Amazon Redshift Explained | What is AWS Redshift Tutorial | Getting Started with AWS Redshift basics

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.
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.

This Amazon Redshift tutorial will help you understand the different features offered by AWS Redshift. Amazon Redshift is a fast, fully managed data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL and your existing Business Intelligence (BI) tools. It allows you to run complex analytic queries against petabytes of structured data, using sophisticated query optimization, columnar storage on high-performance local disks, and massively parallel query execution. Most results come back in seconds. With Amazon Redshift, you can start small for just $0.25 per hour with no commitments and scale out to petabytes of data for $1,000 per terabyte per year, less than a tenth the cost of traditional solutions.

The "Red" in Redshift's name alludes to Oracle, a competing computer technology company sometimes informally referred to as "Big Red" due to its red corporate color. Hence, customers choosing to move their databases from Oracle to Redshift would be "shifting" from "Red".
This video demonstrates how you can quickly and easily get started with Amazon Redshift and start asking questions of your data.
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 principle. Redshift allows up to 16 petabytes of data on a cluster compared to Amazon RDS Aurora's maximum size of 128 terabytes.
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