In this course, you will learn the benefits, typical use cases, and technical concepts of Amazon Redshift. You can also try the service through a demonstration using the AWS Management Console. The cloud data warehouse service integrates with data lakes based on Amazon Simple Storage Service (Amazon S3). It also integrates with relational database services such as Amazon Relational Database Service (Amazon RDS) for PostgreSQL, Amazon Aurora PostgreSQL-Compatible Edition, Amazon RDS for MySQL, and Amazon Aurora MySQL-Compatible Edition. Amazon Redshift supports building and using machine learning (ML) models using familiar SQL commands, thereby reducing the skills needed to take advantage of ML.
   •   Course level: Fundamental
   •   Duration: 1 hour
Activities
This course includes presentations, graphics, and a demonstration with the option to follow along.
Course objectives
In this course, you will learn to:
   •   Understand how Amazon Redshift works
   •   Familiarize yourself with the technical concepts of Amazon Redshift
   •   List typical use cases for Amazon Redshift
   •   Specify what it would take to implement Amazon Redshift in a real-world scenario
   •   Recognize the benefits of Amazon Redshift
   •   Explain the cost structure of Amazon Redshift
   •   Use Amazon Redshift from the AWS Management Console
Intended audience
This course is intended for:
   •   Data warehouse engineers
   •   Solutions architects
Prerequisites
   •   One or more years of data warehouse management experience
   •   AWS Technical Essentials
Course outline
   •   Amazon Redshift Basics
   •   Using Amazon Redshift
   •   Learn More
