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  1. Service Highlights and Pricing – This product detail page provides the Amazon Redshift value proposition, service highlights, and pricing.. Getting started with Amazon Redshift Serverless – This topic walks you through the process of setting up a serverless data warehouse, creating resources, and querying sample data.. Amazon Redshift Database Developer Guide – If you are a database developer, this guide explains how to design, build, query, and maintain the databases that make up your ...

  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 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. Redshift differs from Amazon's other hosted database offering, Amazon RDS, in its ability to handle analytic workloads on big data data sets stored by a column-oriented DBMS ...

  4. Amazon Redshift Documentation

  5. Break through data silos in your organization and build an end to end data strategy to analyze all your data.Amazon Redshift employs a zero-ETL approach that enable interoperability and integration between the data warehouse, your Amazon S3 data lakes, operational and NoSQL databases such as Amazon Aurora, Amazon RDS, and Amazon DynamoDB, and even your streaming data services, so that the data is easily and automatically ingested into the warehouse for you or you can access the data in place ...

  6. Cluster – The core infrastructure component of an Amazon Redshift data warehouse is a cluster.. A cluster is composed of one or more compute nodes. The compute nodes run the compiled code.. If a cluster is provisioned with two or more compute nodes, an additional leader node coordinates the compute nodes. The leader node handles external communication with applications, such as business intelligence tools and query editors.

  7. Amazon Redshift is fully managed by AWS so you no longer need to worry about data warehouse management tasks such as hardware provisioning, software patching, setup, configuration, monitoring nodes and drives to recover from failures, or backups.

  8. Industry solutions with Amazon Redshift Amazon Redshift powers data-driven decisions for tens of thousands of customers every day, across all industries, from identifying fraud patterns across billions of transactions or health trends across patients, to improving customer recommendations with targeted content.

  9. Easily run analytics workloads of any size without managing data warehouse infrastructure. Developers, data scientists, and data analysts can work across data warehouses and data lakes to build reporting and dashboarding applications, perform real-time analytics, collaborate on data, and build and train machine learning (ML) models.

  10. Amazon Redshift node types: Choose the best cluster configuration and node type for your needs, and can pay for capacity by the hour with Amazon Redshift on-demand pricing.When you choose on-demand pricing, you can use the pause and resume feature to suspend on-demand billing when a cluster is not in use. You can also choose Reserved Instances instead of on-demand instances for steady-state workloads and get significant discounts over on-demand pricing.; Amazon Redshift Spectrum pricing: Run ...

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