Visualizing Data in Amazon QuickSight

Developed with
Calculated Systems

Lab Steps

lock
Logging in to the Amazon Web Services Console
lock
Opening the Lab's Jupyter Notebook
This lab is currently under maintenance and unavailable. We're actively working to resolve this issue and we apologize for any inconvenience.

This lab is awaiting a resolution of an issue with the cloud vendor.

Ready for the real environment experience?

DifficultyBeginner
Time Limit1h
Students549
Ratings
3.8/5
starstarstarstar-halfstar-border

Description

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

Prerequisites

You should possess:

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

Updates

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)

About the Author
Students9315
Labs31
Courses13
Learning paths21

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.