALTER LISTING statement.\u003C/li\u003E\u003C/ul\u003E\n\u003C/li\u003E\u003C/ol\u003E\n","\u003Ch3\u003EMonitor Auto Fulfillment status and cost\u003C/h3\u003E\n","\u003Cp\u003ETime to revisit the second consumer account ("horizon_lab_azure_consumer") and the replication into that Azure region. By now, the one-time replication setup has been completed in the background and the data product is now ready to use.\u003C/p\u003E\n\u003Col\u003E\u003Cli\u003E\n","\u003Cp\u003ESwitch to the account "horizon_lab_azure_consumer" as ACCOUNTADMIN, and navigate to "Private Sharing" to open the listing that has been shared.\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EClick the GET button to mount the data product locally, as you did in the "horizon_lab_aws_consumer" account.\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003ESwitch to the AWS Provider account and take the following steps to monitor replication status and cost.\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003ENavigate to the "Provider Studio", select "Listings" from the horizontal menu at the top, and open your listing.\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EOn the listings page, scoll down to "Consumer Account", click on the 3 dots, and select "Manage Regions & Replication"\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003ESelect the "Azure West Europe Region" to see the timestamp of the latest refresh to that region.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/400_MonitorReplicationStatus.png\" alt=\"400_MonitorReplicationStatus\"\u003E\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EGo back to the Provider Studio, select "Analytics" from the horizontal menu at the top. This is where summarized and detailed statistics about the usage of the listings will be displayed eventually. There is some delay in populating these statistics, but the following screenshots give you an idea of what you will see.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/401_Provider_Dashboard.png\" alt=\"401_Provider_Dashboard\"\u003E\u003C/p\u003E\n","\u003Cp\u003EThe same information as well as replication details can also be obtained from various views in the schema \u003Ca href=\"https://docs.snowflake.com/en/sql-reference/data-sharing-usage\"\u003ESNOWFLAKE.DATA_SHARING_USAGE\u003C/a\u003E and \u003Ca href=\"https://docs.snowflake.com/en/sql-reference/organization-usage\"\u003ESNOWFLAKE.ORGANIZATION_USAGE\u003C/a\u003E:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003Euse database SNOWFLAKE;\n\nselect * from DATA_SHARING_USAGE.LISTING_ACCESS_HISTORY;\n\nselect * from DATA_SHARING_USAGE.LISTING_AUTO_FULFILLMENT_DATABASE_STORAGE_DAILY;\n\nselect * from DATA_SHARING_USAGE.LISTING_AUTO_FULFILLMENT_REFRESH_DAILY;\n\nselect * from DATA_SHARING_USAGE.LISTING_EVENTS_DAILY;\n\nselect * from DATA_SHARING_USAGE.LISTING_TELEMETRY_DAILY;\n\nselect * from ORGANIZATION_USAGE.LISTING_AUTO_FULFILLMENT_USAGE_HISTORY;\n\nselect * from ORGANIZATION_USAGE.REPLICATION_USAGE_HISTORY;\n\u003C/code\u003E\u003C/pre\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EThe \u003Ca href=\"https://other-docs.snowflake.com/en/collaboration/provider-understand-cost-auto-fulfillment\"\u003Ereplication cost\u003C/a\u003E can also be monitored in the UI. Navigate to the "Admin" menu in the left-hand panel, then to "Cost Management" and "Consumption". Switch the filter from "All Services" to "Cross-Cloud Auto-Fulfillment". Here is an example from a different test replicating a listing to the region Azure UK South:\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/402_Provider_LAF_Cost_Compute.png\" alt=\"402_Provider_LAF_Cost_Compute\"\u003E\u003C/p\u003E\n","\u003Cp\u003EAdditional filters enable you to select a time period, pick a specific target region, or toggle between compute cost, storage cost, and data transfer volume incurred by the listing auto-fulfillment.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/403_Provider_LAF_DataTransfer.png\" alt=\"403_Provider_LAF_DataTransfer\"\u003E\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/404_Provider_LAF_DataTransfer_Details.png\" alt=\"404_Provider_LAF_DataTransfer_Details\"\u003E\u003C/p\u003E\n\u003C/li\u003E\u003C/ol\u003E\n","\u003Ch3\u003EEnable and Consume Change Tracking\u003C/h3\u003E\n","\u003Cp\u003EThe provider of a listing can choose to enable \u003Ca href=\"https://docs.snowflake.com/en/user-guide/streams\"\u003Echange tracking\u003C/a\u003E on the some or all of the tables or views that are shared in a listing. This enables the consumer to track the data changes. Let's do that with the view DAILY_WEATHER_V:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003E-- in the provider account:\nALTER VIEW FROSTBYTE_TASTY_BYTES.HARMONIZED.DAILY_WEATHER_V \n      SET CHANGE_TRACKING = TRUE;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EThe consumer can now \u003Ca href=\"https://docs.snowflake.com/en/sql-reference/sql/create-stream\"\u003Edefine a Stream\u003C/a\u003E to capture the data changes in this view:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003E-- in the consumer account:\nCREATE DATABASE tasty_bytes_local;\nUSE DATABASE tasty_bytes_local;\n\nCREATE STREAM stream_daily_weather_changes ON VIEW tasty_bytes_analytics.HARMONIZED.DAILY_WEATHER_V;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003ETo see the change tracking in action you can now insert, update, or delete some of the weather related data in the AWS Provider account. For example:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003E-- in the provider account:\nINSERT INTO FROSTBYTE_TASTY_BYTES.WEATHER.HISTORY_DAY\n  SELECT * REPLACE  (current_date AS DATE_VALID_STD) \n  FROM FROSTBYTE_TASTY_BYTES.WEATHER.HISTORY_DAY\n  WHERE city_name = 'San Mateo'\n  ORDER BY date_valid_std DESC;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003ENow switch to the consumer account and query the stream:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003E-- in the consumer account:\nUSE DATABASE tasty_bytes_local;\n\nSELECT METADATA$ACTION, METADATA$ISUPDATE, * \nFROM stream_daily_weather_changes;\n\u003C/code\u003E\u003C/pre\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003EProtect Data with Governance Policies\u003C/h2\u003E\n","\u003Cp\u003EThis section of the lab introduces several capabilities for data providers to restrict the usage of their products by consumers.\u003C/p\u003E\n","\u003Ch3\u003ECross-Account Row-Level Access Policies\u003C/h3\u003E\n","\u003Cp\u003EFrosty the data steward is concerned that our listing that we have shared includes the view ANALYTICS.CUSTOMER_LOYALTY_METRICS_V which contains sensitive information that must not be accessible to all data consumers. He requests the following restrictions:\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/500_DataSteward_1.png\" alt=\"500_DataSteward_1\"\u003E\u003C/p\u003E\n","\u003Cp\u003ELet's implement a \u003Ca href=\"https://docs.snowflake.com/en/user-guide/security-row-intro\"\u003Erow-level access policy\u003C/a\u003E to implement the required access control. Note the usage of the context function \u003Cstrong\u003Ecurrent_account_name()\u003C/strong\u003E to detect which consumer account is accessing the shared view.\u003C/p\u003E\n","\u003Cp\u003E\u003Cstrong\u003EFill in AWS Provider Account Name below\u003C/strong\u003E\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003Euse database frostbyte_tasty_bytes;\nuse schema analytics;\n\nCREATE OR REPLACE ROW ACCESS POLICY country_filter AS (country string) \nRETURNS boolean ->\n  CASE\n    WHEN current_account_name() IN ('HORIZON_LAB_AWS_CONSUMER') \n      AND country               IN ('United States', 'Canada') \n      THEN true\n    WHEN current_account_name() IN ('HORIZON_LAB_AZURE_CONSUMER')        \n      AND country               IN ('France', 'Germany', 'Poland', 'Sweden', 'Spain') \n      THEN true\n    WHEN current_account_name() IN ('*** FILL IN AWS Provider Account Name ***')\n      THEN true\n      ELSE false\n  END;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EThen apply the policy to the shared view:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003EALTER VIEW CUSTOMER_LOYALTY_METRICS_V ADD ROW ACCESS POLICY country_filter ON (country);\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003ENow switch to the consumer account HORIZON_LAB_AWS_CONSUMER to confirm that only US and Canadian client data is visible in the view ANALYTICS.CUSTOMER_LOYALTY_METRICS_V.\u003C/p\u003E\n","\u003Cp\u003EAfter the replication interval of 1 minute you will also see that the consumer account HORIZON_LAB_AZURE_CONSUMER can only see the Eurpean clients.\u003C/p\u003E\n","\u003Ch3\u003ECross-Account Column Masking\u003C/h3\u003E\n","\u003Cp\u003EBut, Frosty the data steward is not yet satisfied:\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/501_DataSteward_2.png\" alt=\"501_DataSteward_2\"\u003E\u003C/p\u003E\n","\u003Cp\u003EOk, let's get to work.\u003C/p\u003E\n","\u003Cp\u003ETo make things easy, let's first create a tag that you can use to indicate which columns contain PII data.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003ECREATE SCHEMA IF NOT EXISTS tags;\n\nCREATE OR REPLACE TAG tags.tasty_pii\n    ALLOWED_VALUES 'NAME', 'PHONE_NUMBER', 'EMAIL', 'BIRTHDAY'\n    COMMENT = 'Tag for PII, allowed values are: NAME, PHONE_NUMBER, EMAIL, BIRTHDAY';\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EWith the tag created, let's assign it to the relevant columns in the Customer Loyalty view:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003EALTER VIEW ANALYTICS.CUSTOMER_LOYALTY_METRICS_V\n    MODIFY COLUMN \n    first_name    SET TAG tags.tasty_pii = 'NAME',\n    last_name     SET TAG tags.tasty_pii = 'NAME',\n    phone_number  SET TAG tags.tasty_pii = 'PHONE_NUMBER',\n    e_mail        SET TAG tags.tasty_pii = 'EMAIL';\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EOptionally, you can also use the UI to add or see the tags on these columns:\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/502_AddTags.png\" alt=\"502_AddTags\"\u003E\u003C/p\u003E\n","\u003Cp\u003ENow let's create a slightly more advanced \u003Ca href=\"https://docs.snowflake.com/en/user-guide/tag-based-masking-policies\"\u003Epolicy to mask the PII columns depending on their tag\u003C/a\u003E value and the consmer account:\u003C/p\u003E\n","\u003Cp\u003E\u003Cstrong\u003EFill in AWS Provider Account Name below\u003C/strong\u003E\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003ECREATE OR REPLACE MASKING POLICY pii_string_mask AS (value STRING) RETURNS STRING ->\n  CASE\n    -- two roles in the provider account have access to unmasked values \n    WHEN CURRENT_ACCOUNT_NAME() IN ('*** FILL IN AWS Provider Account Name ***') \n    AND CURRENT_ROLE()          IN ('ACCOUNTADMIN','SYSADMIN')\n    THEN value\n\n    -- For consumers in the 2nd AWS account: if a column is tagged with \n    -- TASTY_PII=PHONE_NUMBER then mask everything except the first 3 digits   \n    WHEN CURRENT_ACCOUNT_NAME() IN ('HORIZON_LAB_AWS_CONSUMER') \n    AND SYSTEM$GET_TAG_ON_CURRENT_COLUMN('TAGS.TASTY_PII') = 'PHONE_NUMBER'\n    THEN CONCAT(LEFT(value,3), '-***-****')\n        \n    -- For consumers in the Azure account: if a column is tagged with  \n    -- TASTY_PII=EMAIL then mask everything before the @ sign  \n    WHEN CURRENT_ACCOUNT_NAME() IN ('HORIZON_LAB_AZURE_CONSUMER') \n    AND SYSTEM$GET_TAG_ON_CURRENT_COLUMN('TAGS.TASTY_PII') = 'EMAIL'\n    THEN CONCAT('**~MASKED~**','@', SPLIT_PART(value, '@', -1))\n        \n    -- all other cases and columns, such as first and last name, should be fully masked   \n    ELSE '**~MASKED~**' \n  END;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003ENext, apply the policy to the tag so that the policy takes effect on all tages columns:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003EALTER TAG tags.tasty_pii SET MASKING POLICY pii_string_mask;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003ENow switch to the consumer account HORIZON_LAB_AWS_CONSUMER and look at the view CUSTOMER_LOYALTY_METRICS_V to confirm that phone numbers are partially masked while the other PII columns are fully masked.\u003C/p\u003E\n","\u003Cp\u003EAfter the replication interval of 1 minute you will see in the account HORIZON_LAB_AZURE_CONSUMER that emails are partially masked while phone numbers and names are fully masked.\u003C/p\u003E\n","\u003Ch3\u003EDatabase Roles - Provider Side\u003C/h3\u003E\n","\u003Cp\u003EJust when we thought we had all the necessary governance controls in place, Frosty has a new requirement for us.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/503_DataSteward_3.png\" alt=\"503_DataSteward_3\"\u003E\u003C/p\u003E\n","\u003Cp\u003ESo far we have been using the context function \u003Cstrong\u003ECURRENT_ACCOUNT_NAME()\u003C/strong\u003E in our governance policies to control which consumer account can see which data. Now Frosty is telling us, that this needs to be more fine-grained down to indivudal roles on the consumer side.\u003C/p\u003E\n","\u003Cp\u003EWe will be using roles and \u003Ca href=\"https://docs.snowflake.com/en/sql-reference/sql/create-database-role\"\u003Edatabase roles\u003C/a\u003E for 3 different continents. Let's check that we have the correct roles in place.\u003C/p\u003E\n","\u003Cp\u003EOn the AWS Provider account, use \u003Cstrong\u003Eshow database roles\u003C/strong\u003E to confirm that you have 4 database roles in place. Else create them now.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003Eshow database roles in database FROSTBYTE_TASTY_BYTES;\n\nUSE DATABASE frostbyte_tasty_bytes;\nCREATE OR REPLACE DATABASE ROLE tastybytes_emea_role;\nCREATE OR REPLACE DATABASE ROLE tastybytes_americas_role;\nCREATE OR REPLACE DATABASE ROLE tastybytes_apj_role;\nCREATE OR REPLACE DATABASE ROLE tastybytes_manager_role;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EWe can use these roles to define more granular and role-based access control for the data consumers. First, we need to give these roles access to the providers's schema and objects that we want to govern, in this case ANALYTICS.CUSTOMER_LOYALTY_METRICS_V:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003Euse database FROSTBYTE_TASTY_BYTES;\n\ngrant usage  on schema ANALYTICS to database role tastybytes_emea_role;\ngrant usage  on schema ANALYTICS to database role tastybytes_americas_role;\ngrant usage  on schema ANALYTICS to database role tastybytes_apj_role;\ngrant usage  on schema ANALYTICS to database role tastybytes_manager_role;\n\ngrant select on view ANALYTICS.CUSTOMER_LOYALTY_METRICS_V \n             to database role tastybytes_emea_role; \ngrant select on view  ANALYTICS.CUSTOMER_LOYALTY_METRICS_V \n             to database role tastybytes_americas_role; \ngrant select on view  ANALYTICS.CUSTOMER_LOYALTY_METRICS_V \n             to database role tastybytes_apj_role; \ngrant select on view  ANALYTICS.CUSTOMER_LOYALTY_METRICS_V \n             to database role tastybytes_manager_role; \n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003ENext, use the context function \u003Ca href=\"https://docs.snowflake.com/en/sql-reference/functions/is_database_role_in_session\"\u003E\u003Cstrong\u003EIS_DATABASE_ROLE_IN_SESSION()\u003C/strong\u003E\u003C/a\u003E to recreate our row-level access policy to define which role can see customer loyality data from which country.\u003C/p\u003E\n","\u003Cp\u003E\u003Cstrong\u003EFill in Provider Account Name in the last WHEN clause of the policy below\u003C/strong\u003E\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003Euse database frostbyte_tasty_bytes;\nuse schema analytics;\n\nALTER VIEW CUSTOMER_LOYALTY_METRICS_V DROP ROW ACCESS POLICY country_filter;\n\n-- Fill in Provider Account Name below\n\nCREATE OR REPLACE ROW ACCESS POLICY country_filter AS (country string) \nRETURNS boolean ->\n  CASE\n    -- users with the AMERICAS role can see data from the US, Canada, and Brazil\n    WHEN IS_DATABASE_ROLE_IN_SESSION('TASTYBYTES_AMERICAS_ROLE') \n     AND country IN ('United States', 'Canada', 'Brazil') \n    THEN true\n    -- users with the EMEA role can see data from these EMEA countries\n    WHEN IS_DATABASE_ROLE_IN_SESSION('TASTYBYTES_EMEA_ROLE')         \n     AND country IN ('France', 'Germany', 'Poland', 'Sweden', \n                     'Spain' , 'South Africa', 'Egypt') \n    THEN true\n    -- users with the APJ role can see data from these APJ countries\n    WHEN IS_DATABASE_ROLE_IN_SESSION('TASTYBYTES_APJ_ROLE')         \n     AND country IN ('Japan', 'Australia', 'India', 'South Korea') \n    THEN true\n    -- users with the manager role can see all data\n    WHEN IS_DATABASE_ROLE_IN_SESSION('TASTYBYTES_MANAGER_ROLE')         \n    THEN true\n    -- the account admin in the provider account can see all data\n    WHEN current_account_name() IN ('*** FILL IN AWS Provider Account Name ***') \n     AND current_role() = 'ACCOUNTADMIN'\n    THEN true\n    ELSE false\n  END;\n\nALTER VIEW CUSTOMER_LOYALTY_METRICS_V \n      ADD ROW ACCESS POLICY country_filter ON (country);\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EFor a larger number of roles and countries you can certainly use a mapping table from role to country so that the policy simply performs a lookup in the mapping table.\u003C/p\u003E\n","\u003Cp\u003EThe final step in the provider account is to share the database roles to the consumer accounts along with the data product.  This is achieved by \u003Ca href=\"https://docs.snowflake.com/en/sql-reference/sql/grant-database-role-share\"\u003Egranting the database roles to the share\u003C/a\u003E:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003E-- Use your share name in these commands.\n-- See below for hints on how to find your share name.\nGRANT DATABASE ROLE tastybytes_emea_role     TO SHARE <share_name>;\nGRANT DATABASE ROLE tastybytes_americas_role TO SHARE <share_name>;\nGRANT DATABASE ROLE tastybytes_apj_role      TO SHARE <share_name>;\nGRANT DATABASE ROLE tastybytes_manager_role  TO SHARE <share_name>;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EHere are two options how to find the share name for your listing:\u003C/p\u003E\n","\u003Cp\u003E\u003Cstrong\u003EOption 1:\u003C/strong\u003E\u003C/p\u003E\n","\u003Cp\u003EIn the provider account, navigate to the Provider Studio, select "Listings" from the horizontal menu at the top, and open your listing. In the section "Data Product" you find the name of the Secure Share that bundles the shared data objects.\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/602_DMF_AddTableToShare_1.png\" alt=\"602_DMF_AddTableToShare_1\"\u003E\u003C/p\u003E\n","\u003Cp\u003E\u003Cstrong\u003EOption 2:\u003C/strong\u003E\u003C/p\u003E\n","\u003Cp\u003EUse the SHOW SHARES command:\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/504_ShowShares.png\" alt=\"504_ShowShares\"\u003E\u003C/p\u003E\n","\u003Cp\u003ECopy the share name to a text file or worksheet because you will need it again later.\u003C/p\u003E\n","\u003Ch3\u003EDatabase Roles - Consumer Side\u003C/h3\u003E\n","\u003Cp\u003ETo complete the configuration of cross-account role-based access control you need to assign the shared database roles to local account roles in the consumer roles.\u003C/p\u003E\n","\u003Cp\u003ESwitch to your consumer accounts.\u003C/p\u003E\n","\u003Cp\u003EIn each of your consumer accounts you should already have the following 4 roles that you created during the account setup. Verify that these roles are in place. Else, create them now.