▶Book Description
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
▶What You Will Learn
⦁ Connect a Temperature and Humidity sensor and see how these two can be managed from various platforms
⦁ Explore the core components of AWS IoT such as AWS Kinesis and AWS IoTRules Engine
⦁ Build a simple analysis dashboard using Azure IoT and Power BI
⦁ Understand the fundamentals of Google IoT and use Google core APIs to build your own dashboard
⦁ Get started and work with the IBM Watson IoT platform
⦁ Integrate Cassandra and Zeppelin with Kaa IoT dashboard
⦁ Review some Machine Learning and AI and get to know more about their implementation in the IoT domain.
▶Key Features
⦁ Work with various trending IoT platforms such as AWS IoT, Azure IoT, Google IoT, IBM Watson IoT, and Kaa IoT
⦁ Gain hands-on knowledge working with Cloud-based IoT platforms, IoT Analytics, and so on.
⦁ A practical guide that will help you build IoT strategies for your organization
▶Who This Book Is For
This book is targeted at IoT architects and engineers, or any stakeholders working with IoT solutions in an organization. This book will also help decision makers and professionals from small- and medium-sized enterprises build an IoT strategy for their venture.
▶What this book covers
⦁ Chapter 1, Introduction to IoT, introduces you to the concept of the Internet of Things or IoT and talks about how it all started. This chapter also elaborates on the IoT market and what it would be for an enterprise. Once we understand the market, we will be looking at various building blocks of IoT.
⦁ Chapter 2, Applications of IoT, covers various applications that are possible in the IoT space. This chapter showcases two major domains, healthcare and industrial IoT, and how enterprises can easily expand their horizons and penetrate the IoT market.
⦁ Chapter 3, Getting Started with IoT Platforms, talks about what off-the-shelf IoT platforms are and how they reduce the time and effort needed for anyone to quickly build enterprisegrade IoT solutions. This chapter introduces you to the five platforms that we are going to work with in this book. We will also be setting up Raspberry Pi 3, along with ThingSpeak platform to build an end-to-end solution that showcases the platform idea in its simplest form.
⦁ Chapter 4, AWS IoT, explains how to use the AWS IoT service to build an end-to-end solution with Raspberry Pi 3 as our main hardware. We will explore concepts such as Things, shadows, and rules services. To create a real-time dashboard, we will be working with Elasticsearch and Kibana.
⦁ Chapter 5, Azure IoT, explains how to use the Azure IoT service to build an end-to-end solution with Raspberry Pi 3 as our main hardware. We will explore concepts such as the IoT Hub and device twins. In order to create a real-time dashboard, we will be working with Power BI and stream analytics job.
⦁ Chapter 6, Google Cloud IoT, explains how to use Google Cloud IoT Core service to build an end-to-end solution with Raspberry Pi 3 as our hardware. We will explore concepts such as device registry, topics, and Pub/Sub subscriptions. To create a real-time dashboard, we will be working with BigQuery and Google Data Studio.
⦁ Chapter 7, IBM Watson IoT, explains how to use Watson IoT platform to build an end-toend solution with Raspberry Pi 3 as our main hardware. We will explore concepts such as device registry, topics, and Pub/Sub subscriptions. In order to create a real-time dashboard we will be working with Watson IoT platform boards by creating schemas.
⦁ Chapter 8, Kaa IoT, explains how to use the most popular open source Kaa IoT middleware to build an end-to-end solution with Raspberry Pi 3 as our hardware. We will explore concepts such as applications, appenders, and Kaa schemas. In order to create a real-time dashboard, we will be working with REST appenders and the ThingsBoard platform.
⦁ Chapter 9, IoT and Machine Learning, demonstrates the true capability of IoT through the power of machine learning. In this chapter, we will understand machine learning at a high level and, using Azure Machine Learning Studio, we will build a simple web service that will predict the chance of rain based on the temperature, and humidity.
⦁ Chapter 10, Platform Comparisons, concludes this book by comparing the five IoT platforms we have worked on, based on various parameters. This chapter also talks about various IoT architectural solutions that can be built using these platforms.
