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  1. 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.

  2. 19 de ene. de 2024 · Amazon Redshift is built around industry-standard SQL, with added functionality to manage very large datasets and support high-performance analysis and reporting of those data.

  3. Learn about the standard SQL commands that Amazon Redshift uses to create database objects, run queries, load tables, and modify the data in tables.

  4. Amazon Redshift se desarrolla en torno a SQL estándar del sector, con la funcionalidad agregada de administrar conjuntos de datos muy grandes y admitir el análisis y la generación de informes de alto rendimiento de esos datos.

  5. www.w3schools.com › aws › aws_cloudessentials_amazonredshiftAWS Cloud Redshift - W3Schools

    AWS Redshift is powered by SQL, AWS-designed hardware, and machine learning. It is great when data becomes too complex for the traditional relational database. The image illustrates how AWS Redshift works.

  6. 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.

  7. Query and analyze your data in Amazon Redshift Query Editor SQL Notebooks without requiring permissions to access the Amazon Redshift console. Use Query Editor features such as navigator and visual wizards to browse database objects, create tables and functions, and load.