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003ESHOW ROLES LIKE 'SALES%';\n\nCREATE OR REPLACE ROLE sales_emea_role     COMMENT = 'EMEA Sales role';\nCREATE OR REPLACE ROLE sales_americas_role COMMENT = 'Americas Sales role ';\nCREATE OR REPLACE ROLE sales_apj_role      COMMENT = 'APJ Sales role ';\nCREATE OR REPLACE ROLE sales_manager_role  COMMENT = 'Manager (all-access) role';\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EIn a real-world scenario you would now assign each of these roles to different users. For simplicity in this lab, grant all of these roles to yourself:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003ESET my_user_var  = CURRENT_USER();\nGRANT ROLE sales_emea_role     TO USER identifier($my_user_var);\nGRANT ROLE sales_americas_role TO USER identifier($my_user_var);\nGRANT ROLE sales_apj_role      TO USER identifier($my_user_var);\nGRANT ROLE sales_manager_role  TO USER identifier($my_user_var);\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EAnd finally, grant the shared database roles to the local account roles. This connects these local consumers roles to the row-access policy that you create on the provider side.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003Euse database TASTY_BYTES_ANALYTICS;\ngrant database role tastybytes_emea_role     to role sales_emea_role; \ngrant database role tastybytes_americas_role to role sales_americas_role;\ngrant database role tastybytes_apj_role      to role sales_apj_role; \ngrant database role tastybytes_manager_role  to role sales_manager_role;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EThe following picture illustrates the use of our database roles in this data sharing scenario.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/505_Database_Roles_Sharing.png\" alt=\"505_Database_Roles_Sharing\"\u003E\u003C/p\u003E\n","\u003Cp\u003ENow switch to the different local roles (sales_emea_role, sales_apj_role, etc) in each of your consumer accounts to verify that each local role can only see those rows in the CUSTOMER_LOYALTY_METRICS_V view that are permitted by the row-level access policy in the provider account.\u003C/p\u003E\n","\u003Ch3\u003EAggregation and Projection Policies\u003C/h3\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/550_DataSteward_4.png\" alt=\"550_DataSteward_4\"\u003E\u003C/p\u003E\n","\u003Cp\u003EFrosty the data steward has a new requirement for us. In the consumer accounts, only admins and managers may see the detailed per-customer loyalty data. Anyone else may see aggregated data only.\u003C/p\u003E\n","\u003Cp\u003ECreate the following \u003Ca href=\"https://docs.snowflake.com/en/user-guide/aggregation-policies\"\u003Eaggregation policy\u003C/a\u003E to implement this requirement:\u003C/p\u003E\n","\u003Cp\u003E\u003Cstrong\u003EFill in AWS Provider Account Name below\u003C/strong\u003E\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003ECREATE OR REPLACE AGGREGATION POLICY tasty_aggregation_policy\n  AS () RETURNS AGGREGATION_CONSTRAINT ->\n  CASE\n      WHEN current_account_name() IN ('*** FILL IN AWS Provider Account Name ***') \n       AND current_role() = 'ACCOUNTADMIN'\n      THEN NO_AGGREGATION_CONSTRAINT()\n\n      WHEN IS_DATABASE_ROLE_IN_SESSION('TASTYBYTES_MANAGER_ROLE')\n      THEN NO_AGGREGATION_CONSTRAINT()\n\n      ELSE AGGREGATION_CONSTRAINT(MIN_GROUP_SIZE => 50) -- at least 50 rows in aggregate\n    END;\n\nALTER VIEW analytics.CUSTOMER_LOYALTY_METRICS_V\n  SET AGGREGATION POLICY tasty_aggregation_policy;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003ENow switch to your consumer account \u003Cstrong\u003Ehorizon_lab_aws_consumer\u003C/strong\u003E to verify the effect of the aggregation policy:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003Euse role sales_apj_role;\n-- sales_apj_role gets blocked from accessing any individual records:\nSELECT * FROM analytics.CUSTOMER_LOYALTY_METRICS_V;\n\n-- sales_apj_role can execute aggregation queries:\nSELECT city, count(*) as num_cust_per_city\nFROM analytics.CUSTOMER_LOYALTY_METRICS_V\nGROUP BY city;\n\n-- sales_manager_role is permitted to access  individual records:\nuse role sales_manager_role;\nSELECT * FROM analytics.CUSTOMER_LOYALTY_METRICS_V LIMIT 100;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003ESwitch back to your AWS Provider account and issue the following command to deactivate the aggregation policy.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003EALTER TABLE analytics.CUSTOMER_LOYALTY_METRICS_V UNSET AGGREGATION POLICY;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003ENext, let's also create a \u003Ca href=\"https://docs.snowflake.com/en/user-guide/projection-policies\"\u003Eprojection policy\u003C/a\u003E that prevents the \u003Cstrong\u003Ecity\u003C/strong\u003E column from appearing in a result set but allows its usage in predicates to the restrict a query result:\u003C/p\u003E\n","\u003Cp\u003E\u003Cstrong\u003EFill in AWS Provider Account Name below\u003C/strong\u003E\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003ECREATE OR REPLACE PROJECTION POLICY tasty_projection_policy\n  AS () RETURNS PROJECTION_CONSTRAINT ->\n  CASE\n      WHEN current_account_name() IN ('*** FILL IN AWS Provider Account Name ***') \n       AND current_role() = 'ACCOUNTADMIN'\n      THEN PROJECTION_CONSTRAINT(ALLOW => true)\n\n      WHEN IS_DATABASE_ROLE_IN_SESSION('TASTYBYTES_MANAGER_ROLE')\n      THEN PROJECTION_CONSTRAINT(ALLOW => true)\n\n      ELSE PROJECTION_CONSTRAINT(ALLOW => false)\n    END;\n\nALTER VIEW analytics.CUSTOMER_LOYALTY_METRICS_V\n  MODIFY COLUMN city \n  SET PROJECTION POLICY tasty_projection_policy;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003ESwitch to your consumer account \u003Cstrong\u003Ehorizon_lab_aws_consumer\u003C/strong\u003E again to explore the effect of the projection policy on the results or the following queries:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003Euse role sales_apj_role;\n\nSELECT *              FROM analytics.CUSTOMER_LOYALTY_METRICS_V;\n\nSELECT * EXCLUDE city FROM analytics.CUSTOMER_LOYALTY_METRICS_V;\n\nSELECT * EXCLUDE city \nFROM analytics.CUSTOMER_LOYALTY_METRICS_V\nWHERE city IN ('Delhi','Tokyo','Seoul','Melbourne','Sydney','Mumbai');\n\nSELECT city, count(*) as num_cust_per_city\nFROM analytics.CUSTOMER_LOYALTY_METRICS_V\nGROUP BY city;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003ENote that a projection policy by itself does not prevent users from detecting information about individuals. For example, the following query is permitted (and returns customer details if you remove the masking policy \u003Cstrong\u003Epii_string_mask\u003C/strong\u003E):\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003ESELECT * EXCLUDE city\nFROM analytics.CUSTOMER_LOYALTY_METRICS_V\nWHERE city = 'Melbourne' AND last_name = 'Arellano';\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Ch2\u003EPublish Listing with Data Quality Metrics\u003C/h2\u003E\n","\u003Cp\u003EIn this section the data provider will capture \u003Ca href=\"https://docs.snowflake.com/en/user-guide/data-quality-intro\"\u003Edata quality metrics\u003C/a\u003E and share them with the data consumers. In particular, we want to monitor the data quality in the view ANALYTICS.ORDERS_BY_POSTAL_CODE_V.\u003C/p\u003E\n","\u003Ch3\u003EAssign Built-in and Custom Data Quality Metrics to Shared Data\u003C/h3\u003E\n","\u003Cp\u003EOn AWS Provider account, execute the following commands to create a database where we will define any custom quality functions.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003Euse role accountadmin;\ncreate or replace database tasty_bytes_quality;\nuse database tasty_bytes_quality;\ncreate schema dq_functions;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003ENext, let's define how often the quality of ORDERS_BY_POSTAL_CODE_V should be checked. For a table, the quality checks can be triggered by data changes or executed on a schedule. For views, the quality metrics can (currently) be evaluated on a schedule.\u003C/p\u003E\n","\u003Cp\u003ELet's set the schedule to the shortest possible interval, which is 5 minutes:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003EALTER VIEW FROSTBYTE_TASTY_BYTES.ANALYTICS.ORDERS_BY_POSTAL_CODE_V\n  SET DATA_METRIC_SCHEDULE = '5 MINUTE';\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003ENow, let's use two of \u003Ca href=\"https://docs.snowflake.com/en/user-guide/data-quality-system-dmfs\"\u003ESnowflake's built-in data quality functions\u003C/a\u003E to count the number of NULL valuse in the column POSTAL_CODE as well as the number of distinct cities reported in this view:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003EALTER VIEW FROSTBYTE_TASTY_BYTES.ANALYTICS.ORDERS_BY_POSTAL_CODE_V\n  ADD DATA METRIC FUNCTION SNOWFLAKE.CORE.NULL_COUNT ON (POSTAL_CODE);\n\nALTER VIEW FROSTBYTE_TASTY_BYTES.ANALYTICS.ORDERS_BY_POSTAL_CODE_V\n  ADD DATA METRIC FUNCTION SNOWFLAKE.CORE.UNIQUE_COUNT ON (CITY);\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EAdditionally, let's create a \u003Ca href=\"https://docs.snowflake.com/user-guide/data-quality-working#create-your-own-dmf\"\u003Ecustom data quality function\u003C/a\u003E that counts the number of outliers, i.e. postal areas with an exceptionally high or low number of orders:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003ECREATE OR REPLACE DATA METRIC FUNCTION tasty_bytes_quality.dq_functions.postal_code_order_outliers (t TABLE  (count_order INTEGER) )\nRETURNS INTEGER\nAS\n$$\n  select count(*) \n  from t\n  where count_order > 300000\n     or count_order < 30\n$$;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EThe owner of the object that is being monitored needs to have the privilege to execute the custom data metric function and use the database and schema where that function resides. Additional privileges are required to execute the built-in metric functions or view their results. To keep it simple, let's grant the following privileges to all users:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003EGRANT ALL ON FUNCTION tasty_bytes_quality.dq_functions.postal_code_order_outliers(TABLE(INTEGER)) to role public;\nGRANT USAGE ON DATABASE tasty_bytes_quality              to role public;\nGRANT USAGE ON SCHEMA   tasty_bytes_quality.dq_functions to role public;\n\nGRANT EXECUTE DATA METRIC FUNCTION ON ACCOUNT            to role public;\nGRANT DATABASE ROLE SNOWFLAKE.DATA_METRIC_USER           to role public;\nGRANT DATABASE ROLE SNOWFLAKE.USAGE_VIEWER               to role public;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003ENow we can apply our customer quality function to the view ORDERS_BY_POSTAL_CODE_V:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003EALTER VIEW FROSTBYTE_TASTY_BYTES.ANALYTICS.ORDERS_BY_POSTAL_CODE_V\n  ADD DATA METRIC FUNCTION tasty_bytes_quality.dq_functions.postal_code_order_outliers \n  ON (count_order);\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EUse the following command to verify that all three quality metrics have been scheduled correctly. Any permission problems would be reflected in the column "schedule_status". Possible status values are \u003Ca href=\"https://docs.snowflake.com/sql-reference/functions/data_metric_function_references#returns\"\u003Edocumented here\u003C/a\u003E.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003E  SELECT schedule_status, *\n  FROM TABLE(\n    INFORMATION_SCHEMA.DATA_METRIC_FUNCTION_REFERENCES(\n      REF_ENTITY_NAME => 'FROSTBYTE_TASTY_BYTES.ANALYTICS.ORDERS_BY_POSTAL_CODE_V',\n      REF_ENTITY_DOMAIN => 'VIEW'  )\n  );\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/600_DMF_Status.png\" alt=\"600_DMF_Status\"\u003E\u003C/p\u003E\n","\u003Cp\u003EAfter 5 minutes you can start observing quality metrics in the \u003Ca href=\"https://docs.snowflake.com/en/user-guide/data-quality-working#view-the-dmf-results\"\u003Edefault event table\u003C/a\u003E where all quality results are recorded:\u003C/p\u003E\n","\u003Cp\u003E\u003Cstrong\u003EUnfortunately, accessing \u003Ccode\u003Esnowflake.local.data_quality_monitoring_results\u003C/code\u003E is not yet available in Snowflake trial accounts!\u003C/strong\u003E Please skip ahead to the next section \u003Cem\u003ESharing Data Quality Metrics\u003C/em\u003E if you are using a trial account.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003ESELECT scheduled_time, measurement_time, metric_name, metric_schema,\n       value, table_name, table_schema, table_database \nFROM snowflake.local.data_quality_monitoring_results  /* not yet available in trial accounts! */\nORDER BY measurement_time DESC;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/601_DMF_Results.png\" alt=\"601_DMF_Results\"\u003E\u003C/p\u003E\n","\u003Cp\u003EAdditionally, you could define \u003Ca href=\"https://docs.snowflake.com/en/user-guide/alerts\"\u003EAlerts\u003C/a\u003E to watch the data quality metrics and take action automatically if acceptable thresholds are exceeded. For example, if the number of outliers reported by our custom quality function exceeds a certain value an alert could copy the offending rows into an exception table for review and send an \u003Ca href=\"https://docs.snowflake.com/en/user-guide/email-stored-procedures\"\u003Eemail notification\u003C/a\u003E.\u003C/p\u003E\n","\u003Ch3\u003ESharing Data Quality Metrics\u003C/h3\u003E\n","\u003Cp\u003EHow to share quality metrics from the event table with data consumers? At the time of authoring this lab (May 2024) event tables cannot be shared in a Listing directly. Similarly, views, streams, and dynamic tables are not yet an option for sharing data quality events.\u003C/p\u003E\n","\u003Cp\u003EAnd since Snowflake trial accounts cannot access the event table (yet!), let's setup a task that regularly inserts data quality metrics into a table for sharing:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003EUSE DATABASE FROSTBYTE_TASTY_BYTES;\nCREATE SCHEMA FROSTBYTE_TASTY_BYTES.dq;\n\n-- this table will hold and share 7 days worth of quality metrics:\nCREATE OR REPLACE TABLE FROSTBYTE_TASTY_BYTES.dq.shared_quality_events \n  (measurement_time TIMESTAMP, \n   table_name       VARCHAR, \n   table_schema     VARCHAR, \n   table_database   VARCHAR, \n   metric_name      VARCHAR, \n   metric_schema    VARCHAR,\n   value            INTEGER  );  \n \n\n-- this task will maintain the table above:\nCREATE OR REPLACE TASK FROSTBYTE_TASTY_BYTES.dq.subset_quality_events\n   SCHEDULE = '3 MINUTE'\n   AS BEGIN\n        DELETE FROM dq.shared_quality_events\n        WHERE measurement_time < current_date - 7;   \n\n        INSERT INTO dq.shared_quality_events\n           SELECT current_timestamp, 'ORDERS_BY_POSTAL_CODE_V',\n                  'ANALYTICS', 'FROSTBYTE_TASTY_BYTES',\n                  'NULL_COUNT', 'SNOWFLAKE.CORE',\n                   SNOWFLAKE.CORE.NULL_COUNT(\n                       SELECT POSTAL_CODE\n                       FROM ANALYTICS.ORDERS_BY_POSTAL_CODE_V);\n                       \n        INSERT INTO FROSTBYTE_TASTY_BYTES.dq.shared_quality_events\n           SELECT current_timestamp, 'ORDERS_BY_POSTAL_CODE_V',\n                  'ANALYTICS', 'FROSTBYTE_TASTY_BYTES',\n                  'UNIQUE_COUNT', 'SNOWFLAKE.CORE',\n                   SNOWFLAKE.CORE.UNIQUE_COUNT(\n                       SELECT city\n                       FROM ANALYTICS.ORDERS_BY_POSTAL_CODE_V);               \n                       \n        INSERT INTO FROSTBYTE_TASTY_BYTES.dq.shared_quality_events\n           SELECT current_timestamp, 'ORDERS_BY_POSTAL_CODE_V',\n                  'ANALYTICS', 'FROSTBYTE_TASTY_BYTES',\n                  'postal_code_order_outliers', 'dq_functions',\n                   tasty_bytes_quality.dq_functions.postal_code_order_outliers(\n                       SELECT count_order\n                       FROM ANALYTICS.ORDERS_BY_POSTAL_CODE_V);                     \n   END;\n\nALTER TASK subset_quality_events RESUME;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003ENow you can add the table "shared_quality_events" to the shared data product. Here are 2 options how you can so this.\u003C/p\u003E\n","\u003Cp\u003E\u003Cstrong\u003EOption 1: Programmatically\u003C/strong\u003E\u003C/p\u003E\n","\u003Cp\u003EGrant the share the necessary access to the "shared_quality_events" table. You should already have the share name from the early section on Database Roles. Else, get the share name as in the first step of option 2 below.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003EGRANT USAGE ON SCHEMA FROSTBYTE_TASTY_BYTES.dq TO SHARE <share_name>;\n \nGRANT SELECT ON FROSTBYTE_TASTY_BYTES.dq.shared_quality_events TO SHARE <share_name>;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E\u003Cstrong\u003EOption 2: In the UI\u003C/strong\u003E\u003C/p\u003E\n","\u003Cp\u003ETake the following 3 steps in the UI:\u003C/p\u003E\n\u003Col\u003E\u003Cli\u003E\n","\u003Cp\u003EIn the provider account, navigate to the Provider Studio, select "Listings" from the horizontal menu at the top, and open your listing. In the section "Data Product" click on the name of the Secure Share that bundles the shared data objects.\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/602_DMF_AddTableToShare_1.png\" alt=\"602_DMF_AddTableToShare_1\"\u003E\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EYou are now looking at a page detailing the underlying share. In the section "Data", click the "Edit" button:\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/603_DMF_AddTableToShare_2.png\" alt=\"603_DMF_AddTableToShare_2\"\u003E\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003ENow you can open the data explorer to find and select the table "dq.shared_quality_events". Click "Done" and "Save" to finalize the update of your data product.\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/604_DMF_AddTableToShare_3.png\" alt=\"604_DMF_AddTableToShare_3\"\u003E\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003ESwitch to your consumer account "horizon_lab_aws_consumer" to verify that the data quality metrics are immediately visible as a new table in the data product. In the second consumer account "horizon_lab_azure_consumer" you will see the same after the 1 minute replication interval.\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EGo back to your provider account and suspend the task, to save credits in your trial account.\u003C/p\u003E\n\u003C/li\u003E\u003C/ol\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003E  ALTER TASK subset_quality_events SUSPEND;\n  \n  ALTER VIEW FROSTBYTE_TASTY_BYTES.ANALYTICS.ORDERS_BY_POSTAL_CODE_V\n  UNSET DATA_METRIC_SCHEDULE;\n\u003C/code\u003E\u003C/pre\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003EPublish a Native Application Listing\u003C/h2\u003E\n","\u003Cp\u003EThe \u003Ca href=\"https://docs.snowflake.com/en/developer-guide/snowflake-cli-v2/native-apps/overview\"\u003ESnowflake Native Application Framework\u003C/a\u003E provides developers the ability to create data intensive applications that run \u003Cem\u003Ewithin\u003C/em\u003E the Snowflake platform with versioning controls.\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003ENative Apps allow sharing of data and related business logic with other Snowflake accounts.\u003C/li\u003E\u003Cli\u003ENative Apps are shared with Consumer accounts using a Listing.\n\u003Cul\u003E\u003Cli\u003EA listing can be free or paid, published on Marketplace or to specific accounts\u003C/li\u003E\u003C/ul\u003E\n\u003C/li\u003E\u003Cli\u003ERich visualizations can be include in the application with Streamlit.