Book Image

Hands-On Industrial Internet of Things

By : Giacomo Veneri, Antonio Capasso
Book Image

Hands-On Industrial Internet of Things

By: Giacomo Veneri, Antonio Capasso

Overview of this book

We live in an era where advanced automation is used to achieve accurate results. To set up an automation environment, you need to first configure a network that can be accessed anywhere and by any device. This book is a practical guide that helps you discover the technologies and use cases for Industrial Internet of Things (IIOT). Hands-On Industrial Internet of Things takes you through the implementation of industrial processes and specialized control devices and protocols. You’ll study the process of identifying and connecting to different industrial data sources gathered from different sensors. Furthermore, you’ll be able to connect these sensors to cloud network, such as AWS IoT, Azure IoT, Google IoT, and OEM IoT platforms, and extract data from the cloud to your devices. As you progress through the chapters, you’ll gain hands-on experience in using open source Node-Red, Kafka, Cassandra, and Python. You will also learn how to develop streaming and batch-based Machine Learning algorithms. By the end of this book, you will have mastered the features of Industry 4.0 and be able to build stronger, faster, and more reliable IoT infrastructure in your Industry.
Table of Contents (18 chapters)

Building visualizations with Power BI

Power BI is a suite for business analytics that provides insights and allows you to see live data. With Power BI, we can build a live dashboard with just a few clicks.

The first step is to create a Power BI account by navigating to https://app.powerbi.com/. We can activate a free 60-day account by providing our email address. We can also access Power BI from the Azure portal.

When we have registered, we need to connect our data flow from the IoT Hub to Power BI. This process is the same as we did for Stream Data Analytics, but we need to set the Power BI storage as the output of the data flow:

  1. From Data Stream Analytics, we can create a new job, called my-iiot-vis-job, with the following settings:
Input: "iiothub"
Query:
SELECT * into iiotpowerbi FROM iiothub
  1. For the output, click on the +Add button and then Power BI. We can then...