To get started with Amazon Redshift:
- Read a conceptual introduction in the Amazon Redshift System Overview.
- Step through the Getting Started tutorial to create and provision your first cluster, then load and query sample data in minutes.
- Gain hands-on practice through this series of hands-on labs.
- Load and analyze your own data. See Designing Tables, Loading Data, Designing Queries in the Database Developer Guide.
- Analyze your data with any SQL client using industry-standard ODBC/JDBC connections. See Connecting to a Cluster in the Management Guide for details.
- Learn how to query data stored in Amazon S3, without moving the data, using Redshift Spectrum. See the Getting Started with Redshift Spectrum tutorial.
- Check out business intelligence (BI) and data integration (ETL) vendors that have certified Amazon Redshift for use with their tools.
- Get trained to be an expert by attending an instructor-led class.
Learn more about Amazon Redshift and how to get started from the resources below.
If you are building a proof-of-concept solution with Amazon Redshift, we recommend that you read Building a Proof of Concept for Amazon Redshift. To request assistance from us for your proof-of-concept, click here.
Get started with Amazon Redshift
Hands-on labs and classes
Introduction to Amazon Redshift
The lab gives you a basic understanding of Amazon Redshift data warehouse service. It demonstrates the steps to create a cluster, load data, and run queries against the data.
Working with Amazon Redshift
The lab demonstrates how to use Amazon RedShift to create a cluster, load data, run queries and monitor performance. Note: Students will download a free SQL client as part of this lab.
Using Tableau Desktop with Amazon Redshift
Learn how to load data from Amazon S3 into Redshift, connect Tableau Desktop to Redshift, and create a dashboard using Tableau.
Advanced Amazon Redshift: Data Loading
In this lab, you will experiment with and compare different types of data loading using Amazon Redshift.
Advanced Amazon Redshift: Table Layout & Schema Design
In this lab, you will examine table layouts and schema designs. You will create tables using various methods for data compression and distribution, and analyze which work best.
Data Warehousing on AWS, Instructor-led class
In this course, you will learn concepts, strategies, and best practices for designing a cloud-based data warehousing solution using Amazon Redshift.
Find more 10 minute tutorials.
Additional resources
Discover more Amazon Redshift resources
