Introducing Dataset Q&A: Expanding natural language querying for structured datasets in Amazon Quick

This article introduces Dataset Q&A, a new natural language querying capability in Amazon QuickSight that enables users to query structured datasets directly without pre-configuration.

• Translates natural language questions into SQL queries executed against complete datasets in seconds
• No row sampling, topic curation, or pre-configured fields required for ad-hoc data exploration
• Complements existing Dashboard Q&A and Topic Q&A with flexible, unrestricted dataset access
• Automatically enforces row-level and column-level security without additional setup
• Includes Chat Explainability feature showing generated SQL and step-by-step reasoning
• Supports Dataset Enrichment for authors to add business context via YAML, JSON, or plain text
• Works with multiple datasets and Spaces for cross-asset analysis and auto-discovery
• Supports Amazon Athena, Redshift, Aurora PostgreSQL, and S3 Tables in direct query mode
• Handles complex queries with runtime calculations, filters, and multi-part questions

Dataset Q&A removes bottlenecks in BI workflows by enabling self-service data exploration while maintaining enterprise security and transparency through SQL inspection capabilities.