Book Image

Enterprise Internet of Things Handbook

By : Arvind Ravulavaru
Book Image

Enterprise Internet of Things Handbook

By: Arvind Ravulavaru

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

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Table of Contents (12 chapters)
Preface
Preface
Who this book is for
What this book covers
To get the most out of this book
Get in touch
Free Chapter
1
Introduction to IoT
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
2
Applications of IoT
Applications of IoT
IoT and its value proposition
Healthcare and IoT
Industrial IoT
Other applications of IoT
Summary
3
Getting Started with IoT Platforms
Getting Started with IoT Platforms
IoT platform or IoT middleware
Setting up the Raspberry Pi 3
Setting up ThingSpeak
Building the solution
Summary
4
AWS IoT
AWS IoT
AWS IoT
Designing the sample application
Building the sample application
Summary
Further reading
5
Azure IoT
Azure IoT
Azure IoT
Designing a sample application
Building a sample application
Summary
6
Google Cloud IoT
Google Cloud IoT
Google Cloud IoT
Designing a sample application
Building a sample application
Summary
7
IBM Watson IoT
IBM Watson IoT
IBM Watson IoT
Designing the sample application
Building the sample application
Summary
8
Kaa IoT
Kaa IoT
Kaa IoT
Designing a sample application
Building a sample application
Summary
9
IoT and Machine Learning
IoT and Machine Learning
What is machine learning?
Machine learning platforms
Rain prediction
Summary
10
Platform Comparisons
Platform Comparisons
What is an IoT platform?
Features of an IoT platform
Comparison between platforms
Summary
11
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Google Cloud IoT

In the previous chapter, we looked at how to build an end-to-end IoT solution using Raspberry Pi 3, a DHT11 temperature and humidity sensor, and the Azure IoT platform. In this chapter, we are going to implement this using Google IoT. Along with that, we are going to work on building a dashboard using Google Data Studio and BigQuery.

The topics covered in this chapter are:

  • Google IoT architecture
  • Setting up an end-to-end solution using Google IoT and Google Pub/Sub
  • Setting up a visualization dashboard for the solution using Google Cloud Functions and Google Data Studio
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End of Section 1
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