[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-1-en-105":3,"doc-seo-177640-105":53,"doc-detail-177640-en":126},{"code":4,"msg":5,"data":6},0,"success",[7,14,19,24,29,34,39,44,49],{"id":8,"doc_module":9,"doc_module_name":10,"category_name":11,"show_sort_weight":12,"slug":13},11,1,"Template","Presentations",90,"presentations",{"id":15,"doc_module":9,"doc_module_name":10,"category_name":16,"show_sort_weight":17,"slug":18},12,"Resumes",80,"resumes",{"id":20,"doc_module":9,"doc_module_name":10,"category_name":21,"show_sort_weight":22,"slug":23},14,"Invoices",70,"invoices",{"id":25,"doc_module":9,"doc_module_name":10,"category_name":26,"show_sort_weight":27,"slug":28},15,"Posters",60,"posters",{"id":30,"doc_module":9,"doc_module_name":10,"category_name":31,"show_sort_weight":32,"slug":33},16,"Social Media",50,"social-media",{"id":35,"doc_module":9,"doc_module_name":10,"category_name":36,"show_sort_weight":37,"slug":38},17,"Forms",40,"forms",{"id":40,"doc_module":9,"doc_module_name":10,"category_name":41,"show_sort_weight":42,"slug":43},18,"Letters",30,"letters",{"id":45,"doc_module":9,"doc_module_name":10,"category_name":46,"show_sort_weight":47,"slug":48},21,"Paper Templates",5,"papers-templates",{"id":50,"doc_module":9,"doc_module_name":10,"category_name":51,"show_sort_weight":4,"slug":52},158,"General","general-158",{"code":4,"msg":54,"data":55},"ok",{"site_id":56,"language":57,"slug":58,"title":59,"keywords":60,"description":61,"schema_data":62,"social_meta":119,"head_meta":121,"extra_data":123,"updated_unix":125},105,"en","best-practices-for-semantic-data-modeling-for-performance-and-scalability","Best Practices for Semantic Data Modeling for Performance and Scalability","","Business frameworks often rely on semantic data models that must support varying database objects and attributes while enabling extensive customization. When deciding between object-oriented and relational approaches, developers face performance and scalability challenges such as query complexity from self-joins, optimizer difficulties, and reduced data locality on disk. The article outlines practical modeling techniques, including universal data modeling, inheritance-like structures, extensible attributes, and normalization choices, to improve runtime efficiency and maintainability.",{"@graph":63,"@context":118},[64,80,101],{"@type":65,"itemListElement":66},"BreadcrumbList",[67,71,74,77],{"item":68,"name":69,"@type":70,"position":9},"https://docshare.wps.com","Home","ListItem",{"item":72,"name":10,"@type":70,"position":73},"https://docshare.wps.com/template/",2,{"item":75,"name":11,"@type":70,"position":76},"https://docshare.wps.com/template/presentations/",3,{"item":78,"name":59,"@type":70,"position":79},"https://docshare.wps.com/template/best-practices-for-semantic-data-modeling-for-performance-and-scalability/177640/",4,{"url":78,"name":59,"@type":81,"image":82,"author":87,"headline":59,"publisher":90,"fileFormat":93,"inLanguage":57,"description":61,"dateModified":94,"datePublished":95,"encodingFormat":93,"isAccessibleForFree":96,"interactionStatistic":97},"DigitalDocument",{"url":83,"@type":84,"width":85,"height":86},"https://docshare.wps.com/thumbnails/best-practices-for-semantic-data-modeling-for-performance-and-scalability/177640.png","ImageObject",442,249,{"name":88,"@type":89},"Sarah ","Person",{"url":68,"name":91,"@type":92},"DocShare","Organization","application/vnd.openxmlformats-officedocument.wordprocessingml.document","2026-10-27","2026-09-02",true,{"@type":98,"interactionType":99,"userInteractionCount":20},"InteractionCounter",{"@type":100},"ViewAction",{"@type":102,"mainEntity":103},"FAQPage",[104,110,114],{"name":105,"@type":106,"acceptedAnswer":107},"Why do universal semantic data models become hard to query and