{"id":1555,"date":"2026-03-25T05:25:09","date_gmt":"2026-03-25T05:25:09","guid":{"rendered":"https:\/\/www.ez-knowledge.com\/tw\/validating-schema-evolution-using-er-models\/"},"modified":"2026-03-25T05:25:09","modified_gmt":"2026-03-25T05:25:09","slug":"validating-schema-evolution-using-er-models","status":"publish","type":"post","link":"https:\/\/www.ez-knowledge.com\/tw\/validating-schema-evolution-using-er-models\/","title":{"rendered":"\u4f7f\u7528ER\u6a21\u578b\u5728\u90e8\u7f72\u524d\u9a57\u8b49\u67b6\u69cb\u6f14\u8b8a"},"content":{"rendered":"<div class=\"wp-block-image\">\n<figure class=\"aligncenter\"><img alt=\"Charcoal sketch infographic illustrating schema evolution validation workflow using Entity Relationship Models, showing risk levels for database changes like add\/drop columns and modify data types, backward and forward compatibility strategies, seven-step validation process from defining intent to application testing, and key pitfalls including deadlocks and rollback planning for safe production database deployments\" decoding=\"async\" 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