Amazon Q generative SQL in Amazon Redshift Query Editor Public Preview Demo | Amazon Web Services
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Опубликовано 5 августа 2024, 18:46
Amazon Q generative SQL capability in Amazon Redshift Query Editor provides SQL code recommendations based on natural language requests, thereby boosting the productivity of analysts, scientists, and engineers 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. Thus, this feature enables users of all skill levels to derive insights faster by accurately translating plain English requests into SQL code, thereby simplifying query authoring and increasing user productivity.The feature was launched during AWS re:Invent 2023, and is currently available for public preview in the AWS Regions of us-east-1 (N. Virginia), us-west-2 (Oregon) and eu-central-1 (Frankfurt).
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#amazonredshift #amazonq #generativesql #generativeai #datawarehouse #sql #cloudcomputing #AWS #AmazonWebServices #CloudComputing
Learn more at: go.aws/home
Subscribe:
More AWS videos: go.aws/3m5yEMW
More AWS events videos: go.aws/3ZHq4BK
Do you have technical AWS questions?
Ask the community of experts on AWS re:Post: go.aws/3lPaoPb
ABOUT AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers — including the fastest-growing startups, largest enterprises, and leading government agencies — are using AWS to lower costs, become more agile, and innovate faster.
#amazonredshift #amazonq #generativesql #generativeai #datawarehouse #sql #cloudcomputing #AWS #AmazonWebServices #CloudComputing
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