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  1. Amazon Redshift is a data warehouse product which forms part of the larger cloud-computing platform Amazon Web Services. It is built on top of technology from the massive parallel processing (MPP) data warehouse company ParAccel (later acquired by Actian), to handle large scale data sets and database migrations.

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

  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. 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.

  7. With Amazon Redshift, you can start small at $0.25 per hour and scale up to petabytes of data and thousands of concurrent users. Choose what is right for your business needs, with the ability to grow storage without over-provisioning compute or storage.

  8. 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.

  9. Amazon Redshift is deeply integrated with AWS database, analytics, and machine learning services to employ Zero-ETL approaches or help you access data in place for near real-time analytics, build machine learning models in SQL, and enable Apache Spark analytics using data in Redshift.

  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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