Linkedin Learning – Text To SQL-Amazon Redshift Serverless For Generative SQL In Amazon Q

Are you ready to extract data and gain faster insights? In this course, learn how to enable text to SQL with AI-powered assistant Amazon Q in Amazon Redshift Query Editor to generate queries with prompt engineering and retrieval-augemented generation (RAG). Instructor Wendy Wong takes you through the architecture of Amazon Q to help you identify table schemas from your data and redefine the heavy lifting of figuring out table relationships. Along the way, learn to use prompts in natural language to produce customized SQL. By the end of this course, you’ll be prepared to use Amazon Q to help you to troubleshoot coding errors and regenerate code that you can run in SQL Notebook.

RAPIDGATOR:
https://rapidgator.net/file/b742d25894c331579bc334a746bce3fb/Linkedin.Learning.Text.To.SQL-Amazon.Redshift.Serverless.For.Generative.SQL.In.Amazon.Q.BOOKWARE-SCHOLASTiC.rar.html

TURBOBIT:
https://trbt.cc/m1pq20pnjugm/Linkedin.Learning.Text.To.SQL-Amazon.Redshift.Serverless.For.Generative.SQL.In.Amazon.Q.BOOKWARE-SCHOLASTiC.rar.html