Amazon Redshift is a fully managed, AI-powered cloud data warehouse that delivers the best price-performance for your analytics workloads at any scale. Amazon Q generative SQL brings the capabilities of generative AI directly into the Amazon Redshift query editor. Amazon Q generative SQL for Amazon Redshift was launched in preview during AWS re:Invent 2023. With over 85,000 queries executed in preview, Amazon Redshift announced the general availability in September 2024. By Raghu Kuppala, Phil Bates, Xiao Qin, Erol Murtezaoglu, and Sushmita Barthakur.
Amazon Q generative SQL for Amazon Redshift uses generative AI to analyze user intent, query patterns, and schema metadata to identify common SQL query patterns directly within Amazon Redshift, accelerating the query authoring process for users and reducing the time required to derive actionable data insights
At a high level, the feature works as follows:
- For generating the SQL code, you can write your query request in plain English within the conversational interface in the Redshift query editor
- The query editor sends the query context to the underlying Amazon Q generative SQL platform, which uses generative AI to generate SQL code recommendations based on your Redshift metadata
- You receive the generated SQL code suggestions within the same chat interface
Within this feature, user data is secure and private. Your data is not shared across accounts. Your queries, data and database schemas are not used to train a generative AI foundational model (FM). Your input is used as contextual prompts to the FM to answer only your queries. Follow the link to the full article to learn how it works!
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