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Learning AWS IoT

You're reading from   Learning AWS IoT Effectively manage connected devices on the AWS cloud using services such as AWS Greengrass, AWS button, predictive analytics and machine learning

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Product type Paperback
Published in Jan 2018
Publisher Packt
ISBN-13 9781788396110
Length 278 pages
Edition 1st Edition
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Author (1):
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Agus Kurniawan Agus Kurniawan
Author Profile Icon Agus Kurniawan
Agus Kurniawan
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Table of Contents (10) Chapters Close

Preface 1. Getting Started with AWS IoT 2. Connecting IoT Devices to AWS IoT Platform FREE CHAPTER 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 9. Other Books You May Enjoy

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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