\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003ENative App Workflow\u003C/h3\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/native-app-framework.jpg\" alt=\"High Level View of Snowflake Native App Framework\"\u003E\u003C/p\u003E\n","\u003Cp\u003EYou will build a native app that visualizes Tasty Bytes food truck Sales over Time by City.\u003C/p\u003E\n","\u003Cp\u003EThe app will allow filtering on Year and City, while displaying the underlying raw data and associated SQL query.\nConsumer account admins responsible for installing the application will supply a country lookup table that restricts what is shown by Country using a row-access policy.\u003C/p\u003E\n","\u003Ch3\u003EOverview of Project Structure\u003C/h3\u003E\n","\u003Cp\u003EHere is the directory structure of the code repository that was cloned or downloaded from GitHub earlier, relevant to \u003Ccode\u003Eapp\u003C/code\u003E artifacts for the native app:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-plaintext\"\u003E|-- app\n|   |-- src\n|       |-- libraries\n|       |   |-- environment.yml\n|       |   |-- frosty_bytes_sis.py\n|       |   |-- procs.py\n|       |   |-- udf.py\n|       |-- manifest.yml\n|       |-- setup_script.sql\n|       |-- readme.md\n|-- scripts\n|   |-- setup_package_script.sql\n|-- snowflake.yml\n\u003C/code\u003E\u003C/pre\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E\u003Ccode\u003Esrc\u003C/code\u003E - stores all source code including stored procedures, user-defined functions (UDFs), streamlit application and installation script \u003Ccode\u003Esetup_script.sql\u003C/code\u003E.\u003C/p\u003E\n\u003C/blockquote\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E\u003Ccode\u003Esetup_script.sql\u003C/code\u003E - defines all Snowflake objects used within the application. Runs every time a user installs the application, such as when a Consumer account installs the listing.\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Cp\u003EHere is a snippet from \u003Ccode\u003Esetup_script.sql\u003C/code\u003E that shows how a row-access policy limits country sales based on consumer region and role.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003E-- Create Row-Access Policy to limit access by Consumer region using a local mapping table\nCREATE OR REPLACE TABLE app_instance_schema.region_country_map(region STRING, country STRING);\n\nINSERT INTO app_instance_schema.region_country_map\n    VALUES  ('PUBLIC.AZURE_WESTEUROPE','Germany'),\n            ('PUBLIC.AZURE_WESTEUROPE','Spain'),\n            (......);\n\nCREATE OR REPLACE ROW ACCESS POLICY app_instance_schema.country_row_policy\n    AS (country STRING) RETURNS BOOLEAN -> \n    country = 'Canada' \n    OR current_role() IN ('ACCOUNTADMIN','SYSADMIN','SALES_MANAGER_ROLE')\n    OR EXISTS \n    (\n        SELECT 1\n        FROM app_instance_schema.region_country_map map\n        WHERE 1=1\n        AND map.region = current_region()\n        AND map.country = country\n    )\nCOMMENT = 'Policy to limit rows returned based on region';\n\nALTER VIEW app_instance_schema.orders_v\n  ADD ROW ACCESS POLICY app_instance_schema.country_row_policy ON (country);\n\u003C/code\u003E\u003C/pre\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E\u003Ccode\u003Emanifest.yml\u003C/code\u003E - defines version metadata, location of artifacts (setup script, streamlit), configuration of logging/tracing.\u003C/p\u003E\n\u003C/blockquote\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E\u003Ccode\u003Esetup_package_script.sql\u003C/code\u003E - shares provider data that is needed by the application, executed when the application package is deployed or upgraded.\u003C/p\u003E\n\u003C/blockquote\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E\u003Ccode\u003Esnowflake.yml\u003C/code\u003E - Snowflake CLI configuration file that contains native app name, location of source code directory, location of package setup script \u003Ccode\u003Esetup_package_script.sql\u003C/code\u003E\u003C/p\u003E\n\u003C/blockquote\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E\u003Ccode\u003Efrosty_bytes_sis.py\u003C/code\u003E - Streamlit visualization python script that accesses the shared data within the application package.\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Cp\u003ERefer to the \u003Ca href=\"/en/developers/guides/getting-started-with-native-apps/\"\u003EGetting Started with Native Apps\u003C/a\u003E Quickstart for more details.\u003C/p\u003E\n","\u003Ch3\u003ECreate Application Package using Snowflake CLI\u003C/h3\u003E\n","\u003Cp\u003ENow let's create the Snowflake Application Package from the project files in our repo!\u003C/p\u003E\n","\u003Cp\u003EOpen a new terminal at the root of the repository cloned/downloaded from Github and execute the following commands:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-bash\"\u003E# verify that 3 account connections exist, with AWS Provider Account as DEFAULT\nsnow connection list\n+-------------------------------------------------------------------------------------------------------------------------------+\n| connection_name        | parameters                                                                              | is_default |\n|------------------------+-----------------------------------------------------------------------------------------+------------|\n| horizon-aws-provider   | {'account': '***orgname-accountname***', 'user': 'horizonadmin', 'password':            | True       |\n|                        | '****', 'warehouse': 'compute_wh', 'role': 'accountadmin'}                              |            |\n| horizon-aws-consumer   | {'account': '**orgname**-horizon_lab_aws_consumer', 'user': 'horizonadmin',             | False      |\n|                        | 'password': '****', 'warehouse': 'compute_wh', 'role': 'accountadmin'}                  |            |\n| horizon-azure-consumer | {'account': '***orgname***-horizon_lab_azure_consumer', 'user': 'horizonadmin',         | False      |\n|                        | 'password': '****', 'warehouse': 'compute_wh', 'role': 'accountadmin'}                  |            |\n+-------------------------------------------------------------------------------------------------------------------------------+\n\nsnow app version create --skip-git-check\n\nsnow sql -q 'ALTER APPLICATION PACKAGE horizon_quickstart_package SET DEFAULT RELEASE DIRECTIVE version=V1 patch=0'\n+---------------------------------------------------------+\n| status                                                  |\n|---------------------------------------------------------|\n| Default release directive set to version 'V1', patch 0. |\n+---------------------------------------------------------+\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EThe \u003Ccode\u003Eapp version create\u003C/code\u003E command will upload source files to a stage and create the application package.\nSetting the default release version and patch is a required step before the application package can be published in a listing.\nDocumentation for publishing native applications is \u003Ca href=\"https://other-docs.snowflake.com/en/native-apps/provider-publishing-app-package#workflow-for-publishing-an-application-package\"\u003Ehere\u003C/a\u003E\u003C/p\u003E\n","\u003Cp\u003EYou should now see the \u003Cstrong\u003EHORIZON_QUICKSTART_PACKAGE\u003C/strong\u003E listed under the \u003Ccode\u003EDatabases\u003C/code\u003E panel in Snowsight.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/horizon_quickstart_app_pkg.jpg\" alt=\"HORIZON_QUICKSTART_APP\"\u003E\u003C/p\u003E\n","\u003Ch3\u003EPublish App Package as a Listing targeted at our AWS, Azure Consumer Accounts\u003C/h3\u003E\n","\u003Cp\u003EReturn to Snowsight and ensure your role is \u003Ccode\u003EACCOUNTADMIN\u003C/code\u003E (check and set if necessary at the bottom left corner)\u003C/p\u003E\n","\u003Cp\u003ENavigate to \u003Cstrong\u003EProvider Studio\u003C/strong\u003E (under Data Products) and click on \u003Ccode\u003E+ Listing\u003C/code\u003E to author a native app listing.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/create-native-app-listing.jpg\" alt=\"Create Listing\"\u003E\u003C/p\u003E\n","\u003Cp\u003ENow select the \u003Ccode\u003EHORIZON_QUICKSTART_PACKAGE\u003C/code\u003E and fill in a brief description using the rich text editor.\nYou can use this text to get started, but feel free to get creative!\u003C/p\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E\u003Cem\u003E\u003Ca href=\"/en/developers/guides/tasty-bytes-introduction/\"\u003ETasty Bytes\u003C/a\u003E is a fictitious global food truck network\u003C/em\u003E\n\u003Cem\u003Ethat is on a mission to serve unique food options with high quality items in a safe, convenient and cost effective way.\u003C/em\u003E\n\u003Cem\u003EIn order to drive forward on their mission, Tasty Bytes is beginning to leverage the Snowflake Data Cloud.\u003C/em\u003E\u003C/p\u003E\n","\u003Cp\u003EThis application provides \u003Cstrong\u003ETotal Sales (USD) by Year\u003C/strong\u003E for selected cities in an interactive graphical visualization.\nThe cities available are dependent upon the Consumer account region: only sales for regional cities are shown.\nAlso displayed are the underlying raw sales data and associated SQL query.\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Cp\u003EAdd 2 Consumer Accounts: \u003Ccode\u003E<YOUR-ORGNAME>.HORIZON_LAB_AWS_CONSUMER\u003C/code\u003E and \u003Ccode\u003E<YOUR-ORGNAME>.HORIZON_LAB_AZURE_CONSUMER\u003C/code\u003E\u003C/p\u003E\n","\u003Cp\u003EThe addition of a consumer account in a different cloud (or region) will reveal the auto-fulfillment panel.\nProvide your email to receive notifications and \u003Cstrong\u003EPublish\u003C/strong\u003E\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/create-native-app-listing-detail.jpg\" alt=\"Publish Listing\"\u003E\u003C/p\u003E\n","\u003Cp\u003EInitially the auto-fulfillment frequency is set to 1 Day, you can change it to 15 minutes after the listing is published.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/manage-regions-replication.jpg\" alt=\"Update Refresh Frequency\"\u003E\u003C/p\u003E\n","\u003Ch3\u003EInstall the Tasty Bytes Sales App on Azure Consumer (HORIZON_LAB_AZURE_CONSUMER)\u003C/h3\u003E\n","\u003Cp\u003EWe are now at the moment of truth! \u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/snowflake-icon.jpg\" alt=\"snowflake\"\u003E\u003C/p\u003E\n","\u003Cp\u003E\u003Cstrong\u003ESwitch to the HORIZON_LAB_AZURE_CONSUMER account\u003C/strong\u003E\u003C/p\u003E\n","\u003Cp\u003EWith listing auto-fulfillment, replication will only be initiated from Provider AWS region to Consumer Azure region when there is a request.\nNavigate to Snowsight \u003Ccode\u003EData Products -> Private Sharing\u003C/code\u003E to acquire the Tasty Bytes Global Sales application:\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/azure-consumer-listing.jpg\" alt=\"Azure Consumer Listing\"\u003E\u003C/p\u003E\n","\u003Cp\u003EWhile the application objects are being delivered cross-cloud, we can now switch to the local AWS region consumer and install immediately.\u003C/p\u003E\n","\u003Cp\u003E\u003Cstrong\u003ESwitch to the HORIZON_LAB_AWS_CONSUMER account\u003C/strong\u003E\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/aws-install-app.jpg\" alt=\"Application Install on AWS\"\u003E\u003C/p\u003E\n","\u003Cp\u003EOpen the application and while it is spinning up, click on the \u003Ccode\u003EManage Access\u003C/code\u003E button at top-right and give \u003Cstrong\u003EPUBLIC\u003C/strong\u003E access.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/native-app-access.jpg\" alt=\"Manage Access\"\u003E\u003C/p\u003E\n","\u003Cp\u003ENow try adding a few cities in addition to \u003Cem\u003EVancouver\u003C/em\u003E:\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/global-sales-aws-uswest.jpg\" alt=\"Global Sales AWS-USWEST\"\u003E\u003C/p\u003E\n","\u003Cp\u003ETasty Bytes is sold in 15 countries and 30 cities worldwide.\nConsider these questions and see if you can come up with convincing answers:\u003C/p\u003E\n\u003Col\u003E\u003Cli\u003EWhat is the query that generates the city list in the Streamlit graph? [Hint: see \u003Ccode\u003Efrosty_bytes_sis.py\u003C/code\u003E]\u003C/li\u003E\u003Cli\u003EHow many cities can be selected? If not all, why not? [Hint: see \u003Ccode\u003Esetup_script.sql\u003C/code\u003E]\u003C/li\u003E\u003Cli\u003ETry different roles [\u003Ccode\u003EACCOUNTADMIN\u003C/code\u003E,\u003Ccode\u003ESALES_MANAGER_ROLE\u003C/code\u003E,\u003Ccode\u003EPUBLIC\u003C/code\u003E] - does the city list change?\u003C/li\u003E\u003C/ol\u003E\n","\u003Cp\u003ENow it is time to return to \u003Cstrong\u003EHORIZON_LAB_AZURE_CONSUMER\u003C/strong\u003E and check if auto-fulfillment has completed...\u003C/p\u003E\n","\u003Cp\u003EOpen the application and again while it is spinning up, click on the \u003Ccode\u003EManage Access\u003C/code\u003E button to give \u003Cstrong\u003EPUBLIC\u003C/strong\u003E access.\u003C/p\u003E\n","\u003Cp\u003ETry adding a few cities in addition to \u003Cem\u003EVancouver\u003C/em\u003E as we did with the AWS US West consumer account\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/global-sales-azure-westeurope.jpg\" alt=\"Global Sales Azure-WestEurope\"\u003E\u003C/p\u003E\n\u003Col\u003E\u003Cli\u003EWhy is the country list different in the Azure West-Europe region (except Vancouver!)?\u003C/li\u003E\u003Cli\u003EAgain, does it make any difference with different roles?\u003C/li\u003E\u003C/ol\u003E\n\u003Cpre\u003E\u003Ccode\u003EStreamlit does not currently allow role-based policies because of security concerns, so only the region mapping in the policy will apply.\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003ETo observe how the row-access policy evaluation of \u003Ccode\u003Ecurrent_role()\u003C/code\u003E works in an application instance, outside of Streamlit, step through this SQL snippet in a \u003Ccode\u003EWorksheet\u003C/code\u003E on the \u003Cstrong\u003EHORIZON_LAB_AWS_CONSUMER\u003C/strong\u003E and \u003Cstrong\u003EHORIZON_LAB_AZURE_CONSUMER\u003C/strong\u003E accounts:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003EUSE APPLICATION TASTY_BYTES_GLOBAL_SALES;\n\nUSE ROLE ACCOUNTADMIN;\nselect distinct primary_city from tasty_bytes_global_sales.app_instance_schema.orders_v;\n\nUSE ROLE SALES_AMERICAS_ROLE;\nselect distinct primary_city from tasty_bytes_global_sales.app_instance_schema.orders_v;\n\nUSE ROLE SALES_APJ_ROLE;\nselect distinct primary_city from tasty_bytes_global_sales.app_instance_schema.orders_v;\n\nUSE ROLE SALES_EMEA_ROLE;\nselect distinct primary_city from tasty_bytes_global_sales.app_instance_schema.orders_v;\n\nUSE ROLE SALES_MANAGER_ROLE;\nselect distinct primary_city from tasty_bytes_global_sales.app_instance_schema.orders_v;\n\u003C/code\u003E\u003C/pre\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003EShare Snowflake-Managed Iceberg Tables\u003C/h2\u003E\n","\u003Cp\u003EIceberg tables in Snowflake combine the performance and query semantics of regular Snowflake tables with external cloud storage managed by the customer. Snowflake supports Iceberg tables that use the Apache Parquet file format.\u003C/p\u003E\n","\u003Cp\u003ECreating and writing data into a Snowflake Iceberg table is beyond the scope of this lab; we will focus only on the Consumer side of Iceberg table sharing.\u003C/p\u003E\n","\u003Cp\u003EUsing the method outlined in \u003Ca href=\"/en/developers/guides/getting-started-iceberg-tables/\"\u003EGetting Started with Iceberg Tables\u003C/a\u003E Quickstart, create Iceberg Tables and policies based on what we created in the previous lab section.\u003C/p\u003E\n","\u003Cp\u003EOn the \u003Ccode\u003EProvider AWS Account\u003C/code\u003E execute the steps listed in \u003Ccode\u003Ecode/sql/reference/iceberg_provider.sql\u003C/code\u003E cloned from \u003Ca href=\"https://github.com/Snowflake-Labs/sfguide-horizon-intra-organization-sharing\"\u003EHorizon Quickstart Scripts\u003C/a\u003E repository earlier:\u003C/p\u003E\n\u003Col\u003E\u003Cli\u003ECreate External Volume in Snowflake, after configuring an external volume with your cloud service provider (AWS, Azure, GCP).\u003C/li\u003E\u003Cli\u003ECreate a \u003Ccode\u003EFROSTBYTE_ICEBERG\u003C/code\u003E database with schemas for ANALYTICS, RAW_POS, RAW_CUSTOMER, GOVERNANCE, TPCH.\u003C/li\u003E\u003Cli\u003ECreate Iceberg Tables \u003Ccode\u003ECUSTOMER_LOYALTY_ICEBERG\u003C/code\u003E, \u003Ccode\u003EORDER_HEADER_ICEBERG\u003C/code\u003E, \u003Ccode\u003ECUSTOMER_TPCH_ICEBERG\u003C/code\u003E, \u003Ccode\u003ENATION_TPCH_ICEBERG\u003C/code\u003E.\u003C/li\u003E\u003Cli\u003ECreate Secure View \u003Ccode\u003ECUSTOMER_LOYALTY_METRICS_V\u003C/code\u003E that joins multiple iceberg tables.\u003C/li\u003E\u003Cli\u003ECreate Database Roles \u003Ccode\u003ETASTYBYTES_MANAGER_ROLE\u003C/code\u003E and \u003Ccode\u003ETASTYBYTES_ANALYST_ROLE\u003C/code\u003E to restrict access for consumers.\u003C/li\u003E\u003Cli\u003ECreate and apply row-access policy \u003Ccode\u003ECUSTOMER_COUNTRY_ROW_POLICY\u003C/code\u003E to \u003Ccode\u003ECUSTOMER_LOYALTY_ICEBERG.COUNTRY\u003C/code\u003E column that filters based on database role using the \u003Ccode\u003Eis_database_role_in_session()\u003C/code\u003E context function.\u003C/li\u003E\u003Cli\u003ECreate a listing called \u003Ccode\u003EICEBERG_LAB_ANALYTICS\u003C/code\u003E, attach iceberg tables and secure view.\u003C/li\u003E\u003Cli\u003EIn the \u003Cstrong\u003EListing Description\u003C/strong\u003E section: enter instructions on post-installation steps (see below)\u003C/li\u003E\u003Cli\u003EIn the \u003Cstrong\u003ESample Queries\u003C/strong\u003E section: enter queries for the consumer to run\u003C/li\u003E\u003C/ol\u003E\n","\u003Cp\u003ENow switch to the \u003Cstrong\u003EHORIZON_LAB_AWS_CONSUMER\u003C/strong\u003E account.\u003C/p\u003E\n","\u003Cp\u003ENavigate to \u003Ccode\u003EPrivate Sharing\u003C/code\u003E in Snowsight and install the \u003Ccode\u003EICEBERG_LAB_ANALYTICS\u003C/code\u003E listing that was shared by the AWS Provider.\nRun these post-installation steps in a worksheet.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003EUSE ROLE accountadmin;\nSHOW DATABASE ROLES IN DATABASE iceberg_lab_analytics;\nGRANT DATABASE ROLE iceberg_lab_analytics.tastybytes_manager_role to ROLE sales_manager_role;\nGRANT DATABASE ROLE iceberg_lab_analytics.tastybytes_analyst_role to ROLE public;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003ECreate two users to test access controls on the incoming Iceberg Analytics listing.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003EUSE ROLE ACCOUNTADMIN;\n\nCREATE OR REPLACE USER horizonengineer\nPASSWORD='' \nDEFAULT_ROLE = PUBLIC \nMUST_CHANGE_PASSWORD = FALSE \nDEFAULT_WAREHOUSE = COMPUTE_WH;\n\nCREATE OR REPLACE USER horizonmanager\nPASSWORD='' \nDEFAULT_ROLE = SALES_MANAGER_ROLE \nMUST_CHANGE_PASSWORD = FALSE \nDEFAULT_WAREHOUSE = COMPUTE_WH;\n\nGRANT ROLE SALES_MANAGER_ROLE TO USER horizonmanager;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003ENow run these queries that were entered as \u003Cstrong\u003ESample Queries\u003C/strong\u003E in the Iceberg listing.\nCompare results as a \u003Ccode\u003Ehorizonengineer\u003C/code\u003E and \u003Ccode\u003Ehorizonmanager\u003C/code\u003E user that leverages the row-access policy to limit sales analytics.