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
Table of Contents (12 chapters)

Summary

In this chapter, we have seen how to work with Azure IoT hub. We have created an IoT hub and set up a device. Also, we have written a Node.js client that runs on a Raspberry Pi 3, which sends the temperature and humidity data from a DHT11 sensor. We next set up a client that receives this data in real time.

After that, we set up Power BI and a stream analytics job to send data from the IoT hub to Power BI, and, in Power BI, we built a dashboard to visualize the data.

In the next chapter, we are going to work with the Google IoT platform.