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      • This guide focuses on helping you understand how to use Amazon Redshift to create and manage a data warehouse. 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.
      docs.aws.amazon.com/redshift/latest/dg/welcome.html

      Introduction - Amazon Redshift

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

    Welcome to the Amazon Redshift Management 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 all of the configurations of a provisioned data warehouse.

  4. docs.aws.amazon.com › redshift › latestAmazon Redshift - Management Guide

    ifits Amazon Redshift? Management Guide Welcome to the Amazon Redshift Management Guide. Amazon Redshift is a fully managed, warehouse.

  5. 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.

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  7. 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 connections.

  8. www.datacamp.com › tutorial › guide-to-dataA Complete Guide to DataWarehousing on AWS with Redshift

    Jun 13, 2024 · This guide to AWS Redshift covers setting up and managing a cloud data warehouse, loading data, running complex queries, optimizing performance, integrating with BI tools, and provides best practices and troubleshooting tips for success. Jun 13, 2024 · 20 min read.

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  9. aws.amazon.com › blogs › big-dataManage your workloads better using Amazon Redshift Workload ...

    Sep 25, 2023 · Amazon Redshift workload management (WLM) helps you maximize query throughput and get consistent performance for the most demanding analytics workloads by optimally using the resources of your existing data warehouse.

  10. aws.amazon.com › redshift › faqsAmazon Redshift FAQs - Cloud Data Warehouse - Amazon Web Services

    Amazon Redshift ML allows you to leverage your data in Amazon Redshift with Amazon SageMaker, a fully managed ML service. Amazon Redshift supports both unsupervised learning (K-Means) and supervised learning (Autopilot, XGBoost, MLP algorithms).