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003E// Customer Sales by City\n/*\nTotal food truck sales in USD by city\n*/\nSELECT\n    clm.city,\n    ROUND(SUM(clm.total_sales), 0) AS total_sales_usd\nFROM analytics.customer_loyalty_metrics_v clm\nGROUP BY clm.city\nORDER BY total_sales_usd DESC;\n\n// Total Orders by Gender\n/*\nWhat are the total order amounts in each city by gender?\n*/\nSELECT \n    cl.gender,\n    cl.city,\n    COUNT(oh.order_id) AS count_order,\n    ROUND(SUM(oh.order_amount),0) AS order_total,\n    current_time()\nFROM raw_pos.order_header_iceberg oh\nJOIN raw_customer.customer_loyalty_iceberg cl\n    ON oh.customer_id = cl.customer_id\nGROUP BY ALL\nORDER BY order_total DESC;\n\n// Visible Countries and Cities\n/*\nHow many cities in what countries can I view analytics data for?\n*/\nSELECT DISTINCT COUNTRY, CITY FROM analytics.customer_loyalty_metrics_v ORDER BY COUNTRY;\n;\n\n// TPCH Benchmark - Returned Item Reporting Query (Q10)\n/*\nThe Returned Item Reporting Query finds the top 10 customers, in terms of their effect on lost revenue for a given quarter, who have returned parts. The customers are listed in descending order of lost revenue.\n*/\nSELECT\n     c_custkey,\n     c_name,\n     TRUNCATE(SUM(l_extendedprice * (1 - l_discount))) AS lost_revenue,\n     c_acctbal,\n     n_name,\n     c_address,\n     c_phone,\n     c_comment\nFROM\n     tpch.customer_tpch_iceberg,\n     SNOWFLAKE_SAMPLE_DATA.TPCH_SF100.ORDERS,\n     SNOWFLAKE_SAMPLE_DATA.TPCH_SF100.LINEITEM,\n     tpch.nation_tpch_iceberg\nWHERE\n     c_custkey = o_custkey\n     AND l_orderkey = o_orderkey\n     AND o_orderdate >= to_date('1993-10-01')\n     AND o_orderdate < dateadd(month, 3, to_date('1993-10-01'))\n     AND l_returnflag = 'R'\n     AND c_nationkey = n_nationkey\nGROUP BY\n     c_custkey,\n     c_name,\n     c_acctbal,\n     c_phone,\n     n_name,\n     c_address,\n     c_comment\nORDER BY\n     lost_revenue DESC\nLIMIT 10\n;\n\u003C/code\u003E\u003C/pre\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003EShare Unstructured Data\u003C/h2\u003E\n","\u003Cp\u003EWe have previously staged 100 movie reviews extracted from the \u003Ca href=\"https://ai.stanford.edu/~amaas/data/sentiment/\"\u003EIMDB Large Movie Review Dataset\u003C/a\u003E.\u003C/p\u003E\n","\u003Cp\u003EDirectory Tables are built-in Snowflake objects that provide an updated, tabular file catalog for staged data that makes it easy to search and lookup files.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003EUSE ROLE sysadmin;\nUSE WAREHOUSE tasty_de_wh;\nUSE SCHEMA frostbyte_tasty_bytes.movie_reviews;\n\nALTER STAGE movie_stage refresh;\nSELECT * FROM DIRECTORY(@movie_stage);\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003ESnowflake offers access to unstructured data through three types of URLs based on the access policy that is required:\u003C/p\u003E\n\u003Col\u003E\u003Cli\u003E\u003Ca href=\"https://docs.snowflake.com/en/sql-reference/functions/build_scoped_file_url.html?_fsi=A9hUbkt2&_fsi=A9hUbkt2\"\u003EScoped URL\u003C/a\u003E: encoded URL to give a user temporary access (currently 24 hours) to a file without giving access to the stage.\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"https://docs.snowflake.com/en/sql-reference/functions/build_stage_file_url.html\"\u003EFile URL\u003C/a\u003E: requires user authentication with Snowflake and read privileges on the stage.\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"https://docs.snowflake.com/en/sql-reference/functions/get_presigned_url.html\"\u003EPre-signed URL\u003C/a\u003E: pre-authenticated URL that allows download directly from a browser.\u003C/li\u003E\u003C/ol\u003E\n","\u003Cp\u003EWe will use \u003Cstrong\u003E\u003Cem\u003EScoped URL\u003C/em\u003E\u003C/strong\u003E to share these text files within and across cloud regions. Unlike with data and app sharing, the unstructured data will not be physically replicated cross-cloud.\u003C/p\u003E\n","\u003Cp\u003EOn the \u003Cstrong\u003EAWS Provider Account\u003C/strong\u003E open a SQL Worksheet called \u003Ccode\u003EUnstructured Data\u003C/code\u003E and execute these commands sequentially:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003EUSE ROLE sysadmin;\nUSE WAREHOUSE tasty_de_wh;\nUSE SCHEMA frostbyte_tasty_bytes.movie_reviews;\n\n-- Here are the 100 review text files: click on any scoped URL to download and view\nSELECT relative_path\n , build_scoped_file_url(@movie_stage, relative_path) as scoped_url\nfrom directory(@movie_stage);\n\n-- Snowpark Python UDF to extract review contents from each file URL\nCREATE FUNCTION extract_review(file_path string)\nRETURNS STRING\nLANGUAGE PYTHON\nRUNTIME_VERSION = '3.8'\nPACKAGES = ('snowflake-snowpark-python')\nHANDLER = 'parse_text_file'\nAS\n$$\n\ndef parse_text_file(file_path):\n    from snowflake.snowpark.files import SnowflakeFile\n    with SnowflakeFile.open(file_path, 'r') as f:\n        lines = [ line.strip() for line in f ]\n        return lines\n$$\n;\n\n-- Share secure view that extracts review contents for the Consumer\nCREATE OR REPLACE SECURE VIEW movie_reviews_v\n    AS\nSELECT relative_path as review_file_name, \n    extract_review(build_scoped_file_url(@movie_stage, relative_path)) as review_content,\n    build_scoped_file_url(@movie_stage, relative_path) as scoped_url\nFROM DIRECTORY(@movie_stage);\n\nSELECT * FROM movie_reviews_v limit 10;\n\n-- Use the SUMMARIZE and SENTIMENT in-built Cortex LLM functions to derive insights from these reviews\nSELECT review_file_name, \nSNOWFLAKE.CORTEX.SUMMARIZE(review_content) as Summary, \nTO_DECIMAL(SNOWFLAKE.CORTEX.SENTIMENT(review_content),3,2) as Sentiment,\nscoped_url\nFROM movie_reviews_v\nORDER BY Sentiment DESC\nLIMIT 10;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003ENow this secure view can be shared in a private listing targeted at \u003Ccode\u003Ehorizon_lab_aws_consumer\u003C/code\u003E and \u003Ccode\u003Ehorizon_lab_azure_consumer\u003C/code\u003E just as we did in earlier sections with data and apps.\u003C/p\u003E\n","\u003Cp\u003ECreate a new listing called \u003Ccode\u003EIMDB Movie Reviews\u003C/code\u003E in Provider Studio to publish the review files and content:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003Eshare the \u003Ccode\u003EMOVIE_REVIEWS_V\u003C/code\u003E view\u003C/li\u003E\u003Cli\u003Eadd a description that includes a link to the highest grossing film of all time: \u003Ca href=\"https://www.youtube.com/watch?v=5PSNL1qE6VY\"\u003EAvatar\u003C/a\u003E and this link that documents the reference dataset \u003Ca href=\"https://ai.stanford.edu/~amaas/data/sentiment/\"\u003EIMDB Large Movie Review Dataset\u003C/a\u003E\u003C/li\u003E\u003Cli\u003Etarget the two Consumer accounts in AWS and Azure regions\u003C/li\u003E\u003Cli\u003Einclude the query that calls \u003Ccode\u003ESUMMARIZE\u003C/code\u003E and \u003Ccode\u003ESENTIMENT\u003C/code\u003E Cortex LLM functions in the Sample Queries section to make it easy for Consumers\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/error-publishing-python-function.jpg\" alt=\"Listing publish failure\"\u003E\u003C/p\u003E\n","\u003Cp\u003E\u003Cstrong\u003EPublishing Fails\u003C/strong\u003E - do you understand why?\u003C/p\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003EHint: \u003Ccode\u003EMOVIE_REVIEWS_V\u003C/code\u003E uses a Python UDF for review content extraction, \u003Cem\u003Ewhich can only be shared in a Native App!\u003C/em\u003E\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Cp\u003EReturn to the \u003Ccode\u003EHORIZON_QUICKSTART_PACKAGE\u003C/code\u003E we created in the previous section and publish an update after adding \u003Ccode\u003EMOVIE_REVIEWS_V\u003C/code\u003E. Here are the steps:\u003C/p\u003E\n\u003Cblockquote\u003E\n\u003Col\u003E\u003Cli\u003EModify \u003Ccode\u003Escripts/setup_package_script.sql\u003C/code\u003E:\nshare the \u003Ccode\u003Emovie_reviews_v\u003C/code\u003E view similar to how \u003Ccode\u003Eorders_v\u003C/code\u003E view was handled\u003C/li\u003E\u003Cli\u003EModify \u003Ccode\u003Eapp/src/setup_script.sql\u003C/code\u003E:\ncreate a proxy view \u003Ccode\u003Emovie_reviews_v\u003C/code\u003E similar to \u003Ccode\u003Eorders_v\u003C/code\u003E in \u003Ccode\u003Eapp_instance_schema\u003C/code\u003E\ngrant select on \u003Ccode\u003Emovie_reviews_v\u003C/code\u003E to the application role \u003Ccode\u003Eapp_instance_role\u003C/code\u003E to make it visible\u003C/li\u003E\u003Cli\u003ECreate a new app version V2 by issuing:\n\u003Ccode\u003Esnow app version create V2 --skip-git-check\u003C/code\u003E\u003C/li\u003E\u003Cli\u003ESet the DEFAULT RELEASE DIRECTIVE to version V2 patch 0\n\u003Ccode\u003Esnow sql -q 'ALTER APPLICATION PACKAGE horizon_quickstart_package SET DEFAULT RELEASE DIRECTIVE version=V2 patch=0'\u003C/code\u003E\u003C/li\u003E\u003C/ol\u003E\n\u003C/blockquote\u003E\n","\u003Cp\u003EAnd that is all it takes to upgrade a native app!\n\u003Cem\u003E(here is the \u003Ca href=\"https://docs.snowflake.com/en/developer-guide/native-apps/versioning#workflow-for-upgrading-an-native-app\"\u003EApp Upgrade Workflow doc\u003C/a\u003E)\u003C/em\u003E\u003C/p\u003E\n","\u003Cp\u003EOn the \u003Cstrong\u003EAWS Consumer Account\u003C/strong\u003E run this in a SQL Worksheet:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003EUSE ROLE ACCOUNTADMIN;\n\n-- install the app upgrade\nALTER APPLICATION TASTY_BYTES_GLOBAL_SALES UPGRADE;\n\nUSE APPLICATION TASTY_BYTES_GLOBAL_SALES;\n\nSELECT * FROM app_instance_schema.movie_reviews_v limit 10;\n\nSELECT review_file_name, \nSNOWFLAKE.CORTEX.SUMMARIZE(review_content) as Summary, \nTO_DECIMAL(SNOWFLAKE.CORTEX.SENTIMENT(review_content),3,2) as Sentiment,\nscoped_url\nFROM app_instance_schema.movie_reviews_v\nORDER BY Sentiment DESC\nLIMIT 10; \n\n-- Use this query to monitor usage of AI Services\n-- Note: this will only populate on a daily basis\nSELECT *\n  FROM snowflake.account_usage.metering_daily_history\n  WHERE SERVICE_TYPE='AI_SERVICES';\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003ETry the same steps on the \u003Cstrong\u003EAzure Consumer Account\u003C/strong\u003E:\u003C/p\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003EHow do you expect the refresh frequency for cross-cloud fulfillment to impact the application upgrade?\n(documentation on cross-region application upgrades \u003Ca href=\"https://docs.snowflake.com/en/developer-guide/native-apps/versioning#upgrade-an-installed-app-across-multiple-regions\"\u003Ehere\u003C/a\u003E)\u003C/p\u003E\n\u003C/blockquote\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003EConclusion & Resources\u003C/h2\u003E\n","\u003Cp\u003ECongratulations, you made it through our Horizon Collaboration journey! You have exercised a broad range of data sharing and governance capabilities. You have worked with different types of data products including structured data, unstructured data, and native applications. And you have deployed different types of governance policies to implement data access and data privacy restrictions.\u003C/p\u003E\n","\u003Ch3\u003EWhat you Learned\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003E\n","\u003Cp\u003EHow to blend local Point-of-Sale data with Marketplace Weather data to build analytics data products.\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EHow to publish data products as Listings targeted at accounts in your company\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EHow to configure data access and privacy polices as a data provider to restrict data access by data consumers.\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EHow to use tag-based column masking, row-access, aggregation and projection policies with database roles in a collaboration scenario.\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EHow to manage Listings via the Listings API.\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EHow to setup data quality monitoring of shared data products\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EHow to share Iceberg Tables within a cloud region\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EHow to share a native application with Streamlit visualization\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EHow to share unstructured text files and process with Cortex LLM functions\u003C/p\u003E\n\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003ERelated Resources\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003E\n","\u003Cp\u003E\u003Ca href=\"https://github.com/Snowflake-Labs/sfguide-horizon-intra-organization-sharing\"\u003ELab Source Code on Github\u003C/a\u003E\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003E\u003Ca href=\"https://other-docs.snowflake.com/en/collaboration/collaboration-listings-about\"\u003ESnowflake Listings\u003C/a\u003E and \u003Ca href=\"https://docs.snowflake.com/en/sql-reference/commands-listings\"\u003EManaging Listings via API\u003C/a\u003E\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003E\u003Ca href=\"https://other-docs.snowflake.com/en/collaboration/provider-listings-auto-fulfillment\"\u003ECross-cloud Auto-Fulfillment\u003C/a\u003E\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003E\u003Ca href=\"https://docs.snowflake.com/en/guides-overview-govern\"\u003EData Governance Policies\u003C/a\u003E and  \u003Ca href=\"https://docs.snowflake.com/en/guides-overview-privacy\"\u003EData Privacy Policies\u003C/a\u003E\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003E\u003Ca href=\"https://docs.snowflake.com/en/user-guide/data-quality-intro\"\u003EData Quality Metrics\u003C/a\u003E\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003E\u003Ca href=\"https://docs.snowflake.com/en/user-guide/data-sharing-policy-protected-data\"\u003ESharing  Data Protected by a Policy\u003C/a\u003E\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003E\u003Ca href=\"https://docs.snowflake.com/en/user-guide/tables-iceberg\"\u003EIceberg Tables in Snowflake\u003C/a\u003E\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003E\u003Ca href=\"https://docs.snowflake.com/en/developer-guide/native-apps/publish-guidelines#best-practices-when-publishing-a-native-app\"\u003EBest Practices publishing a Snowflake Native App\u003C/a\u003E\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003E\u003Ca href=\"https://docs.snowflake.com/en/user-guide/unstructured-data-sharing\"\u003ESharing Unstructured Data\u003C/a\u003E\u003C/p\u003E\n\u003C/li\u003E\u003C/ul\u003E"],"description":"explore Horizon Collaboration pillar features for sharing of data and apps","title":"Explore Cross-Cloud Sharing of Data and Applications with Private Listings","isDeveloperGuidesPage":false,":type":"snowflake-site/components/contentfragment",":items":{},":itemsOrder":[],"elements":{"quickstartArticleBody":{"dataType":"string","title":"Quickstart Article Body","value":"\u003C!-- ------------------------ --\u003E\n## Overview\n\n\nSharing information between departments, business units and subsidiaries of a company is critical for success, particularly when there are organizational silos in place. A modern data platform must provide decentralized ownership, universal discovery, access control, federated governance, and observability.\n\n**Snowflake Horizon Catalog** is a connected catalog for your entire data estate. It allows customers to interoperate more easily across table formats, engines & catalogs. Horizon allows you to manage metadata for all your data & AI assets in one place for easy data discovery and collaboration. \n\n![Snowflake Horizon Diagram](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/horizon-catalog.jpg)\n\nThis Quickstart is focused on the `Horizon Collaboration` and `Horizon Discovery` pillars.\n\nThe objective of the Collaboration and Discovery pillars are to make it simple to share, discover, understand/build trust and access listings across any boundary, internal or external to the organization, and to make loose objects discoverable across account boundaries within an organization, supported by the tools necessary to ensure policy compliance, security, and data quality.\n\nIn this lab you will experience the latest Snowflake Horizon Collaboration and Discovery features for sharing data and native apps intra-company: private listings, unified search & discovery, data quality monitoring, role-based governance policies and programmatic management of data products. We will cover structured and unstructured data that is stored on-platform or on external storage.\n\n\n### What You’ll Learn\n\n- How to blend TastyBytes Point-of-Sale and Marketplace Weather data to build analytics data products, then publish Listings targeted at accounts in your company\n- How to configure data privacy polices that are preserved in the consumer accounts that install the listings. Tag-based column masking, row-access, aggregation and projection policies will be created with database roles.\n- How to setup Data Metrics Functions to monitor data quality of the shared data products\n- How to share Iceberg Tables within a cloud region\n- How to share a native application with Streamlit visualization\n- How to share unstructured text files cross-cloud and process with Cortex LLM functions\n\u003C!--\n- How to use Universal Search and Snowflake Copilot to explore data from all sources\n--\u003E\n\n### What You’ll Need\n\n- Basic knowledge of SQL, Database Concepts, Snowflake [Listings](https://other-docs.snowflake.com/en/collaboration/collaboration-listings-about)\n- Familiarity with [Snowsight Worksheets](https://docs.snowflake.com/en/user-guide/ui-snowsight-worksheets-gs)\n\n### What You’ll Build\n\n- Analytics data products for TastyBytes, that models a global food truck network with localized menu options in 15 countries, 30 major cities and 15 core brands\n- Listings comprised of metadata, data and application code, targeted at accounts in the same organization but in different cloud regions\n- Governance policies based on shared role-based-access-controls that are enforced at the target account consuming the listing\n- Install listings containing Iceberg Tables, then blend with local datasets to derive insights\n\u003C!--\n- Exploration of all shared and local data with Universal Search and Copilot\n--\u003E\n\n### Prerequisites\n\n#### Create 3 Snowflake Trial Accounts in the same Snowflake Organization\n\nSignup for an AWS trial account [here](https://signup.snowflake.com/?utm_source=snowflake-devrel&utm_medium=developer-guides&utm_cta=developer-guides)\n\n- Choose **AWS** as cloud provider, **Business Critical** edition, **AWS_US_WEST_2 (Oregon)** region\n- Activate trial account with admin user `horizonadmin`\n  - admin user has system roles: ACCOUNTADMIN, ORGADMIN, SYSADMIN\n- Login and create a SQL Worksheet named _**Account Setup**_\n\n\u003Cins\u003ENote:\u003C/ins\u003E alternatively you _can_ use an existing account instead of a trial account, provided that account has the `ORGADMIN` system role enabled.\n\n- Create user `horizonadmin`, grant it ACCOUNTADMIN and ORGADMIN roles.