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  1. docs.aws.amazon.com › redshiftAmazon Redshift Documentation

    Amazon Redshift Documentation. Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse service that makes it simple and cost-effective to efficiently analyze all your data using your existing business intelligence tools.

  2. docs.aws.amazon.com › redshift › latestWhat is Amazon Redshift? - Amazon Redshift - docs.aws.amazon.com

    Learn the basics of Amazon Redshift, a data warehouse service in the cloud, and managing your Amazon Redshift resources.

  3. docs.aws.amazon.com › redshift › latestIntroduction - Amazon Redshift

    If you work with databases as a designer, software developer, or administrator, this guide gives you the information you need to design, build, query, and maintain your data warehouse. Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud.

  4. docs.aws.amazon.com › redshift › latestLearn Amazon Redshift concepts

    Amazon Redshift Serverless feature overview – In this topic, you can find an overview of Amazon Redshift Serverless and its key capabilities. Service highlights and pricing – On this product detail page, you can find details about Amazon Redshift Serverless highlights and pricing.

  5. docs.aws.amazon.com › redshift › latestSQL reference - Amazon Redshift

    Sep 17, 2024 · Need help? Try AWS re:Post. Connect with an AWS IQ expert. Describes the SQL functions that Amazon Redshift uses.

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  7. docs.aws.amazon.com › redshift › latestGet started with Amazon Redshift Serverless data warehouses

    The basic flow of Amazon Redshift Serverless is to create serverless resources, connect to Amazon Redshift Serverless, load sample data, and then run queries on the data. In this guide, you can choose to load sample data from Amazon Redshift Serverless or from an Amazon S3 bucket.

  8. aws.amazon.com › redshiftCloud Data Warehouse - Amazon Redshift - AWS

    How it works. Amazon Redshift uses SQL to analyze structured and semi-structured data across data warehouses, operational databases, and data lakes, using AWS-designed hardware and machine learning to deliver the best price performance at any scale. Use cases. Improve financial and demand forecasts.

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