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官方來源· AWS Artificial Intelligence· AI· 發布於 2026年10月1日
AWS 說明 Amazon Quick 如何讓 AI 應用即時查詢受治理資料
AWS 於 10 月 1 日介紹 Amazon Quick 的 Live Data in Apps：AI 建置的應用可即時查詢受治理的 Quick Sight 資料集，而非依賴建置時的靜態快照。查詢會以應用讀者身分執行，套用該讀者的資料列與資料欄層級安全設定。
完整報導
AWS 於 2026 年 10 月 1 日發布的技術文章，介紹 Amazon Quick 的 Live Data in Apps。這項功能讓 AI 建置的應用即時查詢受治理的 Quick Sight 資料集，取代建置時建立的靜態資料快照。文章也示範如何以自然語言建立、發布並分享這類即時資料應用。
權限處理是這套做法的核心差異：每次查詢都以當下檢視應用的使用者身分執行，並套用資料列與資料欄層級安全設定。換言之，應用提供資料的方式會依讀者權限而定，而不是讓所有讀者共用一份建置時擷取的資料。
這延伸了 AWS 在 Quick Sight 嵌入式分析上的既有案例。AWS 曾介紹 Datacor 將 Quick Sight 儀表板與自然語言查詢嵌入 TrackAbout，並以多租戶資料列層級安全等機制支援服務。此次文章聚焦的則是 AI 建置應用如何連接即時、受治理的資料，以及如何沿用讀者層級的資料存取控制。
為什麼值得注意
即時查詢與逐讀者套用資料列、資料欄權限，將受治理資料帶入 AI 建置應用時的資料新鮮度與存取控制放在同一流程中。對評估嵌入式分析的團隊而言，這是相較於靜態建置快照的一項具體差異。
來源證據
先看主要證據，再查看佐證來源與來源脈絡。
主要證據
1Serve live, governed data in AI-built apps with Amazon Quick
Wei Kuo
“With Live Data in Apps in Amazon Quick, AI-built apps query your governed Quick Sight datasets in real time instead of static, build-time snapshots. Each query runs as the person viewing the app, so row-level and column-level security apply per reader. Learn how to build, publish, and share a live-data app using natural language.”
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