Big Data - Data Visualization

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In this course, we learn how to determine the appropriate techniques for delivering the results/output of a query or analysis. We examine how to design and create a visualization using AWS services, and how to optimize visualization services to present results in an effective and accessible manner. We introduce and outline the core AWS analysis tools and then work through how to integrate and output data to enable business decisions using QuickSight.

Amazon QuickSight makes it easy to build visualizations, perform ad hoc analysis, and quickly get business insides from your data. It has a number of pre-configured reports which take out the undifferentiated heavy lifting of creating visual reports. A benefit of QuickSight is that it's integrated into our AWS dashboard and our AWS account, and this is where reports and graphs can be viewed by team members, staff, etc.

QuickSight also makes it easy for business teams to create and share interactive graphs and reports as stories, and if we have any additional data sources added in the future, those can just simply be added as Amazon QuickSight database sources. When we create visuals using QuickSight, the style and format of graphs are automatically selected by the QuickSight engine, which saves time and improves the quality of reports and visuals.

Learning objectives

  • Recognize and explain how to determine the appropriate techniques for delivering the results/output of a query or analysis
  • Recognize and explain how to design and create data visualizations
  • Recognize and explain the operational characteristics to gain simple and timely results from Amazon QuickSight


Analytics Fundamentals

Big Data - Collection

Big Data - Processing


- [Instructor] Okay. That concludes our data visualization course. And in this course, we examined how to design and create data visualizations using AWS services. We explored data visualization use cases, and we looked at how to optimize visualization services to present results in an effective, accessible manner. We explored Amazon Quicksight, and how it can be used to enable business decisions. And lastly, we explored how to import and use data into the Quicksight service, how to create, compile, and share visualizations with Amazon Quicksight. So that brings us to the conclusion of this course. Thank you for your attention, and please address any questions or comment to us at

About the Author
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Head of Content

Andrew is an AWS certified professional who is passionate about helping others learn how to use and gain benefit from AWS technologies. Andrew has worked for AWS and for AWS technology partners Ooyala and Adobe.  His favorite Amazon leadership principle is "Customer Obsession" as everything AWS starts with the customer. Passions around work are cycling and surfing, and having a laugh about the lessons learnt trying to launch two daughters and a few start ups.