{"id":187159,"date":"2025-02-17T02:04:33","date_gmt":"2025-02-17T01:04:33","guid":{"rendered":"https:\/\/glosarix.com\/glossary\/database-refactoring-en\/"},"modified":"2025-03-08T04:10:47","modified_gmt":"2025-03-08T03:10:47","slug":"database-refactoring-en","status":"publish","type":"glossary","link":"https:\/\/glosarix.com\/en\/glossary\/database-refactoring-en\/","title":{"rendered":"Database Refactoring"},"content":{"rendered":"<p>Description: Database refactoring is the process of improving the schema of a database without affecting existing functionality. This process involves making structural changes that optimize performance, scalability, and maintainability of the database. It is often carried out to eliminate redundancies, improve data normalization, and facilitate future expansions or modifications. Refactoring may include modifying tables, creating new relationships between them, removing obsolete fields, or implementing indexes to speed up queries. Through this process, the aim is not only to enhance the quality of the database design but also to ensure that the applications relying on it continue to function correctly. Refactoring is particularly relevant in environments where business requirements frequently change, as it allows adapting the database to new needs without interrupting service. In summary, database refactoring is an essential practice for maintaining the health and efficiency of data management systems over time.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Description: Database refactoring is the process of improving the schema of a database without affecting existing functionality. This process involves making structural changes that optimize performance, scalability, and maintainability of the database. It is often carried out to eliminate redundancies, improve data normalization, and facilitate future expansions or modifications. Refactoring may include modifying tables, creating [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"menu_order":0,"comment_status":"open","ping_status":"open","template":"","meta":{"footnotes":""},"glossary-categories":[12116],"glossary-tags":[13072],"glossary-languages":[],"class_list":["post-187159","glossary","type-glossary","status-publish","hentry","glossary-categories-refactoring-en","glossary-tags-refactoring-en"],"post_title":"Database Refactoring ","post_content":"Description: Database refactoring is the process of improving the schema of a database without affecting existing functionality. This process involves making structural changes that optimize performance, scalability, and maintainability of the database. It is often carried out to eliminate redundancies, improve data normalization, and facilitate future expansions or modifications. Refactoring may include modifying tables, creating new relationships between them, removing obsolete fields, or implementing indexes to speed up queries. Through this process, the aim is not only to enhance the quality of the database design but also to ensure that the applications relying on it continue to function correctly. Refactoring is particularly relevant in environments where business requirements frequently change, as it allows adapting the database to new needs without interrupting service. In summary, database refactoring is an essential practice for maintaining the health and efficiency of data management systems over time.","yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Database Refactoring - Glosarix<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/glosarix.com\/en\/glossary\/database-refactoring-en\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Database Refactoring - Glosarix\" \/>\n<meta property=\"og:description\" content=\"Description: Database refactoring is the process of improving the schema of a database without affecting existing functionality. 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