From the course: Text to SQL: Amazon Redshift Serverless for Generative SQL in Amazon Q
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Introduction to Amazon Redshift
From the course: Text to SQL: Amazon Redshift Serverless for Generative SQL in Amazon Q
Introduction to Amazon Redshift
- [Narrator] Understanding databases is an essential seal, not only for data engineers, but also for data scientists and analysts. Oftentimes, we don't want to maintain or manage a database. Let's simplify this and build together in the cloud. If you are wanting to create a database for your enterprise needs, you may consider Amazon Redshift, which is a fully managed cloud data warehouse. It can handle your complex SQR queries with petabytes of data. To get started, you may choose to have provision clusters or go serverless. With zero administration, Amazon Web Services will manage your database configuration and you only pay for what you use. Amazon Redshift supports integrations for Amazon Bedrock and Zero-ETL, including SaaS applications and streaming data. We may share data between clusters, share SQR queries within our team, or even choose a serverless option. We may also access data lakes. Depending on your use case, for a testing or production load, you may choose Amazon…
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Contents
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Introduction to Amazon Redshift2m 4s
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Amazon Redshift provisioned clusters1m 13s
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Understanding Amazon Redshift Serverless57s
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Spinning up a database in Amazon Redshift Serverless8m 17s
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Understanding IAM permissions26s
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Creating a workgroup2m 27s
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Launching query editor1m 42s
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