\n\nExecute the following SQL commands in the _**Account Setup**_ worksheet to bootstrap:\n\n```sql\nUSE ROLE accountadmin;\nSET my_user_var = CURRENT_USER();\nALTER USER identifier($my_user_var) SET DEFAULT_ROLE = accountadmin;\nCREATE OR REPLACE WAREHOUSE compute_wh WAREHOUSE_SIZE=small INITIALLY_SUSPENDED=TRUE;\nGRANT ALL ON WAREHOUSE compute_wh TO ROLE public;\nCREATE DATABASE IF NOT EXISTS snowflake_sample_data FROM SHARE sfc_samples.sample_data;\nGRANT IMPORTED PRIVILEGES ON DATABASE snowflake_sample_data TO public;\n\n-- Create an AWS Consumer account\nUSE ROLE orgadmin;\nCREATE ACCOUNT horizon_lab_aws_consumer\n  admin_name = horizonadmin\n  admin_password = 'FILL_IN_PASSWORD'\n  email = 'FILL_IN_EMAIL'\n  must_change_password = false\n  edition = business_critical\n  region = AWS_US_WEST_2;\n \n-- Create an Azure Consumer account\nCREATE ACCOUNT horizon_lab_azure_consumer\n  admin_name = horizonadmin\n  admin_password = 'FILL_IN_PASSWORD'\n  email = 'FILL_IN_EMAIL'\n  must_change_password = false\n  edition = business_critical\n  region = AZURE_WESTEUROPE;\n\n-- Verify that all three accounts are now created. Also, get the URLs\n-- from the column account_url to log in to your consumer accounts later\nSHOW ORGANIZATION ACCOUNTS;\n\n-- Enable the ACCOUNTADMIN role on this account to enable global auto-fulfillment\nUSE ROLE orgadmin;\nSELECT current_account_name();\nSELECT SYSTEM$ENABLE_GLOBAL_DATA_SHARING_FOR_ACCOUNT('!FILL IN CURRENT_ACCOUNT_NAME()!');\n\n-- PLEASE NOTE DOWN: \"orgname-accountname\" is the account format needed to add a connection to the Snowflake CLI\nSELECT current_organization_name() || '-' || current_account_name();\n```\n\nLogin to the **HORIZON_LAB_AWS_CONSUMER** and **HORIZON_LAB_AZURE_CONSUMER** accounts as `horizonadmin` and run the following in a worksheet in each of the two accounts:\n\n```sql\nUSE ROLE accountadmin;\nSET my_user_var = CURRENT_USER();\nALTER USER identifier($my_user_var) SET DEFAULT_ROLE = accountadmin;\nCREATE OR REPLACE WAREHOUSE compute_wh WAREHOUSE_SIZE=medium INITIALLY_SUSPENDED=TRUE;\nGRANT ALL ON WAREHOUSE compute_wh TO ROLE public;\nCREATE DATABASE IF NOT EXISTS snowflake_sample_data FROM SHARE sfc_samples.sample_data;\nGRANT IMPORTED PRIVILEGES ON DATABASE snowflake_sample_data TO public;\n \nUSE ROLE useradmin;\nCREATE OR REPLACE ROLE sales_emea_role\n      COMMENT = 'EMEA Sales role for Tasty Bytes';\n\nCREATE OR REPLACE ROLE sales_americas_role\n      COMMENT = 'Americas Sales role for Tasty Bytes';\n\nCREATE OR REPLACE ROLE sales_apj_role\n      COMMENT = 'APJ Sales role for Tasty Bytes';\n\nCREATE OR REPLACE ROLE sales_manager_role\n      COMMENT = 'Sales Manager (all-access) role for Tasty Bytes';\n\n-- grant all these roles to the login user\nGRANT ROLE sales_emea_role TO USER identifier($my_user_var);\nGRANT ROLE sales_americas_role TO USER identifier($my_user_var);\nGRANT ROLE sales_apj_role TO USER identifier($my_user_var);\nGRANT ROLE sales_manager_role TO USER identifier($my_user_var);\n\nSHOW ROLES;\n```\n\n#### Install Snowflake CLI and configure Connections to Snowflake accounts\n\n- Install Python (3.8 or higher): `python --version`\n  - [Homebrew](https://brew.sh/) makes it simple to install python\n    - `% brew install python`\n    - (optional): `% sudo ln -s /usr/bin/python3 /usr/local/bin/python`\n- Install [pipx](https://pipx.pypa.io/stable/installation/) or [pip](https://macpaw.com/how-to/install-pip-mac)\n  (MacOS)\n  - `% brew install pipx`\n  - `% pipx ensurepath`\n  - exit and open a new Terminal so path takes effect\n- Install [Snowflake CLI](https://docs.snowflake.com/en/developer-guide/snowflake-cli-v2/installation/installation#label-snowcli-install-pipx)\n\n  Create CLI connections to the 3 accounts using [snow connection add](https://docs.snowflake.com/en/developer-guide/snowflake-cli-v2/connecting/specify-credentials#how-to-add-credentials-using-a-sf-cli-connection-command):\n\n- use connection names: `horizon-aws-provider, horizon-aws-consumer, horizon-azure-consumer`\n- Snowflake CLI expects the account format **orgname-accountname**\n  - `SELECT current_organization_name() || '-' || current_account_name();`\n- enter password when prompted, just hit _**return**_ for the remaining prompts\n  \n```bash\nsnow connection add -n horizon-aws-provider -a [orgname]-[provider_accountname] -u horizonadmin -r accountadmin -w compute_wh\nsnow connection add -n horizon-aws-consumer -a [orgname]-horizon_lab_aws_consumer -u horizonadmin -r accountadmin -w compute_wh\nsnow connection add -n horizon-azure-consumer -a [orgname]-horizon_lab_azure_consumer -u horizonadmin -r accountadmin -w compute_wh\nsnow connection set-default \"horizon-aws-provider\"\nsnow connection test --connection horizon-aws-provider\nsnow connection test --connection horizon-aws-consumer\nsnow connection test --connection horizon-azure-consumer\n\n# list all connections and check that default is horizon-aws-provider\nsnow connection list\n\n# you can also manually edit the config.toml file to remove or modify connections\nsnow --info\n```\n\n\u003C!-- ------------------------ --\u003E\n## Citations and Terms of Use\n\n\nRaw text data provided for this lab is an extract from the [IMDB Large Movie Review Dataset](https://ai.stanford.edu/~amaas/data/sentiment/)\n\nUse of this dataset requires that we cite this ACL 2011 paper by Andrew Maas, et al:\n@InProceedings{maas-EtAl:2011:ACL-HLT2011,\n  author    = {Maas, Andrew L.  and  Daly, Raymond E.  and  Pham, Peter T.  and  Huang, Dan  and  Ng, Andrew Y.  and  Potts, Christopher},\n  title     = {Learning Word Vectors for Sentiment Analysis},\n  booktitle = {Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies},\n  month     = {June},\n  year      = {2011},\n  address   = {Portland, Oregon, USA},\n  publisher = {Association for Computational Linguistics},\n  pages     = {142--150},\n  url       = {\u003Chttp://www.aclweb.org/anthology/P11-1015}\u003E\n}\n\n[Weather Source LLC: frostbyte](https://app.snowflake.com/marketplace/listing/GZSOZ1LLEL/weather-source-llc-weather-source-llc-frostbyte) Marketplace listing requires accepting terms of use by the Provider and Snowflake.\n\n\u003C!-- ------------------------ --\u003E\n## Horizon AWS Provider Account Setup\n\n\nClone our [Horizon Quickstart Scripts](https://github.com/Snowflake-Labs/sfguide-horizon-intra-organization-sharing) repository to your local machine with `git`:\n\n```bash\nmkdir ~/snowflakelabs\ncd ~/snowflakelabs\ngit clone git@github.com:Snowflake-Labs/sfguide-horizon-intra-organization-sharing.git horizon-intra-org-scripts\ncd horizon-intra-org-scripts\n```\n\nIf you prefer not to use git, `Download ZIP` from the Lab Scripts [github site](https://github.com/Snowflake-Labs/sfguide-horizon-intra-organization-sharing)\n![assets/code-download.jpg](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/code-download.jpg)\n\nLoad the SQL scripts in the `code/sql` directory into [Snowsight Worksheets](https://docs.snowflake.com/en/user-guide/ui-snowsight-worksheets-gs#create-worksheets-in-sf-web-interface) - one script per worksheet\n\n![Create Worksheet](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/002_load_SQL_scripts_to_worksheets.png)\n\n### Execute Setup SQL Scripts\n\n1. `100_Setup_Data_Model`: create the TastyBytes foundational data model.\n[TastyBytes](/en/developers/guides/tasty-bytes-introduction/) is a fictitious global food truck network that operates in 30 major cities located in 15 countries with localized menu options and brands. The single `Frostbytes_Tasty_Bytes` is organized in the following schemas:\n\n- `RAW_CUSTOMER`: raw customer loyalty data with personally identifiable information (PII)\n- `RAW_POS`: raw point-of-sale data denormalized by orders, menu, franchise and country\n- `HARMONIZED`: blended metrics for customers and orders\n- `ANALYTICS`: analytic data that delivers insights for aggregate trends and drill down\nb\nUse the **Run All** pulldown command to run `100_Setup_Data_Model`:\n\n![Run All in Worksheet](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/003_Run_All.png)\n\n2. `200_Setup_Data_Products`: build data assets to share in a Listing.\n\nIn step 1(a) of thescript `200_Setup_Data_Products` you will acquire the **Weather Source LLC** listing from the Marketplace and install it as a shared database `FROSTBYTE_WEATHERSOURCE`.\n\n```sql\n-- Step 1(a) - Acquire \"Weather Source LLC: frostbyte\" Snowflake Marketplace Listing\n\n/*--- \n    1. Click -\u003E Data Products (Cloud Icon in left sidebar)\n    2. Click -\u003E Marketplace\n    3. Search -\u003E frostbyte\n    4. Click -\u003E Weather Source LLC: frostbyte\n    5. Click -\u003E Get\n    6. Click -\u003E Options\n    6. Database Name -\u003E FROSTBYTE_WEATHERSOURCE (all capital letters)\n    7. \"Which roles, in addition to ACCOUNTADMIN, can access this database?\" -\u003E PUBLIC\n    8. Click -\u003E Get\n---*/\n```\n\n![006_WeatherSource](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/006_WeatherSource.png)\n\nThen proceed to execute all remaining steps in this script. This will create secure views, materialized views, functions and dynamic tables in the ANALYTICS schema, and an internal stage for sharing text data.\n\nCheck out all the new objects created in the ANALYTICS and HARMONIZED schemas in the Snowsight Object Explorer panel. You will later create a Listing to share all of these objects.\n\n![Database-Explorer](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/004_Database_Explorer.png)\n\n### Upload Unstructured Data into an Internal Stage\n\nWe have extracted 100 text files from the IMDB Large Movie Review dataset into the repo, that was cloned to your local machine earlier.\n\nNow we can copy those text files into the internal stage `movie_stage` that was created by the SQL setup scripts.\nRun the snow CLI commands at the root of your repo, where the `git clone` was done.\n\n```bash\ncd ~/git_repos/sfguide-horizon-intra-org\nsnow stage copy data/imdb_reviews @frostbyte_tasty_bytes.movie_reviews.movie_stage\n\n# verify that there are now 100 files in the stage\nsnow stage list-files @frostbyte_tasty_bytes.movie_reviews.movie_stage\n```\n\nSetup is now complete!\n\n\u003C!-- ------------------------ --\u003E\n## Publish a Data Listing\n\n\nIn this section you will create, publish, consume, alter, and monitor a [listing](https://other-docs.snowflake.com/en/collaboration/collaboration-listings-about).\n\n### Build and Publish a Listing in the Provider Studio UI\n1. Navigate to the Provider Studio and click the +Listing button in the top right:\n\n    ![ProviderStudio](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/101_ProviderStudio+Listing.png)\n\n2. Give your listing a meaningful title. Let's use TASTY_BYTES_ANALYTICS in this lab. Then select the option that \"Only Specified Consumers\" can discover the listing, and click \"Next\".\n\n    ![102_CreateListing](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/102_CreateListing.png)\n\n3. Click \"+ Select\" and add the secure functions, the dynamic table, and all the secure views in the ANALYTICS and HARMONIZED schemas to this listing.\n\n    ![103_CreateListing_SelectObjects](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/103_CreateListing_SelectObjects.png)\n\n4. Continue the listing specification:\n\n    - Add a description to document your listing.\n      - For example: \"This listing shares the Tasty Bytes Analytics and Harmonized data objects, including views, functions, and a dynamic table that provide a wealth of useful information.\"\n\n    - Add your two secondary accounts for this lab (one on AWS and one on Azure) as consumer accounts for this listing. Specify each consumer account as ```org-name.account-name```, which you can obtain as follows:\n\n    ```sql\n    select current_organization_name() ||'.'||  current_account_name();\n    ```\n\n    - Further down in the same dialog, enter your email address to receive notifications about this listing.\n    - Click \"SAVE & ADD MORE INFORMATION\" to add even more metdata to your listing.\n\n    ![104_CreateListing_AddConsumers](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/104_CreateListing_AddConsumers.png)\n\n5. You are now looking at your draft listing. Scroll down and add all optional information items to your listing.\n\n    ![105_CreateListing_OptionalInformation](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/105_CreateListing_OptionalInformation.png)\n\n    This will add additional sections to your listing.\n\n    Click the ADD button in each of these sections to configure the data dictionary and to add business needs, sample queries, and attributes:\n\n    - Configuring the data dictionary allows you to select \"featured\" objects that consumers will see first in the dictionary.\n    - Select the views CUSTOMER_LOYALTY_METRICS_V and ORDERS_BY_POSTAL_CODE_V as well as the function FAHRENHEIT_TO_CELSIUS as featured objects.\n    - You can grab some sample queries from the script 1000_Consumer_Queries.sql\n    - Attributes allow you to specify service level objectives such as how often you intend to update the data product or other properties.\n\n    ![106_CreateListing_OptionalInfo_Part2](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/106_CreateListing_OptionalInfo_Part2.png)\n\n6. In your draft listing, navigate to the section \"Consumer Accounts\". Click the three dots on the right to update the refresh frequency of the replica that Snowflake will automatiucally create to share the data product with your Azure account.\n\n    - For the purpose of this lab, set the replication frequency to 1 minute.\n\n    ![107_CreateListing_ReplicationFrequency](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/107_CreateListing_ReplicationFrequency.png)\n\n7. Publish your listing.\n\n    - You can preview your draft listing at any time.\n    - When done, click the blue \"Publish Listing\" button in the top right corner.\n\n### Install the Listing in your Consumer Accounts\n\n1. Switch to Consumer Account: Horizon_Lab_Azure_Consumer\n\n    - In a different tab of your web browser login to your account \"horizon_lab_azure_consumer\" that you created in the Azure West Europe Region.\n    - Use the menu in the bottom left of the UI to switch to the ACCOUNTADMIN role.\n    - Navigate to \"Data Products\" and then \"Private Sharing\" in the left hand menu panel.\n    - You will now see the listing that has been shared with this account.\n    - Click the listing name (not the Get button) to open and examine the listing details. For example, explore the data dictionary for the views and functions.\n\n    ![201_Consumer_DiscoverListing](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/201_Consumer_DiscoverListing.png)\n\n2. After reviewing the listing, click the GET button.\n\n    - You may be asked for your name & email address if this is the first time a listing is being consumed in this Snowflake  account. Do provide this information, then go to your Email Inbox and validate the email that was sent.\n    - After you click the GET button Snowflake performs a one-time setup of the replication process ([auto-fulfillment](https://other-docs.snowflake.com/en/collaboration/provider-listings-auto-fulfillment)) to the local region.\n    - You may have to wait for several minutes for this one-time setup to complete. Click OK. We will check back later.\n\n    ![202_Consumer_WaitForReplica](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/202_Consumer_WaitForReplica.png)\n\n3. Switch to Consumer Account: Horizon_Lab_AWS_Consumer\n\n    - In yet another tab of your web browser login to your account \"horizon_lab_aws_consumer\".\n    - Use the menu in the bottom left to switch to the ACCOUNTADMIN role.\n    - Navigate to \"Data Products\" and then \"Private Sharing\".\n    - Click the listing name (not the Get button) to open and examine the listing details.\n\n4. After reviewing the listing, click the GET button.\n\n    - Again, you may be asked to provide and validate your email address.\n    - After you click the GET button you can immediately mount the shared data product. There is no replication setup in this case since the provider account is in the same cloud region as this consumer account.\n    - Under \"Options\" leave the local database name as is (it should be TASTY_BYTES_ANALYTICS), and select SALES_MANAGER_ROLE as an additional role to have immediate access to the data product.\n    - Click GET to confirm\n\n    ![203_Consumer_GET](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/203_Consumer_GET.png)\n\n    You can now use a worksheet or the database explorer to examine the shared data as a consumer.\n\n5. Observe live data sharing in action\n\n    - Switch to the **AWS Provider** account where you published the listing\n    - Insert or update some of the source data. You can use the following statement which uses [a very cool SQL feature](https://docs.snowflake.com/en/sql-reference/sql/select#label-select-cmd-examples-select-all-in-table-replace) to modify the columns produced by ```SELECT *```.  \n      - The syntax ```SELECT * REPLACE (\u003Cexpression\u003E AS \u003Ccolumn_name\u003E)``` returns all columns but replaces the column ```\u003Ccolumn_name\u003E``` with the ```\u003Cexpression\u003E```.\n\n    ```sql\n    -- re-insert existing data for Berlin but give it today's date as the valid date \n    INSERT INTO FROSTBYTE_TASTY_BYTES.WEATHER.HISTORY_DAY\n      SELECT * REPLACE  (current_date AS DATE_VALID_STD) \n      FROM FROSTBYTE_TASTY_BYTES.WEATHER.HISTORY_DAY\n      WHERE city_name = 'Berlin'\n      ORDER BY date_valid_std DESC;\n      ```\n\n    - Switch back to your **Horizon_Lab_AWS_Consumer** account to see that the data changes are instantly visible. For example:\n\n    ```sql\n    SELECT *\n    FROM tasty_bytes_analytics.HARMONIZED.DAILY_WEATHER_V\n    WHERE city_name = 'Berlin'\n    ORDER BY date_valid_std DESC;\n    ```\n\n## Listing Management and Monitoring\n\n\n### Use the Listing API to modify listing properties programmatically\n\n1. [SHOW LISTINGS](https://other-docs.snowflake.com/en/sql-reference/sql/show-listings) in the AWS Provider account where you published the listing.\n\n    ![301_Provider_API_Show](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/301_Provider_API_Show.png)\n\n2. Copy the Snowflake object name of your listing and use it in the subsequent [DESCRIBE LISTING](https://other-docs.snowflake.com/en/sql-reference/sql/desc-listing) command.\n\n    - Note: If that listing name contains special characters other than the underscore, then the name must be in double quotes and is case-sensitive.\n\n3. In the result of DESCRIBE LISTING, scroll to the right to the column [MANIFEST_YAML](https://other-docs.snowflake.com/en/progaccess/listing-manifest-reference) and copy its column value. This YAML file is a complete representation of the listing and enables programmatic management of listings.\n\n    ![302_Provider_API_Describe](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/302_Provider_API_Describe.png)\n\n4. Paste the copied YAML into an [ALTER LISTING](https://other-docs.snowflake.com/en/sql-reference/sql/alter-listing) statement using the listing name obtained in step 2 above (Show Listing).\n\n    - Make some changes in the YAML that you can easily verify in the UI and on the consumer side. For example, update the title and the first line of the description.\n    - Execute the ALTER LISTING statement.\n\n    ![303_Provider_API_AlterListing](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/303_Provider_API_AlterListing.png)\n\n5. Verify the immediate effect of the ALTER LISTING statement\n\n    - In the provider account, navigate to the Provider Studio, select \"Listings\" from the horizontal menu at the top, and open your listing.\n\n    ![304_Provider_Studio](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/304_Provider_Studio.png)\n\n    - Switch to your consumer account Horizon_Lab_AWS_Consumer.\n    - Navigate to \"Data Products\", then \"Private Sharing\", and open the listing page again. Refresh if needed to see the changes from the ALTER LISTING statement.