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Learning AWS IoT

You're reading from  Learning AWS IoT

Product type Book
Published in Jan 2018
Publisher Packt
ISBN-13 9781788396110
Pages 278 pages
Edition 1st Edition
Languages
Author (1):
Agus Kurniawan Agus Kurniawan
Profile icon Agus Kurniawan
Toc

Table of Contents (14) Chapters close

Title Page
Packt Upsell
Contributors
Preface
1. Getting Started with AWS IoT 2. Connecting IoT Devices to AWS IoT Platform 3. Optimizing IoT Computing Using AWS Greengrass 4. Building Local AWS Lambda with AWS Greengrass 5. Expanding IoT Capabilities with AWS IoT Button 6. Visualizing AWS IoT Data 7. Building Predictive Analytics for AWS IoT 8. Securing AWS IoT 1. Other Books You May Enjoy Index

Introducing Amazon QuickSight


In the previous section, we learned how to visualize sensor data from AWS IoT. We used Flot to generate data visualization. Some configurations and steps should be executed in order to visualize the data.

In this section, we will learn about Amazon QuickSight. This is one of the AWS services to visualize data for analytic purposes. Amazon QuickSight can visualize any data from any source. You should configure your data source in order to work with Amazon QuickSight.

Note

For further information on Amazon QuickSight, visit the official website at https://quicksight.aws.

A sample of Amazon QuickSight can be seen in the following screenshot:

You can watch an overview of Amazon QuickSight on YouTube. Check it out at https://www.youtube.com/watch?v=C_eT0xRNjCs.

In general, we can upload data from CSV or Excel files to Amazon QuickSight. Then, we perform data visualization. Amazon QuickSight supports AWS data sources. The following is a list of AWS data source that works...

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