Visualizing Data in Amazon QuickSight

Developed with
Calculated Systems

Lab Steps

Logging in to the Amazon Web Services Console
Opening the Lab's Jupyter Notebook

Ready for the real environment experience?

Time Limit1h


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 for 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


You should possess:

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

About the Author


Calculated Systems was founded by experts in Hadoop, Google Cloud and AWS. Calculated Systems enables code-free capture, mapping and transformation of data in the cloud based on Apache NiFi, an open source project originally developed within the NSA. Calculated Systems accelerates time to market for new innovations while maintaining data integrity.  With cloud automation tools, deep industry expertise, and experience productionalizing workloads development cycles are cut down to a fraction of their normal time. The ability to quickly develop large scale data ingestion and processing  decreases the risk companies face in long development cycles. Calculated Systems is one of the industry leaders in Big Data transformation and education of these complex technologies.