\n\n### Monitor Auto Fulfillment status and cost\n\nTime to revisit the second consumer account (\"horizon_lab_azure_consumer\") and the replication into that Azure region. By now, the one-time replication setup has been completed in the background and the data product is now ready to use.\n\n1. Switch to the account \"horizon_lab_azure_consumer\" as ACCOUNTADMIN, and navigate to \"Private Sharing\" to open the listing that has been shared.\n\n2. Click the GET button to mount the data product locally, as you did in the \"horizon_lab_aws_consumer\" account.\n\n3. Switch to the AWS Provider account and take the following steps to monitor replication status and cost.\n\n4. Navigate to the \"Provider Studio\", select \"Listings\" from the horizontal menu at the top, and open your listing.\n\n5. On the listings page, scoll down to \"Consumer Account\", click on the 3 dots, and select \"Manage Regions & Replication\"\n\n6. Select the \"Azure West Europe Region\" to see the timestamp of the latest refresh to that region.\n\n    ![400_MonitorReplicationStatus](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/400_MonitorReplicationStatus.png)\n\n7. Go back to the Provider Studio, select \"Analytics\" from the horizontal menu at the top. This is where summarized and detailed statistics about the usage of the listings will be displayed eventually. There is some delay in populating these statistics, but the following screenshots give you an idea of what you will see.\n\n    ![401_Provider_Dashboard](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/401_Provider_Dashboard.png)\n\n    The same information as well as replication details can also be obtained from various views in the schema [SNOWFLAKE.DATA_SHARING_USAGE](https://docs.snowflake.com/en/sql-reference/data-sharing-usage) and [SNOWFLAKE.ORGANIZATION_USAGE](https://docs.snowflake.com/en/sql-reference/organization-usage):\n\n    ```sql\n    use database SNOWFLAKE;\n\n    select * from DATA_SHARING_USAGE.LISTING_ACCESS_HISTORY;\n\n    select * from DATA_SHARING_USAGE.LISTING_AUTO_FULFILLMENT_DATABASE_STORAGE_DAILY;\n\n    select * from DATA_SHARING_USAGE.LISTING_AUTO_FULFILLMENT_REFRESH_DAILY;\n\n    select * from DATA_SHARING_USAGE.LISTING_EVENTS_DAILY;\n\n    select * from DATA_SHARING_USAGE.LISTING_TELEMETRY_DAILY;\n\n    select * from ORGANIZATION_USAGE.LISTING_AUTO_FULFILLMENT_USAGE_HISTORY;\n\n    select * from ORGANIZATION_USAGE.REPLICATION_USAGE_HISTORY;\n    ```\n\n8. The [replication cost](https://other-docs.snowflake.com/en/collaboration/provider-understand-cost-auto-fulfillment) can also be monitored in the UI. Navigate to the \"Admin\" menu in the left-hand panel, then to \"Cost Management\" and \"Consumption\". Switch the filter from \"All Services\" to \"Cross-Cloud Auto-Fulfillment\". Here is an example from a different test replicating a listing to the region Azure UK South:\n\n    ![402_Provider_LAF_Cost_Compute](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/402_Provider_LAF_Cost_Compute.png)\n\n    Additional filters enable you to select a time period, pick a specific target region, or toggle between compute cost, storage cost, and data transfer volume incurred by the listing auto-fulfillment.\n\n    ![403_Provider_LAF_DataTransfer](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/403_Provider_LAF_DataTransfer.png)\n\n    ![404_Provider_LAF_DataTransfer_Details](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/404_Provider_LAF_DataTransfer_Details.png)\n\n### Enable and Consume Change Tracking\n\nThe provider of a listing can choose to enable [change tracking](https://docs.snowflake.com/en/user-guide/streams) on the some or all of the tables or views that are shared in a listing. This enables the consumer to track the data changes. Let's do that with the view DAILY_WEATHER_V:\n\n```sql\n-- in the provider account:\nALTER VIEW FROSTBYTE_TASTY_BYTES.HARMONIZED.DAILY_WEATHER_V \n      SET CHANGE_TRACKING = TRUE;\n```\n\nThe consumer can now [define a Stream](https://docs.snowflake.com/en/sql-reference/sql/create-stream) to capture the data changes in this view:\n\n```sql\n-- in the consumer account:\nCREATE DATABASE tasty_bytes_local;\nUSE DATABASE tasty_bytes_local;\n\nCREATE STREAM stream_daily_weather_changes ON VIEW tasty_bytes_analytics.HARMONIZED.DAILY_WEATHER_V;\n```\n\nTo see the change tracking in action you can now insert, update, or delete some of the weather related data in the AWS Provider account. For example:\n\n```sql\n-- in the provider account:\nINSERT INTO FROSTBYTE_TASTY_BYTES.WEATHER.HISTORY_DAY\n  SELECT * REPLACE  (current_date AS DATE_VALID_STD) \n  FROM FROSTBYTE_TASTY_BYTES.WEATHER.HISTORY_DAY\n  WHERE city_name = 'San Mateo'\n  ORDER BY date_valid_std DESC;\n  ```\n\nNow switch to the consumer account and query the stream:\n\n```sql\n-- in the consumer account:\nUSE DATABASE tasty_bytes_local;\n\nSELECT METADATA$ACTION, METADATA$ISUPDATE, * \nFROM stream_daily_weather_changes;\n```\n\n\u003C!-- ------------------------ --\u003E\n## Protect Data with Governance Policies\n\n\nThis section of the lab introduces several capabilities for data providers to restrict the usage of their products by consumers.\n\n### Cross-Account Row-Level Access Policies\n\nFrosty the data steward is concerned that our listing that we have shared includes the view ANALYTICS.CUSTOMER_LOYALTY_METRICS_V which contains sensitive information that must not be accessible to all data consumers. He requests the following restrictions:\n\n![500_DataSteward_1](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/500_DataSteward_1.png)\n\nLet's implement a [row-level access policy](https://docs.snowflake.com/en/user-guide/security-row-intro) to implement the required access control. Note the usage of the context function **current_account_name()** to detect which consumer account is accessing the shared view.\n\n**Fill in AWS Provider Account Name below**\n\n```sql\nuse database frostbyte_tasty_bytes;\nuse schema analytics;\n\nCREATE OR REPLACE ROW ACCESS POLICY country_filter AS (country string) \nRETURNS boolean -\u003E\n  CASE\n    WHEN current_account_name() IN ('HORIZON_LAB_AWS_CONSUMER') \n      AND country               IN ('United States', 'Canada') \n      THEN true\n    WHEN current_account_name() IN ('HORIZON_LAB_AZURE_CONSUMER')        \n      AND country               IN ('France', 'Germany', 'Poland', 'Sweden', 'Spain') \n      THEN true\n    WHEN current_account_name() IN ('*** FILL IN AWS Provider Account Name ***')\n      THEN true\n      ELSE false\n  END;\n  ```\n\nThen apply the policy to the shared view:\n\n```sql\nALTER VIEW CUSTOMER_LOYALTY_METRICS_V ADD ROW ACCESS POLICY country_filter ON (country);\n```\n\nNow switch to the consumer account HORIZON_LAB_AWS_CONSUMER to confirm that only US and Canadian client data is visible in the view ANALYTICS.CUSTOMER_LOYALTY_METRICS_V.\n\nAfter the replication interval of 1 minute you will also see that the consumer account HORIZON_LAB_AZURE_CONSUMER can only see the Eurpean clients.\n\n### Cross-Account Column Masking\n\nBut, Frosty the data steward is not yet satisfied:\n\n![501_DataSteward_2](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/501_DataSteward_2.png)\n\nOk, let's get to work.\n\nTo make things easy, let's first create a tag that you can use to indicate which columns contain PII data.\n\n```sql\nCREATE SCHEMA IF NOT EXISTS tags;\n\nCREATE OR REPLACE TAG tags.tasty_pii\n    ALLOWED_VALUES 'NAME', 'PHONE_NUMBER', 'EMAIL', 'BIRTHDAY'\n    COMMENT = 'Tag for PII, allowed values are: NAME, PHONE_NUMBER, EMAIL, BIRTHDAY';\n```\n\nWith the tag created, let's assign it to the relevant columns in the Customer Loyalty view:\n\n```sql\nALTER VIEW ANALYTICS.CUSTOMER_LOYALTY_METRICS_V\n    MODIFY COLUMN \n    first_name    SET TAG tags.tasty_pii = 'NAME',\n    last_name     SET TAG tags.tasty_pii = 'NAME',\n    phone_number  SET TAG tags.tasty_pii = 'PHONE_NUMBER',\n    e_mail        SET TAG tags.tasty_pii = 'EMAIL';\n```\n\nOptionally, you can also use the UI to add or see the tags on these columns:\n\n![502_AddTags](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/502_AddTags.png)\n\nNow let's create a slightly more advanced [policy to mask the PII columns depending on their tag](https://docs.snowflake.com/en/user-guide/tag-based-masking-policies) value and the consmer account:\n\n**Fill in AWS Provider Account Name below**\n\n```sql\nCREATE OR REPLACE MASKING POLICY pii_string_mask AS (value STRING) RETURNS STRING -\u003E\n  CASE\n    -- two roles in the provider account have access to unmasked values \n    WHEN CURRENT_ACCOUNT_NAME() IN ('*** FILL IN AWS Provider Account Name ***') \n    AND CURRENT_ROLE()          IN ('ACCOUNTADMIN','SYSADMIN')\n    THEN value\n\n    -- For consumers in the 2nd AWS account: if a column is tagged with \n    -- TASTY_PII=PHONE_NUMBER then mask everything except the first 3 digits   \n    WHEN CURRENT_ACCOUNT_NAME() IN ('HORIZON_LAB_AWS_CONSUMER') \n    AND SYSTEM$GET_TAG_ON_CURRENT_COLUMN('TAGS.TASTY_PII') = 'PHONE_NUMBER'\n    THEN CONCAT(LEFT(value,3), '-***-****')\n        \n    -- For consumers in the Azure account: if a column is tagged with  \n    -- TASTY_PII=EMAIL then mask everything before the @ sign  \n    WHEN CURRENT_ACCOUNT_NAME() IN ('HORIZON_LAB_AZURE_CONSUMER') \n    AND SYSTEM$GET_TAG_ON_CURRENT_COLUMN('TAGS.TASTY_PII') = 'EMAIL'\n    THEN CONCAT('**~MASKED~**','@', SPLIT_PART(value, '@', -1))\n        \n    -- all other cases and columns, such as first and last name, should be fully masked   \n    ELSE '**~MASKED~**' \n  END;\n```\n\nNext, apply the policy to the tag so that the policy takes effect on all tages columns:\n\n```sql\nALTER TAG tags.tasty_pii SET MASKING POLICY pii_string_mask;\n```\n\nNow switch to the consumer account HORIZON_LAB_AWS_CONSUMER and look at the view CUSTOMER_LOYALTY_METRICS_V to confirm that phone numbers are partially masked while the other PII columns are fully masked.\n\nAfter the replication interval of 1 minute you will see in the account HORIZON_LAB_AZURE_CONSUMER that emails are partially masked while phone numbers and names are fully masked.  \n\n### Database Roles - Provider Side\n\nJust when we thought we had all the necessary governance controls in place, Frosty has a new requirement for us.\n\n![503_DataSteward_3](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/503_DataSteward_3.png)\n\nSo far we have been using the context function **CURRENT_ACCOUNT_NAME()** in our governance policies to control which consumer account can see which data. Now Frosty is telling us, that this needs to be more fine-grained down to indivudal roles on the consumer side.\n\nWe will be using roles and [database roles](https://docs.snowflake.com/en/sql-reference/sql/create-database-role) for 3 different continents. Let's check that we have the correct roles in place.\n\nOn the AWS Provider account, use **show database roles** to confirm that you have 4 database roles in place. Else create them now.\n\n```sql\nshow database roles in database FROSTBYTE_TASTY_BYTES;\n\nUSE DATABASE frostbyte_tasty_bytes;\nCREATE OR REPLACE DATABASE ROLE tastybytes_emea_role;\nCREATE OR REPLACE DATABASE ROLE tastybytes_americas_role;\nCREATE OR REPLACE DATABASE ROLE tastybytes_apj_role;\nCREATE OR REPLACE DATABASE ROLE tastybytes_manager_role;\n```\n\nWe can use these roles to define more granular and role-based access control for the data consumers. First, we need to give these roles access to the providers's schema and objects that we want to govern, in this case ANALYTICS.CUSTOMER_LOYALTY_METRICS_V:\n\n```sql\nuse database FROSTBYTE_TASTY_BYTES;\n\ngrant usage  on schema ANALYTICS to database role tastybytes_emea_role;\ngrant usage  on schema ANALYTICS to database role tastybytes_americas_role;\ngrant usage  on schema ANALYTICS to database role tastybytes_apj_role;\ngrant usage  on schema ANALYTICS to database role tastybytes_manager_role;\n\ngrant select on view ANALYTICS.CUSTOMER_LOYALTY_METRICS_V \n             to database role tastybytes_emea_role; \ngrant select on view  ANALYTICS.CUSTOMER_LOYALTY_METRICS_V \n             to database role tastybytes_americas_role; \ngrant select on view  ANALYTICS.CUSTOMER_LOYALTY_METRICS_V \n             to database role tastybytes_apj_role; \ngrant select on view  ANALYTICS.CUSTOMER_LOYALTY_METRICS_V \n             to database role tastybytes_manager_role; \n```\n\nNext, use the context function [**IS_DATABASE_ROLE_IN_SESSION()**](https://docs.snowflake.com/en/sql-reference/functions/is_database_role_in_session) to recreate our row-level access policy to define which role can see customer loyality data from which country.\n\n**Fill in Provider Account Name in the last WHEN clause of the policy below**\n\n```sql\nuse database frostbyte_tasty_bytes;\nuse schema analytics;\n\nALTER VIEW CUSTOMER_LOYALTY_METRICS_V DROP ROW ACCESS POLICY country_filter;\n\n-- Fill in Provider Account Name below\n\nCREATE OR REPLACE ROW ACCESS POLICY country_filter AS (country string) \nRETURNS boolean -\u003E\n  CASE\n    -- users with the AMERICAS role can see data from the US, Canada, and Brazil\n    WHEN IS_DATABASE_ROLE_IN_SESSION('TASTYBYTES_AMERICAS_ROLE') \n     AND country IN ('United States', 'Canada', 'Brazil') \n    THEN true\n    -- users with the EMEA role can see data from these EMEA countries\n    WHEN IS_DATABASE_ROLE_IN_SESSION('TASTYBYTES_EMEA_ROLE')         \n     AND country IN ('France', 'Germany', 'Poland', 'Sweden', \n                     'Spain' , 'South Africa', 'Egypt') \n    THEN true\n    -- users with the APJ role can see data from these APJ countries\n    WHEN IS_DATABASE_ROLE_IN_SESSION('TASTYBYTES_APJ_ROLE')         \n     AND country IN ('Japan', 'Australia', 'India', 'South Korea') \n    THEN true\n    -- users with the manager role can see all data\n    WHEN IS_DATABASE_ROLE_IN_SESSION('TASTYBYTES_MANAGER_ROLE')         \n    THEN true\n    -- the account admin in the provider account can see all data\n    WHEN current_account_name() IN ('*** FILL IN AWS Provider Account Name ***') \n     AND current_role() = 'ACCOUNTADMIN'\n    THEN true\n    ELSE false\n  END;\n\nALTER VIEW CUSTOMER_LOYALTY_METRICS_V \n      ADD ROW ACCESS POLICY country_filter ON (country);\n```\n\nFor a larger number of roles and countries you can certainly use a mapping table from role to country so that the policy simply performs a lookup in the mapping table.\n\nThe final step in the provider account is to share the database roles to the consumer accounts along with the data product.  This is achieved by [granting the database roles to the share](https://docs.snowflake.com/en/sql-reference/sql/grant-database-role-share):\n\n```sql\n-- Use your share name in these commands.\n-- See below for hints on how to find your share name.\nGRANT DATABASE ROLE tastybytes_emea_role     TO SHARE \u003Cshare_name\u003E;\nGRANT DATABASE ROLE tastybytes_americas_role TO SHARE \u003Cshare_name\u003E;\nGRANT DATABASE ROLE tastybytes_apj_role      TO SHARE \u003Cshare_name\u003E;\nGRANT DATABASE ROLE tastybytes_manager_role  TO SHARE \u003Cshare_name\u003E;\n```\n\nHere are two options how to find the share name for your listing:\n\n**Option 1:**\n\nIn the provider account, navigate to the Provider Studio, select \"Listings\" from the horizontal menu at the top, and open your listing. In the section \"Data Product\" you find the name of the Secure Share that bundles the shared data objects.\n![602_DMF_AddTableToShare_1](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/602_DMF_AddTableToShare_1.png)\n\n**Option 2:**\n\nUse the SHOW SHARES command:\n\n![504_ShowShares](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/504_ShowShares.png)\n\nCopy the share name to a text file or worksheet because you will need it again later.\n\n### Database Roles - Consumer Side\n\nTo complete the configuration of cross-account role-based access control you need to assign the shared database roles to local account roles in the consumer roles.\n\nSwitch to your consumer accounts.  \n\nIn each of your consumer accounts you should already have the following 4 roles that you created during the account setup. Verify that these roles are in place. Else, create them now.\n\n```sql\nSHOW ROLES LIKE 'SALES%';\n\nCREATE OR REPLACE ROLE sales_emea_role     COMMENT = 'EMEA Sales role';\nCREATE OR REPLACE ROLE sales_americas_role COMMENT = 'Americas Sales role ';\nCREATE OR REPLACE ROLE sales_apj_role      COMMENT = 'APJ Sales role ';\nCREATE OR REPLACE ROLE sales_manager_role  COMMENT = 'Manager (all-access) role';\n```\n\nIn a real-world scenario you would now assign each of these roles to different users. For simplicity in this lab, grant all of these roles to yourself:\n\n```sql\nSET my_user_var  = CURRENT_USER();\nGRANT ROLE sales_emea_role     TO USER identifier($my_user_var);\nGRANT ROLE sales_americas_role TO USER identifier($my_user_var);\nGRANT ROLE sales_apj_role      TO USER identifier($my_user_var);\nGRANT ROLE sales_manager_role  TO USER identifier($my_user_var);\n```\n\nAnd finally, grant the shared database roles to the local account roles. This connects these local consumers roles to the row-access policy that you create on the provider side.\n\n```sql\nuse database TASTY_BYTES_ANALYTICS;\ngrant database role tastybytes_emea_role     to role sales_emea_role; \ngrant database role tastybytes_americas_role to role sales_americas_role;\ngrant database role tastybytes_apj_role      to role sales_apj_role; \ngrant database role tastybytes_manager_role  to role sales_manager_role;\n```\n\nThe following picture illustrates the use of our database roles in this data sharing scenario.\n\n![505_Database_Roles_Sharing](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/505_Database_Roles_Sharing.png)\n\nNow switch to the different local roles (sales_emea_role, sales_apj_role, etc) in each of your consumer accounts to verify that each local role can only see those rows in the CUSTOMER_LOYALTY_METRICS_V view that are permitted by the row-level access policy in the provider account.\n\n### Aggregation and Projection Policies\n\n![550_DataSteward_4](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/550_DataSteward_4.png)\n\nFrosty the data steward has a new requirement for us. In the consumer accounts, only admins and managers may see the detailed per-customer loyalty data. Anyone else may see aggregated data only.\n\nCreate the following [aggregation policy](https://docs.snowflake.com/en/user-guide/aggregation-policies) to implement this requirement:\n\n**Fill in AWS Provider Account Name below**\n\n```sql\nCREATE OR REPLACE AGGREGATION POLICY tasty_aggregation_policy\n  AS () RETURNS AGGREGATION_CONSTRAINT -\u003E\n  CASE\n      WHEN current_account_name() IN ('*** FILL IN AWS Provider Account Name ***') \n       AND current_role() = 'ACCOUNTADMIN'\n      THEN NO_AGGREGATION_CONSTRAINT()\n\n      WHEN IS_DATABASE_ROLE_IN_SESSION('TASTYBYTES_MANAGER_ROLE')\n      THEN NO_AGGREGATION_CONSTRAINT()\n\n      ELSE AGGREGATION_CONSTRAINT(MIN_GROUP_SIZE =\u003E 50) -- at least 50 rows in aggregate\n    END;\n\nALTER VIEW analytics.CUSTOMER_LOYALTY_METRICS_V\n  SET AGGREGATION POLICY tasty_aggregation_policy;\n```\n\nNow switch to your consumer account **horizon_lab_aws_consumer** to verify the effect of the aggregation policy:\n\n```sql\nuse role sales_apj_role;\n-- sales_apj_role gets blocked from accessing any individual records:\nSELECT * FROM analytics.CUSTOMER_LOYALTY_METRICS_V;\n\n-- sales_apj_role can execute aggregation queries:\nSELECT city, count(*) as num_cust_per_city\nFROM analytics.CUSTOMER_LOYALTY_METRICS_V\nGROUP BY city;\n\n-- sales_manager_role is permitted to access  individual records:\nuse role sales_manager_role;\nSELECT * FROM analytics.CUSTOMER_LOYALTY_METRICS_V LIMIT 100;\n```\n\nSwitch back to your AWS Provider account and issue the following command to deactivate the aggregation policy.