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Serve live, governed data in AI-built apps with Amazon Quick

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.

Live Data in Apps is a new feature from Amazon Quick Apps that allows users to query governed Quick Sight datasets in real-time, instead of relying on static snapshots. This feature can be accessed through the Apps section in Amazon Quick, where users can enter a natural language request to build an app. The AI agent discovers the relevant datasets, writes the necessary SQL, and asks for approval of each dataset by name.

Once approved, the app is built and loaded for preview. The query runs every time the app is viewed, ensuring that the data displayed is always up-to-date and adheres to the viewer's access permissions. This feature is particularly useful for business operations owners, as it enables them to build apps using live datasets without the need for manual data refresh or snapshot management.

Written by urgent.news from AWS Machine Learning's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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