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  • Author: rukensai
  • Date: 9-05-2018, 10:49
9-05-2018, 10:49

Free Download Enterprise Internet of Things Handbook

Category: E-Books

Enterprise Internet of Things Handbook

English | Apr 2018 | ISBN: 1788838394 | 332 Pages | EPUB | 19.06 MB

Get familiar with the building blocks of IoT solutions using off–the-shelf IoT platforms.

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.

Table of Contents
1: INTRODUCTION TO IOT
2: APPLICATIONS OF IOT
3: GETTING STARTED WITH IOT PLATFORMS
4: AWS IOT
5: AZURE IOT
6: GOOGLE CLOUD IOT
7: IBM WATSON IOT
8: KAA IOT
9: IOT AND MACHINE LEARNING
10: PLATFORM COMPARISONS
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