​WARNING: This lab is currently offered in a read-only format when it comes to QuickSight. ​While we work on a path forward to allow QuickSight access under the new pricing model and security limitations, you can grasp the learning objectives by reading through the provided lab notebook.

Once data is loaded into a database the question next becomes how can I make use of this data? Amazon Quicksight can solve that problem, by allowing you to visualize, embed, and share data quickly. These valuable insights allow users to look at quick summaries of aggregated information to make better business decisions. This lab is aimed at beginners who want to understand how to import and make their first insight.

Learning Objectives

Upon completion of this lab you will be able to:

• Learn and Understand Amazon QuickSight
• Learn how to connect to an Amazon Datasource
• Learn how to Visualize your data after importing a dataset

Intended Audience

This lab is intended for:

• Individuals starting out with data visualization
• Anyone interested in using Amazon QuickSight to visualize data

Prerequisites

You should possess:

• A basic understanding of Python
• A basic understanding of Amazon RDS

Updates

April 29th, 2024 - Resolved deployment issue

March 21st, 2024 - Resolved deployment issue

September 6th, 2022 - Resolved deployment error

May 13, 2022 - Updated instructions & screenshots to reflect the latest UI

November 19th, 2021 - Converted the lab to a "read-along" format for the QuickSight parts while we continue to find a path forward to allow QuickSight access under the new pricing model and security limitations

August 24th, 2021 - Provide security guardrails around the allowed QuickSight edition

March 11th, 2021 - Explained that it is OK to select to directly query the dataset if an error stating that there is not enough SPICE capacity available appears when creating the dataset (an AWS bug)