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How it works. 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.
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.
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.
Amazon 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.
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.
Build a modern data architecture with scalable data lakes and data warehouses, purpose-built to get the best performance, scale, and cost advantages, with unified data access, security, and governance and built-in AI and ML. Modernize your data warehouse with Amazon Redshift.
Welcome to the Amazon Redshift Database Developer 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 the usual configurations of a provisioned data warehouse.
