Introduction to Data Warehousing on AWS with Amazon Redshift (2:07)
Introduction to Amazon Redshift
Tens of thousands of customers today rely on Amazon Redshift to analyze exabytes of data and run complex analytical queries, making it a widely used cloud data warehouse. Run and scale analytics in seconds on all your data without having to manage your data warehouse infrastructure.
Learn more »
Introduction to Amazon Redshift
Tens of thousands of customers today rely on Amazon Redshift to analyze exabytes of data and run complex analytical queries, making it the most widely used cloud data warehouse. Run and scale analytics in seconds on all your data without having to manage your data warehouse infrastructure.
Learn more »

Benefits

Break through data silos and gain near real-time and predictive insights on all your data in a few clicks, with no data copy.

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Gain up to 5x better price-performance than any other cloud data warehouse, with performance innovations available at no additional cost.

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Get from data to insights in seconds, without worrying about infrastructure management, with leading security and reliability capabilities.

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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.

Amazon Redshift Serverless

Easily run and scale analytics in seconds without provisioning and managing a data warehouse

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Use cases

Automatically create, train, and deploy machine learning models for predictive insights.

Securely share data among accounts, organizations, and partners while building applications on top of third-party data.

Build insight-driven reports and dashboards using Amazon QuickSight, Tableau, Microsoft PowerBI, or other business intelligence tools.

Get simplified data access, ingest, and egress from numerous programming languages and platforms without configuring drivers and managing database connections.


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