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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 IoT massive data


These days, there is a lot of data we can find from various sources. Customer profiles, e-commerce transactions, sensor data from IoT, and social media are massive data. Regarding the data from IoT,  Gartner reported that 8.4 billion connected things were used in 2017. For more information, refer to https://www.gartner.com/newsroom/id/3598917. Gartner predicts that connected things, such as IoT devices, will reach 20.4 billion by 2020. 

As we know, there are a lot of new IoT platforms to implement IoT projects. These boards can generate sensor data. Each data has its own data type that represents sensor information, such as temperature and humidity.

The following figure illustrates that data comes from any source, such as sensor, transaction, social media, news, email, and medical. This data is regarded as massive data in the internet era:

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