Amazon’s AWS Machine Learning Blog describes Live Data in Apps, a feature in Amazon Quick that allows AI-built applications to query governed QuickSight datasets in real time rather than relying on static snapshots captured at build time. According to the post, each query runs under the identity of the person viewing the app, so row-level and column-level security is applied per reader. The blog explains how to build, publish, and share a live-data app using natural language.
Why it matters
Serving live data instead of build-time snapshots means app users see current information, while per-reader security enforcement helps keep data access governed according to each viewer’s permissions.
Who should care
Teams building and sharing data applications on Amazon Quick and QuickSight, particularly those needing real-time data access combined with existing governance and security controls.