Amazon Q generative SQL capability in Amazon Redshift Query Editor provides SQL code recommendations based on natural language requests. This feature boosts user productivity by quickly generating queries tailored to their data warehouse, allowing them to extract insights more efficiently. It analyzes user intent, query patterns, and schema metadata using Large Language Models (LLMs) to quickly produce customized and personalized SQL code for your Redshift data warehouse. Learn how to set up this feature to quickly get started generative SQL with natural language prompts and about new functionality of the feature such as custom context. Read the What's New post to get started: awsonair.net/3TFQQdN Follow AWS OnAir: LinkedIn: bit.ly/AWSOnAir-LinkedIn Twitch: bit.ly/Twitch-AWS-OnAir ABOUT AWS Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS ...