Book Image

Learning AWS IoT

By : Agus Kurniawan
Book Image

Learning AWS IoT

By: Agus 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 (14 chapters)
Title Page
Packt Upsell

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 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: