From the course: Text to SQL: Amazon Redshift Serverless for Generative SQL in Amazon Q

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Amazon Q generative SQL in Amazon Redshift

Amazon Q generative SQL in Amazon Redshift

From the course: Text to SQL: Amazon Redshift Serverless for Generative SQL in Amazon Q

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Amazon Q generative SQL in Amazon Redshift

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- [Instructor] According to Harvard University, SQL is a valuable technical skill to master as professionals help make decisions by wearing the hat of a developer and also an analyst. With generative AI capabilities accessible from cloud data warehouse Amazon Redshift with Amazon Q, analyst, developers and data scientists may extract data with text-to-SQL. The generative AI assistant Amazon Q empowers everyone to ask questions using natural language as you would speaking to a friend, and then generate code recommendations from Amazon Redshift Query Editor V2. To get started with Gen AI capabilities, we would need a prompt and also database schema to generate SQL statements. Let's examine this high-level architecture of text-to-SQL for code generation. Amazon Q is powered by Amazon Bedrock, which is a fully managed service that provides access to leading AI providers to build foundation models that we may customize with RAG and fine-tuning. In this example, we may upload project data…

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