optimize?","Question",{"text":108,"@type":109},"They can require repeated aliasing of the same object table, which makes queries difficult to understand, and they may introduce many self-joins that challenge cost-based optimizers.","Answer",{"name":111,"@type":106,"acceptedAnswer":112},"What performance and scalability problems can arise from data layout?",{"text":113,"@type":109},"When commonly used data is not stored close together on disk, the model can lead to scalability issues due to less efficient access patterns.",{"name":115,"@type":106,"acceptedAnswer":116},"Which modeling areas does the document address to improve performance and scalability?",{"text":117,"@type":109},"It covers approaches such as supertypes and subtypes, extensible attributes, normalization and denormalization tradeoffs, nullability and three-valued logic, indexing and query building, plus paging, lazy loading, and a modeling checklist.","https://schema.org",{"og:url":78,"og:type":120,"og:title":59,"og:site_name":91,"og:description":61},"article",{"robots":122,"canonical":78},"index,follow",{"doc_id":124,"site_id":56},177640,1791720751,{"code":4,"msg":5,"data":127},{"doc_id":124,"user_id":128,"nickname":88,"user_avatar":129,"doc_module":9,"category_id":8,"category_name":11,"doc_title":59,"doc_description":61,"doc_content":130,"file_id":131,"file_url":132,"file_type":133,"file_size":134,"view_count":20,"is_deleted":4,"is_public":9,"is_downloadable":9,"audit_status":9,"page_count":45,"language":135,"language_code":57,"site_id":56,"html_lang":57,"table_of_contents":136,"faqs":137,"seo_title":138,"seo_description":61,"update_tm":139,"read_time":140},962085320529,"https://ap-avatar.wpscdn.com/davatar_9964176cb1d06d4a9deccf72a44ae3dc","Best Practices for Semantic Data Modeling for Performance and Scalability\nSQL Server Technical Article\nWriter: Sharon Bjeletich\nTechnical Reviewer: Thomas Kejser\nPublished: August, 2008\nApplies To: SQL Server 2008\nSummary: More and more business applications are architected as business frameworks, where the core data model of the framework must support customers who work with different database objects and attributes, as well as allow for extensive customization. This paper covers some of the issues that can arise when it is difficult to decide whether to use an object-oriented or relational approach to designing the database. It includes approaches to improve performance and scalability. This paper is for database developers who are familiar with semantic modeling challenges.\n\u000fCopyright\nThe information contained in this document represents the current view of Microsoft Corporation on the issues discussed as of the date of publication. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information presented after the date of publication.\nThis White Paper is for informational purposes only. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS DOCUMENT.\nComplying with all applicable copyright laws is the responsibility of the user. Without limiting the rights under copyright, no part of this document may be reproduced, stored in or introduced into a retrieval system, or transmitted in any form or by any means (electronic, mechanical, photocopying, recording, or otherwise), or for any purpose, without the express written permission of Microsoft Corporation.\nMicrosoft may have patents, patent applications, trademarks, copyrights, or other intellectual property rights covering subject matter in this document. Except as expressly provided in any written license agreement from Microsoft, the furnishing of this document does not give you any license to these patents, trademarks, copyrights, or other intellectual property.