Amazon QuickSight now supports multi-dataset Topics to create a unified semantic layer across different datasets. This feature enables chat agents to generate cross-dataset queries using defined relationships. The blog demonstrates this with a retail analytics example, showing practical implementation.
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In this post, we walk through how multi-dataset Topics work, explain how the chat agent uses defined relationships to generate cross-dataset queries, and demonstrate an end-to-end implementation using a retail analytics scenario in Quick Sight.
Amazon Quick is an AI-powered unified intelligence service that connects structured data and unstructured enterprise content so teams can explore, analyze, and act from one place.