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

    Introduction. Welcome to the Amazon Redshift Database Developer Guide. Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. Amazon Redshift Serverless lets you access and analyze data without the usual configurations of a provisioned data warehouse. Resources are automatically provisioned and data warehouse ...

    • SQL Commands

      The SQL language consists of commands that you use to create...

    • Amazon Redshift

      Amazon Redshift is a fast, fully managed, petabyte-scale...

  2. docs.aws.amazon.com › redshift › latestTutorials for Amazon Redshift - Amazon Redshift

    Follow the steps in these tutorials to learn about Amazon Redshift features: Tutorial: Loading data from Amazon S3. Tutorial: Querying nested data with Amazon Redshift Spectrum. Tutorial: Configuring manual workload management (WLM) queues. Tutorial: Using spatial SQL functions with Amazon Redshift. Tutorials for Amazon Redshift ML.

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  4. docs.aws.amazon.com › redshiftAmazon 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. It is optimized for datasets ranging from a few hundred gigabytes to a petabyte or more and costs less than $1,000 per terabyte per year, a ...

  5. aws.amazon.com › redshift › getting-startedGetting started with Amazon Redshift

    Redshift Management Guide: An overview of Amazon Redshift’s value propositions, service highlights, pricing and context around the Amazon Redshift Serverless and Developer Guides. Redshift Getting Started Guide: Load and analyze your own data. Analyze your data with any SQL client using industry-standard ODBC/JDBC.

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  7. docs.aws.amazon.com › redshift › latestAmazon Redshift - Getting Started Guide

    Amazon Redshift Getting Started Guide 5. Now use the COPY command in query editor v2 to load large datasets from Amazon S3 or Amazon DynamoDB into Amazon Redshift. For more information about COPY syntax, see COPY in the Amazon Redshift Database Developer Guide. You can run the COPY command with some sample data available in a public S3 bucket. Run

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  8. docs.aws.amazon.com › redshift › latestAmazon Redshift best practices - Amazon Redshift

    Amazon Redshift best practices. PDF RSS. Following, you can find best practices for planning a proof of concept, designing tables, loading data into tables, and writing queries for Amazon Redshift, and also a discussion of working with Amazon Redshift Advisor. Amazon Redshift is not the same as other SQL database systems.

  9. docs.aws.amazon.com › redshift › latestSQL commands - Amazon Redshift

    The SQL language consists of commands that you use to create and manipulate database objects, run queries, load tables, and modify the data in tables. Amazon Redshift is based on PostgreSQL. Amazon Redshift and PostgreSQL have a number of important differences that you must be aware of as you design and develop your data warehouse applications.

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