• views: 127
• date: 30 June 2025
• posted by: voska89

Enable text to SQL with AI-powered Amazon Q in Amazon Redshift Query Editor to generate queries with prompt engineering and retrieval-augmented generation (RAG).
Course details
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.
Homepage

https://www.linkedin.com/learning/text-to-sql-amazon-redshift-serverless-for-generative-sql-in-amazon-q

   
   
   

Forex Trading

Crypto Trading. 20 USD Bonus after KYC

We need your support!
Make a donation to help us stay online
        
Bitcoin (BTC)
bc1q08g9d22cxkawsjlf8etuek2pc9n2a3hs4cdrld
	
Bitcoin Cash (BCH)
qqvwexzhvgauxq2apgc4j0ewvcak6hh6lsnzmvtkem

Ethereum (ETH)
0xb55513D2c91A6e3c497621644ec99e206CDaf239

Litecoin (LTC)
ltc1qt6g2trfv9tjs4qj68sqc4uf0ukvc9jpnsyt59u

USDT (ERC20)
0xb55513D2c91A6e3c497621644ec99e206CDaf239

USDT (TRC20)
TYdPNrz7v1P9riWBWZ317oBgJueheGjATm

0 1 2 3 4 5

| Print version |

	Information
		Users of GUESTS are not allowed to comment this publication.