\n\n```sql\nALTER TABLE analytics.CUSTOMER_LOYALTY_METRICS_V UNSET AGGREGATION POLICY;\n```\n\nNext, let's also create a [projection policy](https://docs.snowflake.com/en/user-guide/projection-policies) that prevents the **city** column from appearing in a result set but allows its usage in predicates to the restrict a query result:\n\n**Fill in AWS Provider Account Name below**\n\n```sql\nCREATE OR REPLACE PROJECTION POLICY tasty_projection_policy\n  AS () RETURNS PROJECTION_CONSTRAINT -\u003E\n  CASE\n      WHEN current_account_name() IN ('*** FILL IN AWS Provider Account Name ***') \n       AND current_role() = 'ACCOUNTADMIN'\n      THEN PROJECTION_CONSTRAINT(ALLOW =\u003E true)\n\n      WHEN IS_DATABASE_ROLE_IN_SESSION('TASTYBYTES_MANAGER_ROLE')\n      THEN PROJECTION_CONSTRAINT(ALLOW =\u003E true)\n\n      ELSE PROJECTION_CONSTRAINT(ALLOW =\u003E false)\n    END;\n\nALTER VIEW analytics.CUSTOMER_LOYALTY_METRICS_V\n  MODIFY COLUMN city \n  SET PROJECTION POLICY tasty_projection_policy;\n```\n\n Switch to your consumer account **horizon_lab_aws_consumer** again to explore the effect of the projection policy on the results or the following queries:\n\n ```sql\nuse role sales_apj_role;\n\nSELECT *              FROM analytics.CUSTOMER_LOYALTY_METRICS_V;\n\nSELECT * EXCLUDE city FROM analytics.CUSTOMER_LOYALTY_METRICS_V;\n\nSELECT * EXCLUDE city \nFROM analytics.CUSTOMER_LOYALTY_METRICS_V\nWHERE city IN ('Delhi','Tokyo','Seoul','Melbourne','Sydney','Mumbai');\n\nSELECT city, count(*) as num_cust_per_city\nFROM analytics.CUSTOMER_LOYALTY_METRICS_V\nGROUP BY city;\n```\n\nNote that a projection policy by itself does not prevent users from detecting information about individuals. For example, the following query is permitted (and returns customer details if you remove the masking policy **pii_string_mask**):\n\n ```sql\nSELECT * EXCLUDE city\nFROM analytics.CUSTOMER_LOYALTY_METRICS_V\nWHERE city = 'Melbourne' AND last_name = 'Arellano';\n```\n\n## Publish Listing with Data Quality Metrics\n\n\nIn this section the data provider will capture [data quality metrics](https://docs.snowflake.com/en/user-guide/data-quality-intro) and share them with the data consumers. In particular, we want to monitor the data quality in the view ANALYTICS.ORDERS_BY_POSTAL_CODE_V.\n\n### Assign Built-in and Custom Data Quality Metrics to Shared Data\n\nOn AWS Provider account, execute the following commands to create a database where we will define any custom quality functions.\n\n```sql\nuse role accountadmin;\ncreate or replace database tasty_bytes_quality;\nuse database tasty_bytes_quality;\ncreate schema dq_functions;\n```\n\nNext, let's define how often the quality of ORDERS_BY_POSTAL_CODE_V should be checked. For a table, the quality checks can be triggered by data changes or executed on a schedule. For views, the quality metrics can (currently) be evaluated on a schedule.\n\nLet's set the schedule to the shortest possible interval, which is 5 minutes:\n\n```sql\nALTER VIEW FROSTBYTE_TASTY_BYTES.ANALYTICS.ORDERS_BY_POSTAL_CODE_V\n  SET DATA_METRIC_SCHEDULE = '5 MINUTE';\n```\n\nNow, let's use two of [Snowflake's built-in data quality functions](https://docs.snowflake.com/en/user-guide/data-quality-system-dmfs) to count the number of NULL valuse in the column POSTAL_CODE as well as the number of distinct cities reported in this view:\n\n```sql\nALTER VIEW FROSTBYTE_TASTY_BYTES.ANALYTICS.ORDERS_BY_POSTAL_CODE_V\n  ADD DATA METRIC FUNCTION SNOWFLAKE.CORE.NULL_COUNT ON (POSTAL_CODE);\n\nALTER VIEW FROSTBYTE_TASTY_BYTES.ANALYTICS.ORDERS_BY_POSTAL_CODE_V\n  ADD DATA METRIC FUNCTION SNOWFLAKE.CORE.UNIQUE_COUNT ON (CITY);\n```\n\nAdditionally, let's create a [custom data quality function](https://docs.snowflake.com/user-guide/data-quality-working#create-your-own-dmf) that counts the number of outliers, i.e. postal areas with an exceptionally high or low number of orders:\n\n```sql\nCREATE OR REPLACE DATA METRIC FUNCTION tasty_bytes_quality.dq_functions.postal_code_order_outliers (t TABLE  (count_order INTEGER) )\nRETURNS INTEGER\nAS\n$$\n  select count(*) \n  from t\n  where count_order \u003E 300000\n     or count_order \u003C 30\n$$;\n```\n\nThe owner of the object that is being monitored needs to have the privilege to execute the custom data metric function and use the database and schema where that function resides. Additional privileges are required to execute the built-in metric functions or view their results. To keep it simple, let's grant the following privileges to all users:\n\n```sql\nGRANT ALL ON FUNCTION tasty_bytes_quality.dq_functions.postal_code_order_outliers(TABLE(INTEGER)) to role public;\nGRANT USAGE ON DATABASE tasty_bytes_quality              to role public;\nGRANT USAGE ON SCHEMA   tasty_bytes_quality.dq_functions to role public;\n\nGRANT EXECUTE DATA METRIC FUNCTION ON ACCOUNT            to role public;\nGRANT DATABASE ROLE SNOWFLAKE.DATA_METRIC_USER           to role public;\nGRANT DATABASE ROLE SNOWFLAKE.USAGE_VIEWER               to role public;\n```\n\nNow we can apply our customer quality function to the view ORDERS_BY_POSTAL_CODE_V:\n\n```sql\nALTER VIEW FROSTBYTE_TASTY_BYTES.ANALYTICS.ORDERS_BY_POSTAL_CODE_V\n  ADD DATA METRIC FUNCTION tasty_bytes_quality.dq_functions.postal_code_order_outliers \n  ON (count_order);\n```\n\nUse the following command to verify that all three quality metrics have been scheduled correctly. Any permission problems would be reflected in the column \"schedule_status\". Possible status values are [documented here](https://docs.snowflake.com/sql-reference/functions/data_metric_function_references#returns).\n\n```sql\n  SELECT schedule_status, *\n  FROM TABLE(\n    INFORMATION_SCHEMA.DATA_METRIC_FUNCTION_REFERENCES(\n      REF_ENTITY_NAME =\u003E 'FROSTBYTE_TASTY_BYTES.ANALYTICS.ORDERS_BY_POSTAL_CODE_V',\n      REF_ENTITY_DOMAIN =\u003E 'VIEW'  )\n  );\n```  \n\n![600_DMF_Status](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/600_DMF_Status.png)\n\nAfter 5 minutes you can start observing quality metrics in the [default event table](https://docs.snowflake.com/en/user-guide/data-quality-working#view-the-dmf-results) where all quality results are recorded:\n\n**Unfortunately, accessing `snowflake.local.data_quality_monitoring_results` is not yet available in Snowflake trial accounts!** Please skip ahead to the next section _Sharing Data Quality Metrics_ if you are using a trial account.\n\n```sql\nSELECT scheduled_time, measurement_time, metric_name, metric_schema,\n       value, table_name, table_schema, table_database \nFROM snowflake.local.data_quality_monitoring_results  /* not yet available in trial accounts! */\nORDER BY measurement_time DESC;\n```\n\n![601_DMF_Results](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/601_DMF_Results.png)\n\nAdditionally, you could define [Alerts](https://docs.snowflake.com/en/user-guide/alerts) to watch the data quality metrics and take action automatically if acceptable thresholds are exceeded. For example, if the number of outliers reported by our custom quality function exceeds a certain value an alert could copy the offending rows into an exception table for review and send an [email notification](https://docs.snowflake.com/en/user-guide/email-stored-procedures).\n\n### Sharing Data Quality Metrics\n\nHow to share quality metrics from the event table with data consumers? At the time of authoring this lab (May 2024) event tables cannot be shared in a Listing directly. Similarly, views, streams, and dynamic tables are not yet an option for sharing data quality events.\n\nAnd since Snowflake trial accounts cannot access the event table (yet!), let's setup a task that regularly inserts data quality metrics into a table for sharing:\n\n```sql\nUSE DATABASE FROSTBYTE_TASTY_BYTES;\nCREATE SCHEMA FROSTBYTE_TASTY_BYTES.dq;\n\n-- this table will hold and share 7 days worth of quality metrics:\nCREATE OR REPLACE TABLE FROSTBYTE_TASTY_BYTES.dq.shared_quality_events \n  (measurement_time TIMESTAMP, \n   table_name       VARCHAR, \n   table_schema     VARCHAR, \n   table_database   VARCHAR, \n   metric_name      VARCHAR, \n   metric_schema    VARCHAR,\n   value            INTEGER  );  \n \n\n-- this task will maintain the table above:\nCREATE OR REPLACE TASK FROSTBYTE_TASTY_BYTES.dq.subset_quality_events\n   SCHEDULE = '3 MINUTE'\n   AS BEGIN\n        DELETE FROM dq.shared_quality_events\n        WHERE measurement_time \u003C current_date - 7;   \n\n        INSERT INTO dq.shared_quality_events\n           SELECT current_timestamp, 'ORDERS_BY_POSTAL_CODE_V',\n                  'ANALYTICS', 'FROSTBYTE_TASTY_BYTES',\n                  'NULL_COUNT', 'SNOWFLAKE.CORE',\n                   SNOWFLAKE.CORE.NULL_COUNT(\n                       SELECT POSTAL_CODE\n                       FROM ANALYTICS.ORDERS_BY_POSTAL_CODE_V);\n                       \n        INSERT INTO FROSTBYTE_TASTY_BYTES.dq.shared_quality_events\n           SELECT current_timestamp, 'ORDERS_BY_POSTAL_CODE_V',\n                  'ANALYTICS', 'FROSTBYTE_TASTY_BYTES',\n                  'UNIQUE_COUNT', 'SNOWFLAKE.CORE',\n                   SNOWFLAKE.CORE.UNIQUE_COUNT(\n                       SELECT city\n                       FROM ANALYTICS.ORDERS_BY_POSTAL_CODE_V);               \n                       \n        INSERT INTO FROSTBYTE_TASTY_BYTES.dq.shared_quality_events\n           SELECT current_timestamp, 'ORDERS_BY_POSTAL_CODE_V',\n                  'ANALYTICS', 'FROSTBYTE_TASTY_BYTES',\n                  'postal_code_order_outliers', 'dq_functions',\n                   tasty_bytes_quality.dq_functions.postal_code_order_outliers(\n                       SELECT count_order\n                       FROM ANALYTICS.ORDERS_BY_POSTAL_CODE_V);                     \n   END;\n\nALTER TASK subset_quality_events RESUME;\n```\n\nNow you can add the table \"shared_quality_events\" to the shared data product. Here are 2 options how you can so this.\n\n**Option 1: Programmatically**\n\nGrant the share the necessary access to the \"shared_quality_events\" table. You should already have the share name from the early section on Database Roles. Else, get the share name as in the first step of option 2 below.\n\n```sql\nGRANT USAGE ON SCHEMA FROSTBYTE_TASTY_BYTES.dq TO SHARE \u003Cshare_name\u003E;\n \nGRANT SELECT ON FROSTBYTE_TASTY_BYTES.dq.shared_quality_events TO SHARE \u003Cshare_name\u003E;\n```\n\n**Option 2: In the UI**\n\nTake the following 3 steps in the UI:\n\n1. In the provider account, navigate to the Provider Studio, select \"Listings\" from the horizontal menu at the top, and open your listing. In the section \"Data Product\" click on the name of the Secure Share that bundles the shared data objects.\n![602_DMF_AddTableToShare_1](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/602_DMF_AddTableToShare_1.png)\n\n2. You are now looking at a page detailing the underlying share. In the section \"Data\", click the \"Edit\" button:\n![603_DMF_AddTableToShare_2](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/603_DMF_AddTableToShare_2.png)\n\n3. Now you can open the data explorer to find and select the table \"dq.shared_quality_events\". Click \"Done\" and \"Save\" to finalize the update of your data product.\n![604_DMF_AddTableToShare_3](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/604_DMF_AddTableToShare_3.png)\n\n4. Switch to your consumer account \"horizon_lab_aws_consumer\" to verify that the data quality metrics are immediately visible as a new table in the data product. In the second consumer account \"horizon_lab_azure_consumer\" you will see the same after the 1 minute replication interval.\n\n5. Go back to your provider account and suspend the task, to save credits in your trial account.\n\n```sql\n  ALTER TASK subset_quality_events SUSPEND;\n  \n  ALTER VIEW FROSTBYTE_TASTY_BYTES.ANALYTICS.ORDERS_BY_POSTAL_CODE_V\n  UNSET DATA_METRIC_SCHEDULE;\n```\n\n\u003C!-- ------------------------ --\u003E\n## Publish a Native Application Listing\n\n\nThe [Snowflake Native Application Framework](https://docs.snowflake.com/en/developer-guide/snowflake-cli-v2/native-apps/overview) provides developers the ability to create data intensive applications that run _within_ the Snowflake platform with versioning controls.\n\n- Native Apps allow sharing of data and related business logic with other Snowflake accounts.\n- Native Apps are shared with Consumer accounts using a Listing.\n  - A listing can be free or paid, published on Marketplace or to specific accounts\n- Rich visualizations can be include in the application with Streamlit.\n\n### Native App Workflow\n\n![High Level View of Snowflake Native App Framework](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/native-app-framework.jpg)\n\nYou will build a native app that visualizes Tasty Bytes food truck Sales over Time by City.\n\nThe app will allow filtering on Year and City, while displaying the underlying raw data and associated SQL query.\nConsumer account admins responsible for installing the application will supply a country lookup table that restricts what is shown by Country using a row-access policy.\n\n### Overview of Project Structure\n\nHere is the directory structure of the code repository that was cloned or downloaded from GitHub earlier, relevant to `app` artifacts for the native app:\n\n```plaintext\n|-- app\n|   |-- src\n|       |-- libraries\n|       |   |-- environment.yml\n|       |   |-- frosty_bytes_sis.py\n|       |   |-- procs.py\n|       |   |-- udf.py\n|       |-- manifest.yml\n|       |-- setup_script.sql\n|       |-- readme.md\n|-- scripts\n|   |-- setup_package_script.sql\n|-- snowflake.yml\n```\n\n\u003E`src` - stores all source code including stored procedures, user-defined functions (UDFs), streamlit application and installation script `setup_script.sql`.\n\n\u003E`setup_script.sql` - defines all Snowflake objects used within the application. Runs every time a user installs the application, such as when a Consumer account installs the listing.\n\nHere is a snippet from `setup_script.sql` that shows how a row-access policy limits country sales based on consumer region and role.\n\n```sql\n-- Create Row-Access Policy to limit access by Consumer region using a local mapping table\nCREATE OR REPLACE TABLE app_instance_schema.region_country_map(region STRING, country STRING);\n\nINSERT INTO app_instance_schema.region_country_map\n    VALUES  ('PUBLIC.AZURE_WESTEUROPE','Germany'),\n            ('PUBLIC.AZURE_WESTEUROPE','Spain'),\n            (......);\n\nCREATE OR REPLACE ROW ACCESS POLICY app_instance_schema.country_row_policy\n    AS (country STRING) RETURNS BOOLEAN -\u003E \n    country = 'Canada' \n    OR current_role() IN ('ACCOUNTADMIN','SYSADMIN','SALES_MANAGER_ROLE')\n    OR EXISTS \n    (\n        SELECT 1\n        FROM app_instance_schema.region_country_map map\n        WHERE 1=1\n        AND map.region = current_region()\n        AND map.country = country\n    )\nCOMMENT = 'Policy to limit rows returned based on region';\n\nALTER VIEW app_instance_schema.orders_v\n  ADD ROW ACCESS POLICY app_instance_schema.country_row_policy ON (country);\n```\n\n\u003E`manifest.yml` - defines version metadata, location of artifacts (setup script, streamlit), configuration of logging/tracing.\n\n\u003E`setup_package_script.sql` - shares provider data that is needed by the application, executed when the application package is deployed or upgraded.\n\n\u003E`snowflake.yml` - Snowflake CLI configuration file that contains native app name, location of source code directory, location of package setup script `setup_package_script.sql`\n\n\u003E`frosty_bytes_sis.py` - Streamlit visualization python script that accesses the shared data within the application package.\n\nRefer to the [Getting Started with Native Apps](/en/developers/guides/getting-started-with-native-apps/) Quickstart for more details.\n\n### Create Application Package using Snowflake CLI\n\nNow let's create the Snowflake Application Package from the project files in our repo!\n\nOpen a new terminal at the root of the repository cloned/downloaded from Github and execute the following commands:\n\n```bash\n# verify that 3 account connections exist, with AWS Provider Account as DEFAULT\nsnow connection list\n+-------------------------------------------------------------------------------------------------------------------------------+\n| connection_name        | parameters                                                                              | is_default |\n|------------------------+-----------------------------------------------------------------------------------------+------------|\n| horizon-aws-provider   | {'account': '***orgname-accountname***', 'user': 'horizonadmin', 'password':            | True       |\n|                        | '****', 'warehouse': 'compute_wh', 'role': 'accountadmin'}                              |            |\n| horizon-aws-consumer   | {'account': '**orgname**-horizon_lab_aws_consumer', 'user': 'horizonadmin',             | False      |\n|                        | 'password': '****', 'warehouse': 'compute_wh', 'role': 'accountadmin'}                  |            |\n| horizon-azure-consumer | {'account': '***orgname***-horizon_lab_azure_consumer', 'user': 'horizonadmin',         | False      |\n|                        | 'password': '****', 'warehouse': 'compute_wh', 'role': 'accountadmin'}                  |            |\n+-------------------------------------------------------------------------------------------------------------------------------+\n\nsnow app version create --skip-git-check\n\nsnow sql -q 'ALTER APPLICATION PACKAGE horizon_quickstart_package SET DEFAULT RELEASE DIRECTIVE version=V1 patch=0'\n+---------------------------------------------------------+\n| status                                                  |\n|---------------------------------------------------------|\n| Default release directive set to version 'V1', patch 0. |\n+---------------------------------------------------------+\n```\n\nThe `app version create` command will upload source files to a stage and create the application package.\nSetting the default release version and patch is a required step before the application package can be published in a listing.\nDocumentation for publishing native applications is [here](https://other-docs.snowflake.com/en/native-apps/provider-publishing-app-package#workflow-for-publishing-an-application-package)\n\nYou should now see the **HORIZON_QUICKSTART_PACKAGE** listed under the `Databases` panel in Snowsight.\n\n![HORIZON_QUICKSTART_APP](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/horizon_quickstart_app_pkg.jpg)\n\n### Publish App Package as a Listing targeted at our AWS, Azure Consumer Accounts\n\nReturn to Snowsight and ensure your role is `ACCOUNTADMIN` (check and set if necessary at the bottom left corner)\n\nNavigate to **Provider Studio** (under Data Products) and click on `+ Listing` to author a native app listing.\n\n![Create Listing](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/create-native-app-listing.jpg)\n\nNow select the `HORIZON_QUICKSTART_PACKAGE` and fill in a brief description using the rich text editor.\nYou can use this text to get started, but feel free to get creative!