Getting Started with Amazon Redshift

To get started with Amazon Redshift for free:

  1. Step through the Getting Started tutorial to create and provision your first cluster, then load and query sample data in minutes.
  2. For a conceptual introduction, see Amazon Redshift System Overview.
  3. Gain hands-on practice with Amazon Redshift through this free self-paced lab and this series of hands-on labs.
  4. When you're ready to start loading and analyzing your own data, see Designing Tables, Loading Data, Designing Queries in the Database Developer Guide.
  5. Analyze your data with any SQL client using industry-standard ODBC/JDBC connections. See Connecting to a Cluster in Management Guide for details.
  6. Check out business intelligence (BI) and data integration (ETL) vendors that have certified Amazon Redshift for use with their tools.
  7. Get trained by attending an instructor-led class.

Learn more about Amazon Redshift and how to get started from the resources below. To request support for your data warehouse proof-of-concept or evaluation, click here.

Try Amazon Redshift for free

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Get 750 free DC1.Large hours per month for 2 months. To start the trial:

Create an AWS account and sign in to the Amazon Redshift Console

Launch an Amazon Redshift cluster and select DC1.Large for Node Type

Request support for your proof-of-concept 

Report and ingest data for free using our Partner Free Trials

Want a Proof-of-Concept?

Request support for your proof-of-concept or evaluation
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Whitepaper: Data Warehousing on AWS

Learn how you can easily build your data warehouse on AWS with Amazon Redshift

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IDC: Business Value of Amazon Redshift

IDC's Amazon Redshift customer survey shows average 5-year ROI of 469%

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Customer Video: Philips

Philips uses Amazon Redshift for data science analyses to provide better healthcare

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Data Warehouse Modernization on AWS

Learn how to modernize your data warehouse on Amazon Redshift with the help of APN Partners.

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Hands-on Lab
Amazon Redshift Introduction Lab

Try Free Hands-On Lab

This self-paced enables you to test-drive Amazon Redshift and gain practical experience working with it. Designed by AWS subject matter experts, this hands-on training lab provides you step-by-step instructions to help you gain confidence working with Amazon Redshift and learn more about building your data warehouse on AWS. 

Start free lab here »

Advanced Lab Series

In this advanced lab series, you will delve deeper into the uses and capabilities of Amazon Redshift. You will use a remote SQL client to create and configure tables, and gain practice loading large data sets into Amazon Redshift. You will explore the effects of schema variations and compression, visualize the data, and run predictive analytics.

Start lab series here »

Recorded Webinars

Amazon Redshift is a fast, simple, petabyte-scale data warehousing service for $1,000 per TB per year. In this webinar, you'll get an overview of how Amazon Redshift uses columnar technology, optimized hardware, and massively parallel processing to deliver fast query performance on petabyte-size datasets. Learn how you can set up a fully functional data warehouse with just a few clicks in the AWS Management Console.

Watch it here »

 

Analyzing big data quickly and efficiently requires a data warehouse optimized to handle and scale for large datasets. Amazon Redshift is a fast, petabyte-scale data warehouse that makes it simple and cost-effective to analyze big data for a fraction of the cost of traditional data warehouses. By following a few best practices, you can take advantage of Amazon Redshift’s columnar technology and parallel processing capabilities to minimize I/O and deliver high throughput and query performance. This webinar will cover techniques to load data efficiently, design optimal schemas, and tune query and database performance.

Watch it here »

 

In this webinar, you will learn how to perform analytics and reporting on Amazon Redshift using business intelligence tools you are already using today. You will also hear from Yahoo and Looker on their use cases and best practices for reporting and analytics in Amazon Redshift. 

Watch it here »