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Learning AWS IoT

Learning AWS IoT

By : Kurniawan
2.8 (6)
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Learning AWS IoT

Learning AWS IoT

2.8 (6)
By: Kurniawan

Overview of this book

The Internet of Things market increased a lot in the past few years and IoT development and its adoption have showed an upward trend. Analysis and predictions say that Enterprise IoT platforms are the future of IoT. AWS IoT is currently leading the market with its wide range of device support SDKs and versatile management console. This book initially introduces you to the IoT platforms, and how it makes our IoT development easy. It then covers the complete AWS IoT Suite and how it can be used to develop secure communication between internet-connected things such as sensors, actuators, embedded devices, smart applications, and so on. The book also covers the various modules of AWS: AWS Greengrass, AWS device SDKs, AWS IoT Platform, AWS Button, AWS Management consoles, AWS-related CLI, and API references, all with practical use cases. Near the end, the book supplies security-related best practices to make bi-directional communication more secure. When you've finished this book, you'll be up-and-running with the AWS IoT Suite, and building IoT projects.
Table of Contents (10 chapters)
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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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