{"id":78963,"date":"2026-11-10T19:50:41","date_gmt":"2026-11-10T19:50:41","guid":{"rendered":"http:\/\/bangla.sitestree.com\/?p=78963"},"modified":"2026-11-10T19:56:44","modified_gmt":"2026-11-10T19:56:44","slug":"rewritten-sql-server-22433","status":"publish","type":"post","link":"http:\/\/bangla.sitestree.com\/?p=78963","title":{"rendered":"SQL Server Data Quality Services: Knowledge Bases and Cleansing (Legacy)"},"content":{"rendered":"<p>Data Quality Services (DQS) was used to cleanse data through domain knowledge and supervised matching. An older DQS project typically created a knowledge base, applied its rules to source records, and reviewed ambiguous results.<\/p>\n<h2>Concepts and context<\/h2>\n<p>A data-quality domain can standardize recognized values such as city names or postal codes. A project profiles source fields, applies accepted mappings and rules, and separates automatic corrections from records that need manual approval.<\/p>\n<h2>Practical application<\/h2>\n<p>For a modern implementation, profile missing values, normalize formatting, enforce relational constraints, maintain approved reference sets, and record exactly which rows were changed. A simple first step can be SELECT CustomerID, UPPER(LTRIM(RTRIM(City))) AS NormalizedCity FROM dbo.CustomerStaging.<\/p>\n<h2>Compatibility and cautions<\/h2>\n<p>DQS was removed from SQL Server 2025 (17.x). Older installation and client screenshots apply only to earlier supported versions such as SQL Server 2022. Do not treat approximate matches as reliable without human validation.<\/p>\n<hr\/>\n<p><strong>AI and reuse disclosure:<\/strong> This newly written tutorial was generated with AI using <a href=\"https:\/\/bangla.sitestree.com\/?p=22433\">an existing Open Education article (post 22433)<\/a> as its starting point; explanations and examples may have been added. You may copy, edit and reuse the generated text with or without a reference. Rights in trademarks and third-party content remain with their respective owners. <strong>AI can make mistakes.<\/strong> Verify version compatibility, code and operational advice against current official documentation.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Data Quality Services (DQS) was used to cleanse data through domain knowledge and supervised matching. An older DQS project typically created a knowledge base, applied its rules to source records, and reviewed ambiguous results.<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":true,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_hide_featured_image":false,"_jetpack_featured_image_duplicate_dismissed":0,"_jetpack_feature_clip_id":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_post_was_ever_published":false},"categories":[20,182],"tags":[466],"class_list":["post-78963","post","type-post","status-publish","format-standard","hentry","category-information-technology","category---blog","tag-sql-server","item-wrap"],"jetpack_sharing_enabled":true,"jetpack-related-posts":[{"id":78977,"url":"http:\/\/bangla.sitestree.com\/?p=78977","url_meta":{"origin":78963,"position":0},"title":"Data Cleansing with SQL Server: DQS Knowledge Bases and a Modern Alternative","author":"Sayed","date":"November 10, 2026","format":false,"excerpt":"The legacy Data Quality Services workflow used a knowledge base to identify acceptable values, detect likely matches, and clean imported records. Modern workflows can preserve those goals without requiring DQS.","rel":"","context":"In &quot;Information Technology&quot;","block_context":{"text":"Information Technology","link":"http:\/\/bangla.sitestree.com\/?cat=20"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":78966,"url":"http:\/\/bangla.sitestree.com\/?p=78966","url_meta":{"origin":78963,"position":1},"title":"Data Quality Server and Client: SQL Server Legacy Installation Notes","author":"Sayed","date":"November 10, 2026","format":false,"excerpt":"Data Quality Server and Data Quality Client belonged to SQL Server's historical DQS feature set, enabling knowledge-driven data profiling, cleansing and review.","rel":"","context":"In &quot;Information Technology&quot;","block_context":{"text":"Information Technology","link":"http:\/\/bangla.sitestree.com\/?cat=20"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":78980,"url":"http:\/\/bangla.sitestree.com\/?p=78980","url_meta":{"origin":78963,"position":2},"title":"Installing SQL Server Data Quality Services: Legacy Server and Client Overview","author":"Sayed","date":"November 10, 2026","format":false,"excerpt":"The Data Quality Server and Client in older SQL Server releases supported data profiling, domain knowledge, cleansing and matching projects. This article preserves the concept while clarifying discontinued support.","rel":"","context":"In &quot;Information Technology&quot;","block_context":{"text":"Information Technology","link":"http:\/\/bangla.sitestree.com\/?cat=20"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":78970,"url":"http:\/\/bangla.sitestree.com\/?p=78970","url_meta":{"origin":78963,"position":3},"title":"SQL Server Analysis Services Data Mining Algorithms: Historical Survey","author":"Sayed","date":"November 10, 2026","format":false,"excerpt":"Earlier SQL Server Analysis Services editions supported data mining algorithms for classification, regression, clustering, association discovery and time-series modelling.","rel":"","context":"In &quot;Information Technology&quot;","block_context":{"text":"Information Technology","link":"http:\/\/bangla.sitestree.com\/?cat=20"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":22433,"url":"http:\/\/bangla.sitestree.com\/?p=22433","url_meta":{"origin":78963,"position":4},"title":"Create a Knowledge base and use that Knowledge base to create a  Data Quality Project to Clean Data for an existing Database #Root #By Sayed Ahmed #MS SQL Server #SQL Server Reporting #Data Warehouse #Analysis Service","author":"Author-Check- Article-or-Video","date":"March 14, 2021","format":false,"excerpt":"Create a Knowledge base and use that Knowledge base to create a Data Quality Project to Clean Data for an existing Database [youtube http:\/\/www.youtube.com\/watch?v=Bcrq1-3xxTg?feature=player_detailpage&w=640&h=360] From: http:\/\/sitestree.com\/?p=1752 Categories:Root, By Sayed Ahmed, MS SQL Server, SQL Server Reporting, Data Warehouse, Analysis ServiceTags: Post Data:2014-12-12 22:25:02 Shop Online: https:\/\/www.ShopForSoul.com\/ (Big Data, Cloud, Security,\u2026","rel":"","context":"In &quot;FromSitesTree.com&quot;","block_context":{"text":"FromSitesTree.com","link":"http:\/\/bangla.sitestree.com\/?cat=1917"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":78978,"url":"http:\/\/bangla.sitestree.com\/?p=78978","url_meta":{"origin":78963,"position":5},"title":"SQL Server Master Data Services: Business Rules and Master Records (Legacy)","author":"Sayed","date":"November 10, 2026","format":false,"excerpt":"Master Data Services once offered a centralized way to manage consistent reference entities. The educational value of its model and validation concepts remains relevant after the product's discontinuation.","rel":"","context":"In &quot;Information Technology&quot;","block_context":{"text":"Information Technology","link":"http:\/\/bangla.sitestree.com\/?cat=20"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]}],"jetpack_featured_media_url":"","_links":{"self":[{"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=\/wp\/v2\/posts\/78963","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=78963"}],"version-history":[{"count":1,"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=\/wp\/v2\/posts\/78963\/revisions"}],"predecessor-version":[{"id":79025,"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=\/wp\/v2\/posts\/78963\/revisions\/79025"}],"wp:attachment":[{"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=78963"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=78963"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=78963"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}