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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 (14) Chapters Close

Title Page
Packt Upsell
Contributors
Preface
1. Getting Started with AWS IoT FREE CHAPTER 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

Consuming sensor data from Amazon QuickSight


To consume sensor data from Amazon QuickSight, we should provide supported sensor data sources. For the demo, we will consume sensor data from the Excel file. I have prepared this data.  You can download it from https://github.com/agusk/awsiot/raw/master/data/Sensor-Data.xlsx.

To implement this demo, perform the following steps:

  1. The first step to implement this demo is to register with Amazon QuickSight. At the time of writing, it provides a free scheme with a limited 1 GB storage. You can register at https://quicksight.aws.
  2. Next, we create sensor data. For this demo, I will prepare sensor data in Excel. You can download it at https://github.com/agusk/awsiot/raw/master/data/Sensor-Data.xlsx. You can also create your own sensor data. In general, this sensor data consists of temperature and humidity, as shown in the following screenshot. This data will be uploaded to Amazon QuickSight:

  1. Open Amazon QuickSight and select Manage Data. Then, you can create...
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