\nUnless otherwise noted, the example companies, organizations, products, domain names, e-mail addresses, logos, people, places and events depicted herein are fictitious, and no association with any real company, organization, product, domain name, email address, logo, person, place or event is intended or should be inferred.\n 2008 Microsoft Corporation. All rights reserved.\nMicrosoft, SQL Server, Visio, and the Server Identity Logo are either registered trademarks or trademarks of Microsoft Corporation in the United States and/or other countries.\nThe names of actual companies and products mentioned herein may be the trademarks of their respective owners.\nTable of Contents\n\u0013 TOC \\h \\z \\t \"Heading 4,1,Heading 5,2,Heading 6,3\" \u0014\u0013 HYPERLINK \\l \"_Toc205617534\" \u0014Introduction\t\u0013 PAGEREF _Toc205617534 \\h \u00141\u0015\u0015\n\u0013 HYPERLINK \\l \"_Toc205617535\" \u0014The “Universal” Data Model\t\u0013 PAGEREF _Toc205617535 \\h \u00141\u0015\u0015\n\u0013 HYPERLINK \\l \"_Toc205617536\" \u0014Supertypes and Subtypes\t\u0013 PAGEREF _Toc205617536 \\h \u00145\u0015\u0015\n\u0013 HYPERLINK \\l \"_Toc205617537\" \u0014Extensible Attributes\t\u0013 PAGEREF _Toc205617537 \\h \u00146\u0015\u0015\n\u0013 HYPERLINK \\l \"_Toc205617538\" \u0014Normalize, Normalize, Normalize\t\u0013 PAGEREF _Toc205617538 \\h \u00148\u0015\u0015\n\u0013 HYPERLINK \\l \"_Toc205617539\" \u0014Nullability\t\u0013 PAGEREF _Toc205617539 \\h \u00149\u0015\u0015\n\u0013 HYPERLINK \\l \"_Toc205617540\" \u0014Three-Valued Logic\t\u0013 PAGEREF _Toc205617540 \\h \u001411\u0015\u0015\n\u0013 HYPERLINK \\l \"_Toc205617541\" \u0014Compensating Actions for Denormalization\t\u0013 PAGEREF _Toc205617541 \\h \u001412\u0015\u0015\n\u0013 HYPERLINK \\l \"_Toc205617542\" \u0014Parent/Child Tables and Sequence IDs\t\u0013 PAGEREF _Toc205617542 \\h \u001412\u0015\u0015\n\u0013 HYPERLINK \\l \"_Toc205617543\" \u0014Surrogate Keys\t\u0013 PAGEREF _Toc205617543 \\h \u001414\u0015\u0015\n\u0013 HYPERLINK \\l \"_Toc205617544\" \u0014Sequence IDs\t\u0013 PAGEREF _Toc205617544 \\h \u001414\u0015\u0015\n\u0013 HYPERLINK \\l \"_Toc205617545\" \u0014Data Model Designs\t\u0013 PAGEREF _Toc205617545 \\h \u001415\u0015\u0015\n\u0013 HYPERLINK \\l \"_Toc205617546\" \u0014Indexing\t\u0013 PAGEREF _Toc205617546 \\h \u001415\u0015\u0015\n\u0013 HYPERLINK \\l \"_Toc","cbCaikKAUnttjIRt","https://ap.wps.com/l/cbCaikKAUnttjIRt","docx",617231,"English","# Introduction\n# The “Universal” Data Model\n# Supertypes and Subtypes\n# Extensible Attributes\n# Normalize, Normalize, Normalize\n# Nullability\n# Three-Valued Logic\n# Compensating Actions for Denormalization\n# Parent/Child Tables and Sequence IDs\n# Surrogate Keys\n# Sequence IDs\n# Data Model Designs\n# Indexing\n# Query Builders\n# Paging\n# Lazy Loading\n# Semantic/Metadata/Runtime Data Model Checklist\n# Summary","[{\"question\":\"Why do universal semantic data models become hard to query and optimize?\",\"answer\":\"They can require repeated aliasing of the same object table, which makes queries difficult to understand, and they may introduce many self-joins that challenge cost-based optimizers.\"},{\"question\":\"What performance and scalability problems can arise from data layout?\",\"answer\":\" When commonly used data is not stored close together on disk, the model can lead to scalability issues due to less efficient access patterns.\"},{\"question\":\"Which modeling areas does the document address to improve performance and scalability?\",\"answer\":\"It covers approaches such as supertypes and subtypes, extensible attributes, normalization and denormalization tradeoffs, nullability and three-valued logic, indexing and query building, plus paging, lazy loading, and a modeling checklist.\"}]","Best Practices for Semantic Data Modeling for Performance and Scalability | DOCX",1788328707,7]