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  2. aws.amazon.com/AWS/Redshift

    Amazon Redshift - Cloud-Powered Analytics & Data

    Amazon Redshift Uses Machine Learning to Deliver the Best Price Performance at Any Scale. Amazon Redshift'S Price-Performance Advantage Improves as Your Data Warehouse Grows.

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  1. aws.amazon.com › es › redshiftAWS | Solución de almacenamiento y análisis de datos en la nube

    Amazon Redshift es un servicio de AWS que ofrece una arquitectura de procesamiento masivo en paralelo (MPP) totalmente administrada, basada en IA, para el almacenamiento y el análisis de datos en la nube. Con Amazon Redshift, puede unificar, compartir y colaborar con sus datos, ejecutar consultas SQL y análisis de código abierto, y aprovechar aplicaciones de IA y ML integrales.

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

    Amazon Redshift is a fully managed, AI powered, MPP data warehouse that delivers the best price-performance for data analytics and ML. Learn how to use Amazon Redshift to unify, analyze, and collaborate on data across AWS and third party sources.

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

    Amazon Redshift is a fully managed, petabyte-scale data warehouse service that lets you access and analyze data without configurations. Learn how to use Amazon Redshift Serverless, provisioned clusters, SQL tools, and business intelligence applications.

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

    Learn how to use Amazon Redshift, a fast, fully managed, petabyte-scale data warehouse service that integrates with your existing BI tools. Find user guides, references, and tutorials for Amazon Redshift Serverless and Amazon Redshift clusters.

  6. aws.amazon.com › redshift › featuresAmazon Redshift Features - Cloud Data Warehouse - Amazon Web...

    Learn how Amazon Redshift offers modern, scalable, secure, and high-performance cloud data warehousing to analyze all your data. Explore its capabilities such as RA3 instances, Serverless, zero-ETL, ML, data sharing, and more.

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