Advanced Operations Using Amazon Redshift
5 Labs · 33 Credits · 4h 55mService Area
The labs in this quest will provide hands-on experience with the practical aspects of loading, manipulating, querying, and connecting to Amazon Redshift to gain insight and business benefit from large data sets.
The lab will give you the basic understanding of Amazon Redshift data warehouse service. It will demonstrate the basic steps required to get started with Redshift: creating a cluster, loading data and performing queries against that data.
introductory Free 30 Minutes
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.
advanced Free 45 Minutes
In this hands-on lab, you'll learn how to load data from Amazon S3 into an Amazon Redshift cluster and use Tableau Desktop for creating visualizations from that dataset. Note: registration and providing your personal contact information to Tableau is required for access to the trial version of Tableau Desktop needed for this lab. You may be contacted by Tableau as per their license agreements, which are provided during installation. Pre-requisites: Familiarity with Data-Warehousing and Business-intelligence concepts and basic knowledge of Amazon Redshift is required for this lab. If you’re not familiar with Amazon Redshift, then you can take the introductory lab “Introduction to Amazon Redshift” at qwiklabs.com. You should also be comfortable using a Windows Server environment via Remote Desktop.
fundamental 8 Credits 45 Minutes
In this lab, you will experiment with and compare different types of data loading using Amazon Redshift. You will create tables, load data using S3, remote hosts, and practice troubleshooting data loading errors. For the lab to function as written, please DO NOT change the auto assigned region.
advanced 10 Credits 45 Minutes
In this lab, you will take a close look at different types of table layout and schema design. You will create tables using various methods for data compression and distribution, and analyze which methods work best, including incorporating Amazon Redshift recommendations. You will conclude the lab by building five different versions of the same table, and analyzing how the differences impact storage requirements and query performance. Pre-requisites: To successfully complete this lab, you should be familiar with Redshift concepts by taking the "Introduction to Amazon Redshift" and "Working with Amazon Redshift" labs at qwiklabs.com. Knowledge of SQL programming is required, although full solution code is provided.
expert 15 Credits 1 Hour 45 Minutes