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  1. Amazon Redshift is a fast, fully managed cloud data warehouse that makes it simple and cost-effective to analyze all your data.

  2. aws.amazon.com › es › redshiftAmazon Redshift

    Amazon Redshift utiliza SQL para analizar datos estructurados y semiestructurados en almacenamientos de datos, bases de datos operativas y lagos de datos, con hardware y machine learning diseñado por AWS para ofrecer rendimiento al mejor precio a cualquier escala.

  3. 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. 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.

  5. Learn about Amazon Redshift features that make it the fastest and most popular cloud data warehouse. Amazon Redshift is data lake and AWS integrated, secure, and easy to manage.

  6. Use Amazon Redshift to design, build, query, and maintain the relational databases that make up your data warehouse.

  7. Amazon Redshift powers data driven decisions for tens of thousands of customers every day, across all industries with a fully managed, AI-powered cloud data warehouse, delivering the best price performance for your analytics workloads.

  8. Amazon Redshift Proof-of-Concept Guide: Test, prove out, and adopt features ranging from best-in-class security capabilities, elastic scaling, easy integration and ingestion, and flexible decentralized data architecture options.

  9. An Amazon Redshift data warehouse is an enterprise-class relational database query and management system. Amazon Redshift supports client connections with many types of applications, including business intelligence (BI), reporting, data, and analytics tools.

  10. Amazon Redshift Serverless makes it easier to run and scale analytics in seconds without having to set up, manage, or scale data warehouse infrastructure.

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