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Enterprise Internet of Things Handbook

By : Ravulavaru

5 (1)

Buy this Book

Enterprise Internet of Things Handbook

5 (1)

By: Ravulavaru

Buy this Book

Overview of this book

There is a lot of work that is being done in the IoT domain and according to Forbes the global IoT market will grow from $157B in 2016 to $457B by 2020. This is an amazing market both in terms technology advancement as well as money. In this book, we will be covering five popular IoT platforms, namely, AWS IoT, Microsoft Azure IoT, Google IoT Core, IBM Watson IoT, and Kaa IoT middleware. You are going to build solutions that will use a Raspberry Pi 3, a DHT11 Temperature and humidity sensor, and a dashboard to visualize the sensor data in real-time. Furthermore, you will also explore various components of each of the platforms that are needed to achieve the desired solution. Besides building solutions, you will look at how Machine Learning and IoT go hand in hand and later design a simple predictive web service based on this concept. By the end of this book, you will be in a position to implement an IoT strategy best-fit for your organization

Preface

Who this book is for

What this book covers

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Free Chapter

Introduction to IoT

Internet of Things

History

IoT and the market

IoT technology stack

Building blocks

IoT and security

End-to-end architecture

IoT standards

Summary

Further reading

Azure IoT

Designing a sample application

Building a sample application

Summary

Google Cloud IoT

Designing a sample application

Building a sample application

Summary

IBM Watson IoT

Designing the sample application

Building the sample application

Summary

Kaa IoT

Designing a sample application

Building a sample application

Summary

IoT and Machine Learning

What is machine learning?

Machine learning platforms

Rain prediction

Summary

Platform Comparisons

What is an IoT platform?

Features of an IoT platform

Comparison between platforms

Summary

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Platform Comparisons

In the last nine chapters, we have gone through the world of IoT. We started off with the building blocks, and we moved on to the real-world applications of IoT. Then we experienced it's implementation on five different IoT platforms and looked at how to work with an end-to-end IoT solution and off-the-shelf platforms. We have also taken a quick plunge into IoT and machine learning using the Microsoft Azure platform.

In this last chapter of our enterprise IoT journey, we will compare and contrast the IoT platforms we have looked at and define the situations in which they would be suitable.

Topics covered in this chapter are: