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)

Designing a sample application

In this section, we are going to build a sample application using the Google Cloud IoT Core.

Solution

The solution we are going to build is going to be similar to the one from Chapter 4, AWS IoT. We are going to connect a DHT11 sensor to Raspberry Pi 3 and then transmit the data over GCIC using MQTTS. Once the data reaches the Pub/Sub topic, we will pass this data to a Google Cloud Function. The Google Cloud Function will then take this data and insert it into Google BigQuery. Finally, using a Google Data Studio BigQuery connector, we will connect the two services and build our visualizations and reports.

In the next section, we are going to look at the overall architecture of the solution.

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