\n\n\u003E _[Tasty Bytes](/en/developers/guides/tasty-bytes-introduction/) is a fictitious global food truck network_\n\u003E _that is on a mission to serve unique food options with high quality items in a safe, convenient and cost effective way._\n\u003E _In order to drive forward on their mission, Tasty Bytes is beginning to leverage the Snowflake Data Cloud._\n\u003E\n\u003E This application provides **Total Sales (USD) by Year** for selected cities in an interactive graphical visualization.\n\u003E The cities available are dependent upon the Consumer account region: only sales for regional cities are shown.\n\u003E Also displayed are the underlying raw sales data and associated SQL query.\n\nAdd 2 Consumer Accounts: `\u003CYOUR-ORGNAME\u003E.HORIZON_LAB_AWS_CONSUMER` and `\u003CYOUR-ORGNAME\u003E.HORIZON_LAB_AZURE_CONSUMER`\n\nThe addition of a consumer account in a different cloud (or region) will reveal the auto-fulfillment panel.\nProvide your email to receive notifications and **Publish**\n\n![Publish Listing](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/create-native-app-listing-detail.jpg)\n\nInitially the auto-fulfillment frequency is set to 1 Day, you can change it to 15 minutes after the listing is published.\n\n![Update Refresh Frequency](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/manage-regions-replication.jpg)\n\n### Install the Tasty Bytes Sales App on Azure Consumer (HORIZON_LAB_AZURE_CONSUMER)\n\nWe are now at the moment of truth! ![snowflake](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/snowflake-icon.jpg)\n\n**Switch to the HORIZON_LAB_AZURE_CONSUMER account**\n\nWith listing auto-fulfillment, replication will only be initiated from Provider AWS region to Consumer Azure region when there is a request.\nNavigate to Snowsight `Data Products -\u003E Private Sharing` to acquire the Tasty Bytes Global Sales application:\n\n![Azure Consumer Listing](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/azure-consumer-listing.jpg)\n\nWhile the application objects are being delivered cross-cloud, we can now switch to the local AWS region consumer and install immediately.\n\n**Switch to the HORIZON_LAB_AWS_CONSUMER account**\n\n![Application Install on AWS](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/aws-install-app.jpg)\n\nOpen the application and while it is spinning up, click on the `Manage Access` button at top-right and give **PUBLIC** access.\n\n![Manage Access](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/native-app-access.jpg)\n\nNow try adding a few cities in addition to _Vancouver_:\n\n![Global Sales AWS-USWEST](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/global-sales-aws-uswest.jpg)\n\nTasty Bytes is sold in 15 countries and 30 cities worldwide.\nConsider these questions and see if you can come up with convincing answers:\n\n  1. What is the query that generates the city list in the Streamlit graph? [Hint: see `frosty_bytes_sis.py`]\n  2. How many cities can be selected? If not all, why not? [Hint: see `setup_script.sql`]\n  3. Try different roles [`ACCOUNTADMIN`,`SALES_MANAGER_ROLE`,`PUBLIC`] - does the city list change?\n\nNow it is time to return to **HORIZON_LAB_AZURE_CONSUMER** and check if auto-fulfillment has completed...\n\nOpen the application and again while it is spinning up, click on the `Manage Access` button to give **PUBLIC** access.\n\nTry adding a few cities in addition to _Vancouver_ as we did with the AWS US West consumer account\n\n![Global Sales Azure-WestEurope](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/global-sales-azure-westeurope.jpg)\n\n  1. Why is the country list different in the Azure West-Europe region (except Vancouver!)?\n  2. Again, does it make any difference with different roles?\n\n```\nStreamlit does not currently allow role-based policies because of security concerns, so only the region mapping in the policy will apply.\n```\n\nTo observe how the row-access policy evaluation of `current_role()` works in an application instance, outside of Streamlit, step through this SQL snippet in a `Worksheet` on the **HORIZON_LAB_AWS_CONSUMER** and **HORIZON_LAB_AZURE_CONSUMER** accounts:\n\n```sql\nUSE APPLICATION TASTY_BYTES_GLOBAL_SALES;\n\nUSE ROLE ACCOUNTADMIN;\nselect distinct primary_city from tasty_bytes_global_sales.app_instance_schema.orders_v;\n\nUSE ROLE SALES_AMERICAS_ROLE;\nselect distinct primary_city from tasty_bytes_global_sales.app_instance_schema.orders_v;\n\nUSE ROLE SALES_APJ_ROLE;\nselect distinct primary_city from tasty_bytes_global_sales.app_instance_schema.orders_v;\n\nUSE ROLE SALES_EMEA_ROLE;\nselect distinct primary_city from tasty_bytes_global_sales.app_instance_schema.orders_v;\n\nUSE ROLE SALES_MANAGER_ROLE;\nselect distinct primary_city from tasty_bytes_global_sales.app_instance_schema.orders_v;\n```\n\n\u003C!-- ------------------------ --\u003E\n## Share Snowflake-Managed Iceberg Tables\n\n\nIceberg tables in Snowflake combine the performance and query semantics of regular Snowflake tables with external cloud storage managed by the customer. Snowflake supports Iceberg tables that use the Apache Parquet file format.\n\nCreating and writing data into a Snowflake Iceberg table is beyond the scope of this lab; we will focus only on the Consumer side of Iceberg table sharing.\n\nUsing the method outlined in [Getting Started with Iceberg Tables](/en/developers/guides/getting-started-iceberg-tables/) Quickstart, create Iceberg Tables and policies based on what we created in the previous lab section.\n\nOn the `Provider AWS Account` execute the steps listed in `code/sql/reference/iceberg_provider.sql` cloned from [Horizon Quickstart Scripts](https://github.com/Snowflake-Labs/sfguide-horizon-intra-organization-sharing) repository earlier:\n\n1. Create External Volume in Snowflake, after configuring an external volume with your cloud service provider (AWS, Azure, GCP).\n2. Create a `FROSTBYTE_ICEBERG` database with schemas for ANALYTICS, RAW_POS, RAW_CUSTOMER, GOVERNANCE, TPCH.\n3. Create Iceberg Tables `CUSTOMER_LOYALTY_ICEBERG`, `ORDER_HEADER_ICEBERG`, `CUSTOMER_TPCH_ICEBERG`, `NATION_TPCH_ICEBERG`.\n4. Create Secure View `CUSTOMER_LOYALTY_METRICS_V` that joins multiple iceberg tables.\n5. Create Database Roles `TASTYBYTES_MANAGER_ROLE` and `TASTYBYTES_ANALYST_ROLE` to restrict access for consumers.\n6. Create and apply row-access policy `CUSTOMER_COUNTRY_ROW_POLICY` to `CUSTOMER_LOYALTY_ICEBERG.COUNTRY` column that filters based on database role using the `is_database_role_in_session()` context function.\n7. Create a listing called `ICEBERG_LAB_ANALYTICS`, attach iceberg tables and secure view.\n8. In the **Listing Description** section: enter instructions on post-installation steps (see below)\n9. In the **Sample Queries** section: enter queries for the consumer to run\n\nNow switch to the **HORIZON_LAB_AWS_CONSUMER** account.\n\nNavigate to `Private Sharing` in Snowsight and install the `ICEBERG_LAB_ANALYTICS` listing that was shared by the AWS Provider.\nRun these post-installation steps in a worksheet.\n\n```sql\nUSE ROLE accountadmin;\nSHOW DATABASE ROLES IN DATABASE iceberg_lab_analytics;\nGRANT DATABASE ROLE iceberg_lab_analytics.tastybytes_manager_role to ROLE sales_manager_role;\nGRANT DATABASE ROLE iceberg_lab_analytics.tastybytes_analyst_role to ROLE public;\n```\n\nCreate two users to test access controls on the incoming Iceberg Analytics listing.\n\n```sql\nUSE ROLE ACCOUNTADMIN;\n\nCREATE OR REPLACE USER horizonengineer\nPASSWORD='' \nDEFAULT_ROLE = PUBLIC \nMUST_CHANGE_PASSWORD = FALSE \nDEFAULT_WAREHOUSE = COMPUTE_WH;\n\nCREATE OR REPLACE USER horizonmanager\nPASSWORD='' \nDEFAULT_ROLE = SALES_MANAGER_ROLE \nMUST_CHANGE_PASSWORD = FALSE \nDEFAULT_WAREHOUSE = COMPUTE_WH;\n\nGRANT ROLE SALES_MANAGER_ROLE TO USER horizonmanager;\n```\n\nNow run these queries that were entered as **Sample Queries** in the Iceberg listing.\nCompare results as a `horizonengineer` and `horizonmanager` user that leverages the row-access policy to limit sales analytics.\n\n```sql\n// Customer Sales by City\n/*\nTotal food truck sales in USD by city\n*/\nSELECT\n    clm.city,\n    ROUND(SUM(clm.total_sales), 0) AS total_sales_usd\nFROM analytics.customer_loyalty_metrics_v clm\nGROUP BY clm.city\nORDER BY total_sales_usd DESC;\n\n// Total Orders by Gender\n/*\nWhat are the total order amounts in each city by gender?\n*/\nSELECT \n    cl.gender,\n    cl.city,\n    COUNT(oh.order_id) AS count_order,\n    ROUND(SUM(oh.order_amount),0) AS order_total,\n    current_time()\nFROM raw_pos.order_header_iceberg oh\nJOIN raw_customer.customer_loyalty_iceberg cl\n    ON oh.customer_id = cl.customer_id\nGROUP BY ALL\nORDER BY order_total DESC;\n\n// Visible Countries and Cities\n/*\nHow many cities in what countries can I view analytics data for?\n*/\nSELECT DISTINCT COUNTRY, CITY FROM analytics.customer_loyalty_metrics_v ORDER BY COUNTRY;\n;\n\n// TPCH Benchmark - Returned Item Reporting Query (Q10)\n/*\nThe Returned Item Reporting Query finds the top 10 customers, in terms of their effect on lost revenue for a given quarter, who have returned parts. The customers are listed in descending order of lost revenue.\n*/\nSELECT\n     c_custkey,\n     c_name,\n     TRUNCATE(SUM(l_extendedprice * (1 - l_discount))) AS lost_revenue,\n     c_acctbal,\n     n_name,\n     c_address,\n     c_phone,\n     c_comment\nFROM\n     tpch.customer_tpch_iceberg,\n     SNOWFLAKE_SAMPLE_DATA.TPCH_SF100.ORDERS,\n     SNOWFLAKE_SAMPLE_DATA.TPCH_SF100.LINEITEM,\n     tpch.nation_tpch_iceberg\nWHERE\n     c_custkey = o_custkey\n     AND l_orderkey = o_orderkey\n     AND o_orderdate \u003E= to_date('1993-10-01')\n     AND o_orderdate \u003C dateadd(month, 3, to_date('1993-10-01'))\n     AND l_returnflag = 'R'\n     AND c_nationkey = n_nationkey\nGROUP BY\n     c_custkey,\n     c_name,\n     c_acctbal,\n     c_phone,\n     n_name,\n     c_address,\n     c_comment\nORDER BY\n     lost_revenue DESC\nLIMIT 10\n;\n```\n\n\u003C!-- ------------------------ --\u003E\n## Share Unstructured Data\n\n\nWe have previously staged 100 movie reviews extracted from the [IMDB Large Movie Review Dataset](https://ai.stanford.edu/~amaas/data/sentiment/).\n\nDirectory Tables are built-in Snowflake objects that provide an updated, tabular file catalog for staged data that makes it easy to search and lookup files.\n\n```sql\nUSE ROLE sysadmin;\nUSE WAREHOUSE tasty_de_wh;\nUSE SCHEMA frostbyte_tasty_bytes.movie_reviews;\n\nALTER STAGE movie_stage refresh;\nSELECT * FROM DIRECTORY(@movie_stage);\n```\n\nSnowflake offers access to unstructured data through three types of URLs based on the access policy that is required:\n\n1. [Scoped URL](https://docs.snowflake.com/en/sql-reference/functions/build_scoped_file_url.html?_fsi=A9hUbkt2&_fsi=A9hUbkt2): encoded URL to give a user temporary access (currently 24 hours) to a file without giving access to the stage.\n2. [File URL](https://docs.snowflake.com/en/sql-reference/functions/build_stage_file_url.html): requires user authentication with Snowflake and read privileges on the stage.\n3. [Pre-signed URL](https://docs.snowflake.com/en/sql-reference/functions/get_presigned_url.html): pre-authenticated URL that allows download directly from a browser.\n\nWe will use **_Scoped URL_** to share these text files within and across cloud regions. Unlike with data and app sharing, the unstructured data will not be physically replicated cross-cloud.\n\nOn the **AWS Provider Account** open a SQL Worksheet called `Unstructured Data` and execute these commands sequentially:\n\n```sql\nUSE ROLE sysadmin;\nUSE WAREHOUSE tasty_de_wh;\nUSE SCHEMA frostbyte_tasty_bytes.movie_reviews;\n\n-- Here are the 100 review text files: click on any scoped URL to download and view\nSELECT relative_path\n , build_scoped_file_url(@movie_stage, relative_path) as scoped_url\nfrom directory(@movie_stage);\n\n-- Snowpark Python UDF to extract review contents from each file URL\nCREATE FUNCTION extract_review(file_path string)\nRETURNS STRING\nLANGUAGE PYTHON\nRUNTIME_VERSION = '3.8'\nPACKAGES = ('snowflake-snowpark-python')\nHANDLER = 'parse_text_file'\nAS\n$$\n\ndef parse_text_file(file_path):\n    from snowflake.snowpark.files import SnowflakeFile\n    with SnowflakeFile.open(file_path, 'r') as f:\n        lines = [ line.strip() for line in f ]\n        return lines\n$$\n;\n\n-- Share secure view that extracts review contents for the Consumer\nCREATE OR REPLACE SECURE VIEW movie_reviews_v\n    AS\nSELECT relative_path as review_file_name, \n    extract_review(build_scoped_file_url(@movie_stage, relative_path)) as review_content,\n    build_scoped_file_url(@movie_stage, relative_path) as scoped_url\nFROM DIRECTORY(@movie_stage);\n\nSELECT * FROM movie_reviews_v limit 10;\n\n-- Use the SUMMARIZE and SENTIMENT in-built Cortex LLM functions to derive insights from these reviews\nSELECT review_file_name, \nSNOWFLAKE.CORTEX.SUMMARIZE(review_content) as Summary, \nTO_DECIMAL(SNOWFLAKE.CORTEX.SENTIMENT(review_content),3,2) as Sentiment,\nscoped_url\nFROM movie_reviews_v\nORDER BY Sentiment DESC\nLIMIT 10;\n```\n\nNow this secure view can be shared in a private listing targeted at `horizon_lab_aws_consumer` and `horizon_lab_azure_consumer` just as we did in earlier sections with data and apps.\n\nCreate a new listing called `IMDB Movie Reviews` in Provider Studio to publish the review files and content:\n\n- share the `MOVIE_REVIEWS_V` view\n- add a description that includes a link to the highest grossing film of all time: [Avatar](https://www.youtube.com/watch?v=5PSNL1qE6VY) and this link that documents the reference dataset [IMDB Large Movie Review Dataset](https://ai.stanford.edu/~amaas/data/sentiment/)\n- target the two Consumer accounts in AWS and Azure regions\n- include the query that calls `SUMMARIZE` and `SENTIMENT` Cortex LLM functions in the Sample Queries section to make it easy for Consumers\n\n![Listing publish failure](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/horizon-intra-org-sharing/error-publishing-python-function.jpg)\n\n**Publishing Fails** - do you understand why?\n\u003E Hint: `MOVIE_REVIEWS_V` uses a Python UDF for review content extraction, _which can only be shared in a Native App!_\n\nReturn to the `HORIZON_QUICKSTART_PACKAGE` we created in the previous section and publish an update after adding `MOVIE_REVIEWS_V`. Here are the steps:\n\u003E\n\u003E 1. Modify `scripts/setup_package_script.sql`:\n\u003E share the `movie_reviews_v` view similar to how `orders_v` view was handled\n\u003E 2. Modify `app/src/setup_script.sql`:\n\u003E create a proxy view `movie_reviews_v` similar to `orders_v` in `app_instance_schema`\n\u003E grant select on `movie_reviews_v` to the application role `app_instance_role` to make it visible\n\u003E 3. Create a new app version V2 by issuing:\n\u003E `snow app version create V2 --skip-git-check`\n\u003E 4. Set the DEFAULT RELEASE DIRECTIVE to version V2 patch 0\n\u003E `snow sql -q 'ALTER APPLICATION PACKAGE horizon_quickstart_package SET DEFAULT RELEASE DIRECTIVE version=V2 patch=0'`\n\nAnd that is all it takes to upgrade a native app!\n_(here is the [App Upgrade Workflow doc](https://docs.snowflake.com/en/developer-guide/native-apps/versioning#workflow-for-upgrading-an-native-app))_\n\nOn the **AWS Consumer Account** run this in a SQL Worksheet:\n\n```sql\nUSE ROLE ACCOUNTADMIN;\n\n-- install the app upgrade\nALTER APPLICATION TASTY_BYTES_GLOBAL_SALES UPGRADE;\n\nUSE APPLICATION TASTY_BYTES_GLOBAL_SALES;\n\nSELECT * FROM app_instance_schema.movie_reviews_v limit 10;\n\nSELECT review_file_name, \nSNOWFLAKE.CORTEX.SUMMARIZE(review_content) as Summary, \nTO_DECIMAL(SNOWFLAKE.CORTEX.SENTIMENT(review_content),3,2) as Sentiment,\nscoped_url\nFROM app_instance_schema.movie_reviews_v\nORDER BY Sentiment DESC\nLIMIT 10; \n\n-- Use this query to monitor usage of AI Services\n-- Note: this will only populate on a daily basis\nSELECT *\n  FROM snowflake.account_usage.metering_daily_history\n  WHERE SERVICE_TYPE='AI_SERVICES';\n```\n\nTry the same steps on the **Azure Consumer Account**:\n\n\u003E How do you expect the refresh frequency for cross-cloud fulfillment to impact the application upgrade?\n\u003E (documentation on cross-region application upgrades [here](https://docs.snowflake.com/en/developer-guide/native-apps/versioning#upgrade-an-installed-app-across-multiple-regions))\n\n\u003C!-- ------------------------ --\u003E\n## Conclusion & Resources\n\n\nCongratulations, you made it through our Horizon Collaboration journey! You have exercised a broad range of data sharing and governance capabilities. You have worked with different types of data products including structured data, unstructured data, and native applications. And you have deployed different types of governance policies to implement data access and data privacy restrictions.\n\n### What you Learned\n\n- How to blend local Point-of-Sale data with Marketplace Weather data to build analytics data products.\n\n- How to publish data products as Listings targeted at accounts in your company\n- How to configure data access and privacy polices as a data provider to restrict data access by data consumers.\n- How to use tag-based column masking, row-access, aggregation and projection policies with database roles in a collaboration scenario.\n- How to manage Listings via the Listings API.\n- How to setup data quality monitoring of shared data products\n- How to share Iceberg Tables within a cloud region\n- How to share a native application with Streamlit visualization\n- How to share unstructured text files and process with Cortex LLM functions\n\n### Related Resources\n\n- [Lab Source Code on Github](https://github.com/Snowflake-Labs/sfguide-horizon-intra-organization-sharing)\n\n- [Snowflake Listings](https://other-docs.snowflake.com/en/collaboration/collaboration-listings-about) and [Managing Listings via API](https://docs.snowflake.com/en/sql-reference/commands-listings)\n\n- [Cross-cloud Auto-Fulfillment](https://other-docs.snowflake.com/en/collaboration/provider-listings-auto-fulfillment)\n\n- [Data Governance Policies](https://docs.snowflake.com/en/guides-overview-govern) and  [Data Privacy Policies](https://docs.snowflake.com/en/guides-overview-privacy)\n\n- [Data Quality Metrics](https://docs.snowflake.com/en/user-guide/data-quality-intro)\n\n- [Sharing  Data Protected by a Policy](https://docs.snowflake.com/en/user-guide/data-sharing-policy-protected-data)\n- [Iceberg Tables in Snowflake](https://docs.snowflake.com/en/user-guide/tables-iceberg)\n- [Best Practices publishing a Snowflake Native App](https://docs.snowflake.com/en/developer-guide/native-apps/publish-guidelines#best-practices-when-publishing-a-native-app)\n- [Sharing Unstructured Data](https://docs.snowflake.com/en/user-guide/unstructured-data-sharing)\n","multiValue":false,":type":"text/x-markdown"},"quickstartArticleLogoImage":{"dataType":"string","title":"Quickstart Article Logo Image","multiValue":false,":type":"text/plain"}},"elementsOrder":["quickstartArticleBody","quickstartArticleLogoImage"],"model":"snowflake-site/models/quickstart-article"},"flexible_column_cont":{"id":"flexible-column-container-8a4290792d","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-e6382736d2",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{"quickstart_last_modi":{"id":"quickstart-last-modified-10fbda2c45","icon":{"id":"icon","icon":"calendar",":type":"snowflake-site/components/icon","appliedCssClassNames":"snowflake-icon-blue"},"lastModifiedDatePrefix":"Updated","lastModifiedDate":"2025-12-20",":type":"snowflake-site/components/quickstart/quickstart-last-modified","appliedCssClassNames":"snowflake-responsive-component-top-padding-small"},"text":{"id":"text-320ca3ba0d","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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