From the course: Text to SQL: Amazon Redshift Serverless for Generative SQL in Amazon Q
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Accessing query history
From the course: Text to SQL: Amazon Redshift Serverless for Generative SQL in Amazon Q
Accessing query history
- [Instructor] Oftentimes, data teams are really busy. They receive a lot of requests regarding access to different tables and ad hoc requests, but sometimes we receive different requests from different project teams to have access to their tables and also databases. So as we know, Amazon Q Generative SQL is personalized to our schema. And as a database administrator, we have the ability, we have full access to grant restricted access to data analysts, data scientists, and data engineers, certain access to our database for a specified period. So let's navigate to Amazon Redshift, and let's create a role. So as we know, we will click into the editor. But before we do that, let's navigate to our settings. And as a database administrator, we have full administrative rights, and we know that Amazon Q has already been enabled, and we have the ability to grant access or remove access as administrator and based on different roles and permissions. So we'll click into the plus sign to open up…
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Contents
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Generating SQL queries2m 11s
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Understanding the solution architecture2m 9s
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Prompt engineering in SQL query context3m 51s
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RAG in SQL query context3m 1s
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How are SQL queries generated?2m 29s
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Accessing query history7m 18s
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Best practice: Asking a good question3m 34s
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Troubleshooting SQL query errors5m 37s
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